Journal of Applied Statistics
1997 - 2025
Current editor(s): Robert Aykroyd From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
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Volume 52, issue 5, 2025
- Clustering in point processes on linear networks using nearest neighbour volumes pp. 993-1016

- Juan F. Díaz-Sepúlveda, Nicoletta D'Angelo, Giada Adelfio, Jonatan A. González and Francisco J. Rodríguez-Cortés
- Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic pp. 1017-1039

- Wei Zhang, Antonietta Mira and Ernst C. Wit
- Regression-based rectangular tolerance regions as reference regions in laboratory medicine pp. 1040-1062

- Iana Michelle L. Garcia and Michael Daniel C. Lucagbo
- COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States pp. 1063-1080

- Yukang Jiang, Ting Tian, Wenting Zhou, Yuting Zhang, Zhongfei Li, Xueqin Wang and Heping Zhang
- Robust multi-outcome regression with correlated covariate blocks using fused LAD-lasso pp. 1081-1102

- Jyrki Möttönen, Tero Lähderanta, Janne Salonen and Mikko J. Sillanpää
- A novel ranked k-nearest neighbors algorithm for missing data imputation pp. 1103-1127

- Yasir Khan, Said Farooq Shah and Syed Muhammad Asim
- Reliability analysis based on doubly-truncated and interval-censored data pp. 1128-1143

- Pao-Sheng Shen and Huai-Man Li
- The PCovR biplot: a graphical tool for principal covariates regression pp. 1144-1159

- Elisa Frutos-Bernal and José Luis Vicente-Villardón
Volume 52, issue 4, 2025
- Quantile regression based method for characterizing risk-specific behavioral patterns in relation to longitudinal left-censored biomarker data collected from heterogeneous populations pp. 779-813

- MinJae Lee, Belinda M. Reininger, Kelley Pettee Gabriel, Nalini Ranjit and Larkin L. Strong
- On function-on-function linear quantile regression pp. 814-840

- Muge Mutis, Ufuk Beyaztas, Filiz Karaman and Han Lin Shang
- Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs pp. 841-867

- Xuchang Chen, Guoqiang Tang, Yumei Ren, Xin Lin and Tongzhi Li
- A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model pp. 868-893

- Daryan Naatjes, Stephen A. Sedory and Sarjinder Singh
- Framework for constructing an optimal weighted score based on agreement pp. 894-913

- Zhiping Qiu, Manatunga Amita, Limin Peng, Ying Guo and Tanja Jovanovic
- Bayesian inference for Laplace distribution based on complete and censored samples with illustrations pp. 914-935

- Wanyue Sun, Xiaojun Zhu, Zhehao Zhang and N. Balakrishnan
- Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring pp. 936-965

- Prakash Chandra, Hemanta Kumar Mandal, Yogesh Mani Tripathi and Liang Wang
- The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process pp. 966-992

- Xuelong Hu, Yixuan Ma, Jiening Zhang, Jiujun Zhang, Ali Yeganeh and Sandile Charles Shongwe
Volume 52, issue 3, 2025
- Estimating changepoints in extremal dependence, applied to aviation stock prices during COVID-19 pandemic pp. 525-554

- Arnab Hazra and Shiladitya Bose
- Performance of tests based on the area under the ROC curve for multireader diagnostic data pp. 555-577

- Yi-Ting Hwang, Ya-Ru Hsu and Nan-Cheng Su
- A novel Phase II single-arm hybrid design to minimize trial duration and enhance subsequent Phase III trial success rate pp. 578-594

- Jun Lu, Yuzi Zhang, Ying Cui, Limin Peng and Zhengjia Chen
- Fast maximum likelihood estimation for general hierarchical models pp. 595-623

- Johnny Hong, Sara Stoudt and Perry de Valpine
- Mixtures of logistic normal multinomial regression models for microbiome data pp. 624-655

- Wenshu Dai, Yuan Fang and Sanjeena Subedi
- Sample size calculation for the sequential parallel comparison design with binary endpoint using exact methods pp. 656-668

- Guogen Shan and Yahui Zhang
- Estimation of the mean exponential survival time under a sequential censoring scheme pp. 669-686

- Jun Hu, Hon Yiu So and Yan Zhuang
- Fast algorithms of computing admissible intervals for discrete distributions with single parameter pp. 687-701

- Weizhen Wang, Chongxiu Yu and Zhongzhan Zhang
- Modeling the time to dropout under phase-wise variable stress fixed cohort setup pp. 702-714

- Aniket Biswas, Subrata Chakraborty and Anupama Nandi
- A two-sample nonparametric test for one-sided location-scale alternative pp. 715-743

- Hidetoshi Murakami and Markus Neuhäuser
- A partitioned weighted moving average control chart pp. 744-777

- Raja Fawad Zafar, Michael B.C. Khoo, Huay Woon You, Sajal Saha and Wai Chung Yeong
Volume 52, issue 2, 2025
- Robust convex biclustering with a tuning-free method pp. 271-286

- Yifan Chen, Chunyin Lei, Chuanquan Li, Haiqiang Ma and Ningyuan Hu
- A Bayesian high-dimensional mediation analysis for multilevel genome-wide epigenetic data pp. 287-305

- Xi Qiao, Duy Ngo, Bilinda Straight, Belinda L. Needham, Charles E. Hilton and Amy Naugle
- Diagnostics for categorical response models based on quantile residuals and distance measures pp. 306-328

- Patrícia Peres Araripe, Idemauro Antonio Rodrigues de Lara, Gabriel Rodrigues Palma, Niamh Cahill and Rafael de Andrade Moral
- Depth-based statistical analysis in the spike train space pp. 329-355

- Xinyu Zhou and Wei Wu
- Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity pp. 356-380

- Juan Wang, Tai-Ge Wang, Shasha Yuan and Feng Li
- Time of week intensity estimation from partly interval censored data with applications to police patrol planning pp. 381-399

- Jiahao Tian and Michael D. Porter
- Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection pp. 400-428

- M. Norouzirad, R. Moura, M. Arashi and F. J. Marques
- A discrete Weibull proportional odds survival model pp. 429-447

- Marcílio Ramos Pereira Cardial, Juliana Cobre and Eduardo Yoshio Nakano
- Inference on exponentiated Rayleigh distribution with constant stress partially accelerated life tests under progressive type-II censoring pp. 448-476

- Huiying Yao and Wenhao Gui
- Inference and diagnostics for censored linear regression model with skewed generalized t distribution pp. 477-508

- Chengdi Lian, Yaohua Rong, Jinwen Liang, Ruijie Guan and Weihu Cheng
- Network-based topic structure visualization pp. 509-523

- Yeseul Jeon, Jina Park, Ick Hoon Jin and Dongjun Chung
Volume 52, issue 1, 2025
- Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset pp. 1-27

- Karen C. Rosa, Vinicius F. Calsavara and Francisco Louzada
- Z-residual diagnostic tool for assessing covariate functional form in shared frailty models pp. 28-58

- Tingxuan Wu, Longhai Li and Cindy Feng
- Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme pp. 59-96

- Jiao Yu, Chunjie Wu and Ping Luo
- Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults pp. 97-118

- Sanna Soomro and Keming Yu
- Optimal design of variables switch-based sampling scheme for verifying Weibull distributed product lifetimes pp. 119-134

- Chien-Wei Wu, Ming-Hung Shu and To-Cheng Wang
- Bayesian modeling framework for optimizing pre-hospital stroke triage decisions pp. 135-157

- Uche Nwoke, Mudassir Farooqui, Jacob Oleson, Nicholas Mohr, Santiago Ortega-Gutierrez and Grant D. Brown
- Sparse kernel k-means clustering pp. 158-182

- Beomjin Park, Changyi Park, Sungchul Hong and Hosik Choi
- Outcome-guided Bayesian clustering for disease subtype discovery using high-dimensional transcriptomic data pp. 183-207

- Lingsong Meng and Zhiguang Huo
- Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka pp. 208-220

- N. M. Wijesekara, N. Withanage and N. R. Abeynayake
- A new EWMA chart for simultaneously monitoring the parameters of a shifted exponential distribution pp. 221-252

- Amita Baranwal, Nirpeksh Kumar, Kashinath Chatterjee and Christos Koukouvinos
- Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation pp. 253-269

- Wenjun Zheng, Hongjian Zhu, K. Lance Gould and Dejian Lai
Volume 51, issue 16, 2024
- A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies pp. 3267-3291

- Ruohui Chen, Tuo Lin, Lin Liu, Jinyuan Liu, Ruifeng Chen, Jingjing Zou, Chenyu Liu, Loki Natarajan, Wan Tang, Xinlian Zhang and Xin Tu
- On efficiency of locally D-optimal designs under heteroscedasticity and non-Gaussianity pp. 3292-3307

- Xiao Zhang and Gang Shen
- The weighted sum of powers in mean for estimating a change point in linear processes with random coefficients pp. 3308-3332

- Yi Wu, Wei Wang, Shipeng Wu and Xuejun Wang
- KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions pp. 3333-3349

- Xueyan Liu, Stephan Komladzei and Clifford Guy
- A supervised weeding method to cluster high dimensional predictors with application to job market analysis pp. 3350-3365

- Yuyang Li, Jianxin Bi, Jingyuan Liu and Ying Yang
- Identifying waves of COVID-19 mortality using skew normal curves pp. 3366-3385

- Kamal Rai and Patrick E. Brown
- Estimating software reliability using size-biased modelling pp. 3386-3406

- Soumen Dey and Ashis Kumar Chakraborty
- Towards a unified test for the intercept of autoregressive models pp. 3407-3430

- Jing Zhang, Yawen Fan, Yu Wang, Xiaohui Liu and Bo Li
- Iterative smoothing for change-point regression function estimation pp. 3431-3455

- John Thompson
- Optimal double acceptance sampling plans based on truncated life tests for Tsallis q-exponential distributions pp. 3456-3467

- M. Naghizadeh Qomi and Arturo J. Fernández
- Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification pp. 3468-3485

- George Ekow Quaye, Wen-Yee Lee, Elizabeth Noriega Landa, Sabur Badmos, Kiana L. Holbrook and Xiaogang Su
- Review of the third edition of sampling: design and analysis pp. 3486-3494

- Emily Berg
Volume 51, issue 15, 2024
- Bayesian factor selection in a hybrid approach to confirmatory factor analysis pp. 3005-3038

- Junyu Nie and Jihnhee Yu
- Estimation of world seroprevalence of SARS-CoV-2 antibodies pp. 3039-3058

- Kwangmin Lee, Seongmin Kim, Seongil Jo and Jaeyong Lee
- Functional sufficient dimension reduction through information maximization with application to classification pp. 3059-3101

- Xinyu Li, Jianjun Xu and Haoyang Cheng
- Matching a discrete distribution by Poisson matching quantiles estimation pp. 3102-3124

- Hyungjun Lim and Arlene K. H. Kim
- Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data pp. 3125-3153

- Mohammad Parvej and Athar Ali Khan
- Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments pp. 3154-3177

- Kewin Pączek, Damian Jelito, Marcin Pitera and Agnieszka Wyłomańska
- New results on optimal conditional error functions for adaptive two-stage designs pp. 3178-3194

- Maximilian Pilz and Meinhard Kieser
- Directional false discovery rate control in large-scale multiple comparisons pp. 3195-3214

- Wenjuan Liang, Dongdong Xiang, Yajun Mei and Wendong Li
- A principal-weighted penalized regression model and its application in economic modeling pp. 3215-3232

- Mingwei Sun and Murong Xu
- MSE superiority of the unrestricted Stein-rule estimator in a regression model with a possible structural break pp. 3233-3247

- Haifeng Xu and Akio Namba
- Reparametrized generalized gamma partially linear regression with application to breast cancer data pp. 3248-3265

- Cleanderson R. Fidelis, Edwin M. M. Ortega, Fábio Prataviera, Roberto Vila and Gauss M. Cordeiro
Volume 51, issue 14, 2024
- Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models pp. 2719-2743

- Junhao Shan and Lei Wang
- Vector time series modelling of turbidity in Dublin Bay pp. 2744-2759

- Amin Shoari Nejad, Gerard D. McCarthy, Brian Kelleher, Anthony Grey and Andrew Parnell
- A new factor analysis model for factors obeying a Gamma distribution pp. 2760-2778

- Guoqiong Zhou, Wenjiang Jiang and Shixun Lin
- Multiple observers ranked set samples for shrinkage estimators pp. 2779-2811

- Andrew David Pearce and Armin Hatefi
- Anticipative Bayesian classification for data streams with verification latency pp. 2812-2831

- Vera Hofer, Georg Krempl and Dominik Lang
- A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data pp. 2832-2850

- Girish Aradhye, Deepesh Bhati and George Tzougas
- A robust likelihood approach to inference for paired multiple binary endpoints data pp. 2851-2865

- Tsung-Shan Tsou and Wei-Cheng Hsiao
- Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory pp. 2866-2893

- Alana Tavares Viana, Kelly Cristina Mota Gonçalves and Marina Silva Paez
- The impact of misclassifications and outliers on imputation methods pp. 2894-2928

- M. Templ and Markus Ulmer
- The link between multiplicative competitive interaction models and compositional data regression with a total pp. 2929-2960

- Lukas Dargel and Christine Thomas-Agnan
- A combined superiority and non-inferiority procedure for comparing predictive values of two diagnostic tests pp. 2961-2979

- Kanae Takahashi, Kouji Yamamoto and Ayumi Shintani
- Developing predictive precision medicine models by exploiting real-world data using machine learning methods pp. 2980-3003

- Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis and Vassilis P. Plagianakos
Volume 51, issue 13, 2024
- Mixed-level designs with orthogonality and relatively optimal run order pp. 2493-2511

- Wenwen Hu, Zujun Ou and Qiao Peng
- Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable pp. 2512-2528

- Ehsan Zamanzade, M. Mahdizadeh and Hani M. Samawi
- An improved agricultural household margin insurance scheme with insured–insurer risk protection: a time-varying copula approach pp. 2529-2557

- Atina Ahdika, Dedi Rosadi, Adhitya Ronnie Effendie and Gunardi
- Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood pp. 2558-2591

- Peiyao Wang and Wei Ning
- A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails pp. 2592-2626

- Grigorios Papageorgiou, Polychronis Economou and Sotirios Bersimis
- Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS pp. 2627-2651

- Zhujie Gu, Hae-Won Uh, Jeanine Houwing-Duistermaat and Said el Bouhaddani
- Estimating effects of time-varying exposures on mortality risk pp. 2652-2671

- Trevor J. Thomson, X. Joan Hu and Bohdan Nosyk
- Testing nonlinearity of heavy-tailed time series pp. 2672-2689

- Jan G. De Gooijer
- Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models pp. 2690-2708

- Hirofumi Michimae, Takeshi Emura, Atsushi Miyamoto and Kazuma Kishi
- A note on the unimodality and log-concavity of the exponentiated Teissier distribution pp. 2709-2714

- V. Kumaran and Vishwa Prakash Jha
- Discussion comments on “Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions” pp. 2715-2717

- Vikas Kumar Sharma, Sudhanshu V. Singh and Komal Shekhawat
Volume 51, issue 12, 2024
- Comparison of two statistical methodologies for a binary classification problem of two-dimensional images pp. 2279-2297

- Deniz A. Sanchez S., Rubén D. Guevara G. and Sergio A. Calderón V.
- Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables pp. 2298-2325

- Li Jin, Amitava Mukherjee, Zhi Song and Jiujun Zhang
- GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach pp. 2326-2343

- Nobin Chandra Paul, Anil Rai, Tauqueer Ahmad, Ankur Biswas and Prachi Misra Sahoo
- Determination of the number of clusters through logistic regression analysis pp. 2344-2363

- Soumita Modak
- A characteristic function based circular distribution family and its goodness of fit: The flexible wrapped Linnik family pp. 2364-2381

- Ashis SenGupta and Moumita Roy
- A Bayesian approach for evaluating equivalence over multiple groups, and comparison with frequentist tost pp. 2382-2401

- Jos Weusten, Ji Young Kim, Katherine Giacoletti, Jorge Vázquez and Plinio De los Santos
- Diagnostic checks in time series models based on a new correlation coefficient of residuals pp. 2402-2419

- Jian Pei, Fukang Zhu and Qi Li
- Confidence intervals and prediction intervals for two-parameter negative binomial distributions pp. 2420-2435

- Md Mahadi Hasan and K. Krishnamoorthy
- Interval-specific censoring set adjusted Kaplan–Meier estimator pp. 2436-2456

- Yaoshi Wu and John Kolassa
- Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients pp. 2457-2480

- R. Nasirzadeh and H. Bakouch
- Propensity score matching: a tool for consumer risk modeling and portfolio underwriting pp. 2481-2488

- Jennifer Lewis Priestley and Eric VonDohlen
- Post-shrinkage strategies in statistical and machine learning for high dimensional data pp. 2489-2491

- Shuangzhe Liu and Tiefeng Ma
Volume 51, issue 11, 2024
- The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems pp. 2039-2061

- Justin M. Leach, Nengjun Yi, Inmaculada Aban and The Alzheimer's Disease Neuroimaging Initiative
- The zero-and-plus/minus-one inflated extended-Poisson distribution pp. 2062-2089

- Maher Kachour and Christophe Chesneau
- Estimating the prevalence of osteoporosis using ranked-based methodologies and Manitoba's population-based BMD registry pp. 2090-2115

- Sedigheh Omidvar, Mohammad Jafari Jozani, Nader Nematollahi and Wiliam D. Leslie
- Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics pp. 2116-2138

- Hao Chen, Lanshan Han and Alvin Lim
- Bayesian transformation model for spatial partly interval-censored data pp. 2139-2156

- Mingyue Qiu and Tao Hu
- Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets pp. 2157-2177

- Matthieu Garcin, Jules Klein and Sana Laaribi
- A longitudinal study of the influence of air pollutants on children: a robust multivariate approach pp. 2178-2196

- Ian Meneghel Danilevicz, Pascal Bondon, Valdério Anselmo Reisen and Faradiba Sarquis Serpa
- Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data pp. 2197-2213

- Liugen Xue, Junshan Xie and Xiaohui Yang
- An exact projection pursuit-based algorithm for multivariate two-sample nonparametric testing applicable to retrospective and group sequential studies pp. 2214-2231

- Li Zou, Gregory Gurevich and Ablert Vexler
- Smoothing level selection for density estimators based on the moments pp. 2232-2257

- Rosa M. García-Fernández and Federico Palacios-González
- A computationally efficient sequential regression imputation algorithm for multilevel data pp. 2258-2278

- Tugba Akkaya Hocagil and Recai M. Yucel
Volume 51, issue 10, 2024
- The cluster D-trace loss for differential network analysis pp. 1843-1860

- Han Yan, Shuhan Lu and Sanguo Zhang
- Multiple comparisons of treatment against control under unequal variances using parametric bootstrap pp. 1861-1877

- Sarah Alver and Guoyi Zhang
- Statistical clustering of documents via stochastic blockmodels pp. 1878-1893

- Paul H. Atandoh and Kevin H. Lee
- Kernel mixed and Kernel stochastic restricted ridge predictions in the partially linear mixed measurement error models: an application to COVID-19 pp. 1894-1918

- Özge Kuran and Seçil Yalaz
- GARTFIMA process and its empirical spectral density based estimation pp. 1919-1945

- Niharika Bhootna and Arun Kumar
- Spatial analysis for interval-valued data pp. 1946-1960

- Austin Workman and Joon Jin Song
- Goodness-of-fit test for the one-sided Lévy distribution pp. 1961-1975

- Aditi Kumari and Deepesh Bhati
- Point estimation and related classification problems for several Lindley populations with application using COVID-19 data pp. 1976-2006

- Debasmita Bal, Manas Ranjan Tripathy and Somesh Kumar
- Prediction and model evaluation for space–time data pp. 2007-2024

- G. L. Watson, C. E. Reid, M. Jerrett and D. Telesca
- A novel two-way functional linear model with applications in human mortality data analysis pp. 2025-2038

- Xingyu Yan, Jiaqian Yu, Weiyong Ding, Hao Wang and Peng Zhao
Volume 51, issue 9, 2024
- Modelling and monitoring social network change based on exponential random graph models pp. 1621-1641

- Yantao Cai, Liu Liu and Zhonghua Li
- The generalized odd log-logistic-G regression with interval-censored survival data pp. 1642-1663

- Valdemiro P. Vigas, Edwin M. M. Ortega, Adriano K. Suzuki, Gauss M. Cordeiro and Paulo C. dos Santos Junior
- Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution pp. 1664-1688

- Mazen Nassar and Ahmed Elshahhat
- Current status data with two competing risks and time-dependent missing failure types pp. 1689-1708

- Tamalika Koley and Anup Dewanji
- Testing serial correlation in a general d-factor model with possible infinite variance pp. 1709-1728

- Yawen Fan, Xiaohui Liu, Ting Luo, Yao Rao and Hanqing Li
- Family of bivariate distributions on the unit square: theoretical properties and applications pp. 1729-1755

- Roberto Vila, Narayanaswamy Balakrishnan, Helton Saulo and Peter Zörnig
- Predicting dichotomised outcomes from high-dimensional data in biomedicine pp. 1756-1771

- Armin Rauschenberger and Enrico Glaab
- A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme pp. 1772-1791

- Danielle Peralta, Ricardo Puziol de Oliveira and Jorge Alberto Achcar
- A Lindley–binomial model for analyzing the proportions with sparseness and excessive zeros pp. 1792-1817

- Dianliang Deng and Xiaoqing Zhang
- Predictive accuracy of time series models applied to economic data: the European countries retail trade pp. 1818-1841

- S. Lima, A. M. Gonçalves and M. Costa
Volume 51, issue 8, 2024
- Robust and efficient subsampling algorithms for massive data logistic regression pp. 1427-1445

- Jun Jin, Shuangzhe Liu and Tiefeng Ma
- A general class of trimodal distributions: properties and inference pp. 1446-1469

- Roberto Vila, Victor Serra, Mehmet Niyazi Çankaya and Felipe Quintino
- Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme pp. 1470-1496

- Weihua Shi and Wenhao Gui
- Combining phenotypic and genomic data to improve prediction of binary traits pp. 1497-1523

- D. Jarquin, A. Roy, B. Clarke and S. Ghosal
- Full Bayesian analysis of double seasonal autoregressive models with real applications pp. 1524-1544

- Ayman A. Amin
- Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models pp. 1545-1569

- Reiko Aoki, Juan P. Mamani Bustamante, Cibele M. Russo and Gilberto A. Paula
- Instrumental variable estimation for functional concurrent regression models pp. 1570-1589

- Justin Petrovich, Bahaeddine Taoufik and Zachary George Davis
- Robust explicit estimators using the power-weighted repeated medians pp. 1590-1608

- Chanseok Park, Xuehong Gao and Min Wang
- Estimating intracluster correlation for ordinal data pp. 1609-1617

- Benjamin W. Langworthy, Zhaoxun Hou, Gary C. Curhan, Sharon G. Curhan and Molin Wang
- Finding groups in data: an introduction to cluster analysis pp. 1618-1620

- Soumita Modak
Volume 51, issue 7, 2024
- The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications pp. 1227-1250

- Seyedeh Mahbubeh Hoseini Baladezaei, Einolah Deiri and Ezzatallah Baloui Jamkhaneh
- Estimation of accelerated hazards models based on case K informatively interval-censored failure time data pp. 1251-1270

- Rui Ma, Shishun Zhao, Jianguo Sun and Shuying Wang
- Bayesian sample size determination for coefficient of variation of normal distribution pp. 1271-1286

- Sajid Ali, Mariyam Waheed, Ismail Shah and Syed Muhammad Muslim Raza
- Functional principal component models for sparse and irregularly spaced data by Bayesian inference pp. 1287-1317

- Jun Ye
- Robust autoregressive modeling and its diagnostic analytics with a COVID-19 related application pp. 1318-1343

- Yonghui Liu, Jing Wang, Víctor Leiva, Alejandra Tapia, Wei Tan and Shuangzhe Liu
- Analysis of survival outcomes using likelihood ratio test in trials incorporating patient's treatment choice pp. 1344-1358

- Rouba A. Chahine and Inmaculada Aban
- Robust scalar-on-function partial quantile regression pp. 1359-1377

- Ufuk Beyaztas, Mujgan Tez and Han Lin Shang
- A new family of quantile regression models applied to nutritional data pp. 1378-1398

- Isaac E. Cortés, Mário de Castro and Diego I. Gallardo
- Improving the Hosmer-Lemeshow goodness-of-fit test in large models with replicated Bernoulli trials pp. 1399-1411

- Nikola Surjanovic and Thomas M. Loughin
- Forecasting of the true satellite carbon monoxide data with ensemble empirical mode decomposition, singular value decomposition and moving average pp. 1412-1426

- Sameer Poongadan and M. C. Lineesh
Volume 51, issue 6, 2024
- A monotone single index model for missing-at-random longitudinal proportion data pp. 1023-1040

- Satwik Acharyya, Debdeep Pati, Shumei Sun and Dipankar Bandyopadhyay
- Smoothing regression and impact measures for accidents of traffic flows pp. 1041-1056

- Zhou Yu, Jie Yang and Hsin-Hsiung Huang
- Imputed mean tensor regression for near-sited spatial temporal data pp. 1057-1075

- Jinwen Liang and Maozai Tian
- Hybrid statistical and machine learning modeling of cognitive neuroscience data pp. 1076-1097

- Serenay Cakar and Fulya Gokalp Yavuz
- Variable selection for quantile autoregressive model: Bayesian methods versus classical methods pp. 1098-1130

- Bo Peng, Kai Yang and Xiaogang Dong
- Epidemic change-point detection in general integer-valued time series pp. 1131-1150

- Mamadou Lamine Diop and William Kengne
- Penalized robust learning for optimal treatment regimes with heterogeneous individualized treatment effects pp. 1151-1170

- Canhui Li, Weirong Li and Wensheng Zhu
- Distribution-free Phase II triple EWMA control chart for joint monitoring the process location and scale parameters pp. 1171-1190

- Vasileios Alevizakos, Kashinath Chatterjee and Christos Koukouvinos
- Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study pp. 1191-1209

- David Angeles, Sebastian Kurtek, Elizabeth Klein, Marielle Brinkman and Amy Ferketich
- Classifying contaminated cell cultures using time series features pp. 1210-1226

- Laura L. Tupper, Charles R. Keese and David S. Matteson
Volume 51, issue 5, 2024
- The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence pp. 809-825

- Dong Han, Fugee Tsung and Lei Qiao
- A new flexible regression model with application to recovery probability Covid-19 patients pp. 826-844

- F. Prataviera, E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho and R. Vila
- Learning the structure of the mTOR protein signaling pathway from protein phosphorylation data pp. 845-865

- Abdul Salam and Marco Grzegorczyk
- Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures pp. 866-890

- Osafu Augustine Egbon and Ezra Gayawan
- Selection of the optimal personalized treatment from multiple treatments with right-censored multivariate outcome measures pp. 891-912

- Chathura Siriwardhana, K.B. Kulasekera and Somnath Datta
- Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval pp. 913-934

- Muhammad Imran, Jinsheng Sun, Xuelong Hu, Fatima Sehar Zaidi and Anan Tang
- Aggregated parameter update schemes for monitoring binary profiles pp. 935-957

- Yifan Li, Chunjie Wu, Zhijun Wang and Zhiming Hu
- Bayesian adaptive selection of basis functions for functional data representation pp. 958-992

- Pedro Henrique T. O. Sousa, Camila P. E. de Souza and Ronaldo Dias
- kppmenet: combining the kppm and elastic net regularization for inhomogeneous Cox point process with correlated covariates pp. 993-1006

- Achmad Choiruddin, Tabita Yuni Susanto, Ahmad Husain and Yuniar Mega Kartikasari
- Alternative statistical modeling for radical prostatectomy data pp. 1007-1022

- Julio C. S. Vasconcelos, Thiago da Costa Travassos, Edwin M. M. Ortega, Gauss M. Cordeiro and Leonardo Oliveira Reis
Volume 51, issue 4, 2024
- Bootstrap-adjusted quasi-likelihood information criteria for mixed model selection pp. 621-645

- Wentao Ge and Junfeng Shang
- The heterogeneity effect of surveillance intervals on progression free survival pp. 646-663

- Zihang Zhong, Min Yang, Senmiao Ni, Lixin Cai, Jingwei Wu, Jianling Bai and Hao Yu
- A model for bimodal rates and proportions pp. 664-681

- Roberto Vila, Lucas Alfaia, André F.B. Menezes, Mehmet N. Çankaya and Marcelo Bourguignon
- Selection of random coefficients in ordered response models: a framework to detect heterogeneity in household surveys pp. 682-700

- Padma Sharma
- Regression models for the full distribution to exceedance data pp. 701-720

- Fernando Ferraz do Nascimento and Aline Raquel Assunção Nunes
- A Bayesian nonparametric model for bounded directional data on the positive orthant of the unit sphere pp. 721-739

- Emiliano Geneyro and Gabriel Núñez-Antonio
- TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation pp. 740-758

- D. Scaldelai, L. C. Matioli and S. R. Santos
- The sparse estimation of the semiparametric linear transformation model with dependent current status data pp. 759-779

- Lin Luo, Jinzhao Yu and Hui Zhao
- Cox regression with doubly truncated responses and time-dependent covariates: the impact of innovation on firm survival pp. 780-792

- J. de Uña-Álvarez, Ana Martínez-Senra, M. S. Otero-Giráldez and M. A. Quintás
- Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States pp. 793-807

- Katherine Vorpe, Sierra Hessinger, Rebekah Poth and Tatjana Miljkovic
Volume 51, issue 3, 2024
- Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters pp. 407-429

- Pushkal Kumar, Manas Ranjan Tripathy and Somesh Kumar
- Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study pp. 430-450

- Le Chen, Ruochen Tian, Guanjie Chen, Ao Yuan, Chuan-Ming Li, Amy R. Bentley, Howard J. Hoffman and Charles Rotimi
- Statistical inference for Gompertz distribution under adaptive type-II progressive hybrid censoring pp. 451-480

- Qi Lv, Yajie Tian and Wenhao Gui
- Inferential procedures based on the weighted Pearson correlation coefficient test statistic pp. 481-496

- Han Yu and Alan D. Hutson
- Performance of diagnostic tests based on continuous bivariate markers pp. 497-514

- Hani Samawi, Ding-Geng Chen, Jingjing Yin and Marwan Alsharman
- New nonparametric measures for instantaneous and granger-causality tail co-dependence pp. 515-533

- Cees Diks and Marcin Wolski
- Optimal design of stress levels in accelerated degradation testing for multivariate linear degradation models pp. 534-554

- Helmi Shat
- Robust tests for multivariate repeated measures with small samples pp. 555-580

- Ting Zeng and Solomon W. Harrar
- Impact of COVID-19 on public social life and mental health: a statistical study of google trends data from the USA pp. 581-605

- Archi Roy, Soudeep Deb and Divya Chakarwarti
- Partially constrained group variable selection to adjust for complementary unit performance in American college football pp. 606-620

- A. Skripnikov
Volume 51, issue 2, 2024
- A Bayesian approach for de-duplication in the presence of relational data pp. 197-215

- Juan Sosa and Abel Rodríguez
- A stochastic model for NFL games and point spread assessment pp. 216-229

- Muhammad Mohsin and Albrecht Gebhardt
- Bootstrapping a powerful mixed portmanteau test for time series pp. 230-255

- Esam Mahdi and Thomas J. Fisher
- A comparison of single- and double-threshold ROC plots for mixture distributions pp. 256-278

- Faryal Ibrar, Sajid Ali and Ismail Shah
- Model averaging in calibration of near-infrared instruments with correlated high-dimensional data pp. 279-297

- Deiby Tineke Salaki, Anang Kurnia, Bagus Sartono, I Wayan Mangku and Arief Gusnanto
- Statistical methods for assessing drug interactions using observational data pp. 298-323

- Qian Xu, Demetra Antimisiaris and Maiying Kong
- K-Bessel regression model for speckled data pp. 324-347

- A. D. C. Nascimento, P. M. Almeida-Junior, J. M. Vasconcelos and A. P. M. Borges-Junior
- A size-of-loss model for the negatively skewed insurance claims data: applications, risk analysis using different methods and statistical forecasting pp. 348-369

- Heba Soltan Mohamed, Gauss M. Cordeiro, R. Minkah, Haitham M. Yousof and Mohamed Ibrahim
- A hidden Markov modeling approach combining objective measure of activity and subjective measure of self-reported sleep to estimate the sleep-wake cycle pp. 370-387

- Semhar B. Ogbagaber, Yifan Cui, Kaigang Li, Ronald J. Iannotti and Paul S. Albert
- Joint modelling of mental health markers through pregnancy: a Bayesian semi-parametric approach pp. 388-405

- Shengxiao Vincent Feng, Willem van den Boom, Maria De Iorio, Gladi J. Thng, Jerry K. Y. Chan, Helen Y. Chen, Kok Hian Tan and Michelle Z. L. Kee
Volume 51, issue 1, 2024
- Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme pp. 1-33

- Subhankar Dutta and Suchandan Kayal
- A new method for estimating Sharpe ratio function via local maximum likelihood pp. 34-52

- Wenchao Xu, Hongmei Lin, Tiejun Tong and Riquan Zhang
- Model averaging estimation of panel data models with many instruments and boosting pp. 53-69

- Hao Hao, Bai Huang and Tae Hwy Lee
- A Markov random field model with cumulative logistic functions for spatially dependent ordinal data pp. 70-86

- Ryan H.L. Ip and K.Y.K. Wu
- A test for comparing conditional ROC curves with multidimensional covariates pp. 87-113

- A. Fanjul-Hevia, J. C. Pardo-Fernández, I. Van Keilegom and W. González-Manteiga
- Bayesian dynamic network modelling: an application to metabolic associations in cardiovascular diseases pp. 114-138

- Marco Molinari, Andrea Cremaschi, Maria De Iorio, Nishi Chaturvedi, Alun Hughes and Therese Tillin
- Continuity corrected score confidence interval for the difference in proportions in paired data pp. 139-152

- Peter Chang, Rongzi Liu, Tingting Hou, Xinyu Yan and Guogen Shan
- Dealing with missing data under stratified sampling designs where strata are study domains pp. 153-167

- Carlos E. Rodríguez, Luis E. Nieto-Barajas and Carlos S. Pérez-Pérez
- A two-stage latent factor regression method to model the common and unique effects of multiple highly correlated exposure variables pp. 168-192

- Cindy Feng and Xi Chen
- New advances in statistics and data science pp. 193-195

- Jianguo Sun
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