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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 50, issue 16, 2023

Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions pp. 3199-3228

Fatemeh Hassantabar Darzi, Samaneh Eftekhari Mahabadi and Firoozeh Haghighi

Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation pp. 3229-3250

Somnath Chaudhuri, Pablo Juan and Jorge Mateu

Estimation for volunteer web survey samples using a model-averaging approach pp. 3251-3271

Zhan Liu, Junbo Zheng, Chaofeng Tu and Yingli Pan

Three approaches to supervised learning for compositional data with pairwise logratios pp. 3272-3293

Germà Coenders and Michael Greenacre

A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies pp. 3294-3311

Soyun Park, Jihnhee Yu, Hwa-Hyoung Woo and Chun Gun Park

Robust and sparse learning of varying coefficient models with high-dimensional features pp. 3312-3336

Wei Xiong, Maozai Tian, Manlai Tang and Han Pan

Variable selection in linear-circular regression models pp. 3337-3361

Onur Camli, Zeynep Kalaylioglu and Ashis SenGupta

A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014 pp. 3362-3383

Carolina Luque and Juan Sosa

A general class of small area estimation using calibrated hierarchical likelihood approach with applications to COVID-19 data pp. 3384-3404

Nirosha Rathnayake, Hongying Daisy Dai, Richard Charnigo, Kendra Schmid and Jane Meza

Volume 50, issue 15, 2023

An efficient estimation approach to joint modeling of longitudinal and survival data pp. 3031-3047

Jody Krahn, Shakhawat Hossain and Shahedul Khan

A flexible test for early-stage studies with multiple endpoints pp. 3048-3061

R. N. Montgomery, L.T. Ptomey and J. D. Mahnken

Goodness of fit tests for random multigraph models pp. 3062-3087

Termeh Shafie

Observed heterogeneity in players' football performance analysis using PLS-PM pp. 3088-3107

Mattia Cefis

On parameter estimation of the standard omega distribution pp. 3108-3124

İsmet Birbiçer and Ali İ. Genç

Complexities of information sources pp. 3125-3141

Yamin Sayyari, Mohammad Reza Molaei and Adel Mehrpooya

Testing exchangeability of multivariate distributions pp. 3142-3156

Jan Kalina and Patrik Janáček

Penalized likelihood methods for modeling count data pp. 3157-3176

Minh Thu Bui, Cornelis J. Potgieter and Akihito Kamata

Multipopulation mortality modelling and forecasting: the weighted multivariate functional principal component approaches pp. 3177-3198

Ka Kin Lam and Bo Wang

Volume 50, issue 14, 2023

Editorial to the special issue: modern streaming data analytics pp. 2857-2861

Yajun Mei, Jay Bartroff, Jie Chen, Georgios Fellouris and Ruizhi Zhang

Detection and estimation of multiple transient changes pp. 2862-2888

Michael Baron and Sergey V. Malov

Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection pp. 2889-2913

Jiuyun Hu, Yajun Mei, Sarah Holte and Hao Yan

Interpretable, predictive spatio-temporal models via enhanced pairwise directions estimation pp. 2914-2933

Heng-Hui Lue and ShengLi Tzeng

Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence pp. 2934-2950

David Lun, Svenja Fischer, Alberto Viglione and Günter Blöschl

Active learning-based multistage sequential decision-making model with application on common bile duct stone evaluation pp. 2951-2969

Hongzhen Tian, Reuven Zev Cohen, Chuck Zhang and Yajun Mei

Knockoff procedure for false discovery rate control in high-dimensional data streams pp. 2970-2983

Ka Wai Tsang, Fugee Tsung and Zhihao Xu

Rapid online plant leaf area change detection with high-throughput plant image data pp. 2984-2998

Yinglun Zhan, Ruizhi Zhang, Yuzhen Zhou, Vincent Stoerger, Jeremy Hiller, Tala Awada and Yufeng Ge

Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition pp. 2999-3029

Yujie Zhao, Xiaoming Huo and Yajun Mei

Volume 50, issue 13, 2023

A stationary Weibull process and its applications pp. 2681-2700

Debasis Kundu

Bayesian models for spatial count data with informative finite populations with application to the American community survey pp. 2701-2716

Kai Qu and Jonathan R. Bradley

Analysis of medians under two-way model with and without interaction for Birnbaum–Saunders distributed response pp. 2717-2738

S. M. Patil and H. V. Kulkarni

Joint modelling of longitudinal measurements and survival times via a multivariate copula approach pp. 2739-2759

Zili Zhang, Christiana Charalambous and Peter Foster

Bayesian heterogeneity in a meta–analysis with two studies and binary data pp. 2760-2776

M. Martel, M. A. Negrín and F. J. Vázquez–Polo

Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model pp. 2777-2795

Daniel Ries and Alicia Carriquiry

Determination of new multiple deferred state sampling plan with economic perspective under Weibull distribution pp. 2796-2816

Jeyadurga Periyasamypandian and Saminathan Balamurali

Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data pp. 2817-2835

Siti Zahariah and Habshah Midi

Forward variable selection for random forest models pp. 2836-2856

Jasper Velthoen, Juan-Juan Cai and Geurt Jongbloed

Volume 50, issue 11-12, 2023

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data pp. 2287-2293

Arnold Stromberg, Jie Chen, Teresa Paula Costa Azinheira Oliveira, Yichuan Zhao, Ramin Moghaddass and Milan Stehlik

Point process models for COVID-19 cases and deaths pp. 2294-2309

Álvaro Gajardo and Hans-Georg Müller

A spatio-temporal statistical model to analyze COVID-19 spread in the USA pp. 2310-2329

Siddharth Rawat and Soudeep Deb

Statistical modelling of COVID-19 pandemic development applying branching processes pp. 2330-2342

D. Atanasov, Vessela Stoimenova and Nikolay M. Yanev

On regime changes of COVID-19 outbreak pp. 2343-2359

A. Tchorbadjieff, L. P. Tomov, V. Velev, G. Dezhov, V. Manev and P. Mayster

Identifying the cycles in COVID-19 infection: the case of Turkey pp. 2360-2372

Yılmaz Akdi, Yunus Emre Karamanoğlu, Kamil Demirberk Ünlü and Cem Baş

Time fused coefficient SIR model with application to COVID-19 epidemic in the United States pp. 2373-2387

Hou-Cheng Yang, Yishu Xue, Yuqing Pan, Qingyang Liu and Guanyu Hu

Hot spot identification method based on Andrews curves: an application on the COVID-19 crisis effects on caregiver distress in neurocognitive disorder pp. 2388-2407

E. Skamnia, P. Economou, S. Bersimis, M. Frouda, A. Politis and P. Alexopoulos

Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing pp. 2408-2434

Guannan Wang, Zhiling Gu, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Lei Gao and Li Wang

On evolution model for SARS-Cov-2-infected population: the case of New Zealand pp. 2435-2449

Estate Khmaladze and Giorgi Kvizhinadze

A latent space model and Hotelling's T2 control chart to monitor the networks of Covid-19 symptoms pp. 2450-2472

Fatemeh Elhambakhsh, Kamyar Sabri-Laghaie and Rassoul Noorossana

Classification and severity progression measure of COVID-19 patients using pairs of multi-omic factors pp. 2473-2503

Teng Chen, Paweł Polak and Stanislav Uryasev

A continuous age-specific standardized mortality ratio for estimating the unascertained rates in the early epidemic of COVID-19 in different regions pp. 2504-2517

Peipei Du, Peihua Cao, Xiaodong Yan, Daihai He, Xiaotong Zhang, Weixiang Chen, Jiawei Luo, Ziqian Zeng, Yaolong Chen, Lin Yang, Shu Yang and Xixi Feng

Modeling the heterogeneity in COVID-19's reproductive number and its impact on predictive scenarios pp. 2518-2546

Claire Donnat and Susan Holmes

Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China pp. 2547-2560

Ting Tian, Jingwen Zhang, Shiyun Lin, Yukang Jiang, Jianbin Tan, Zhongfei Li and Xueqin Wang

Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models pp. 2561-2574

Xiaolei Zhang and Renjun Ma

Latent trait models for perceived risk assessment using a Covid-19 data survey pp. 2575-2598

S. Bacci, R. Fabbricatore and Maria Iannario

Exact inference for disease prevalence based on a test with unknown specificity and sensitivity pp. 2599-2623

Bryan Cai, John P. A. Ioannidis, Eran Bendavid and Lu Tian

Identification of factors impacting on the transmission and mortality of COVID-19 pp. 2624-2647

Peiyi Zhang, Tianning Dong, Ninghui Li and Faming Liang

Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates pp. 2648-2662

Mohsen Maleki, Hamid Bidram and Darren Wraith

Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States pp. 2663-2680

Kevin D. Dayaratna, Drew Gonshorowski and Mary Kolesar

Volume 50, issue 10, 2023

A double generally weighted moving average control chart for monitoring the process variability pp. 2079-2107

Vasileios Alevizakos, Kashinath Chatterjee, Christos Koukouvinos and Angeliki Lappa

Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall pp. 2108-2126

Fidel Ernesto Castro Morales and Daniele Torres Rodrigues

Some properties of stop-loss moments under biased sampling pp. 2127-2150

N Vipin, Indranil Ghosh and S. M. Sunoj

Efficient estimation of a Cox model when integrating the subgroup incidence rate information pp. 2151-2170

Pei-Fang Su, Junjiang Zhong, Yi-Chia Liu, Tzu-Hsuan Lin and Huang-Tz Ou

Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model pp. 2171-2193

Yulan B. van Oppen, Gabi Milder-Mulderij, Christophe Brochard, Rink Wiggers, Saskia de Vries, Wim P. Krijnen and Marco A. Grzegorczyk

A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19 pp. 2194-2208

E. F. Saraiva, L. Sauer and C. A. B. Pereira

The fraud loss for selecting the model complexity in fraud detection pp. 2209-2227

Simon Boge Brant and Ingrid Hobæk Haff

The efficient design of Nested Group Testing algorithms for disease identification in clustered data pp. 2228-2245

Ana F. Best, Yaakov Malinovsky and Paul S. Albert

The relationship between moderate to vigorous physical activity and metabolic syndrome: a Bayesian measurement error approach pp. 2246-2266

Daniel Ries and Alicia Carriquiry

Functional data analysis of the relationship between electricity consumption and climate change drivers pp. 2267-2285

A. Elayouty and Hala Abou-Ali

Volume 50, issue 9, 2023

A competing risk study of menarcheal age distribution based on non-recall current status data pp. 1877-1899

C. P. Yadav, Sanjeev K. Tomer and M. S. Panwar

LIC criterion for optimal subset selection in distributed interval estimation pp. 1900-1920

Guangbao Guo, Yue Sun, Guoqi Qian and Qian Wang

Goodness-of-fit inference for the additive hazards regression model with clustered current status data pp. 1921-1941

Yanqin Feng, Jie Wang and Yang Li

Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization pp. 1942-1961

Kwan-Young Bak, Jae-Kyung Shin and Ja-Yong Koo

Incomplete clustering analysis via multiple imputation pp. 1962-1979

Jung Wun Lee and Ofer Harel

On detecting the effect of exposure mixture pp. 1980-1991

Xinhua Liu and Zhezhen Jin

Data-driven choice of a model selection method in joinpoint regression pp. 1992-2013

Hyune-Ju Kim, Huann-Sheng Chen, Douglas Midthune, Bill Wheeler, Dennis W. Buckman, Donald Green, Jeffrey Byrne, Jun Luo and Eric J. Feuer

Bayesian negative binomial regression model with unobserved covariates for predicting the frequency of north atlantic tropical storms pp. 2014-2035

Xun Li, Joyee Ghosh and Gabriele Villarini

Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting pp. 2036-2054

Xin Zhao, Stuart Barber, Charles C Taylor, Xiaokai Nie and Wenqian Shen

Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studies pp. 2055-2078

Shu Wang, Elias Sayour and Ji-Hyun Lee

Volume 50, issue 8, 2023

The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil pp. 1665-1685

E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho and I. Silva

A fusion learning method to subgroup analysis of Alzheimer's disease pp. 1686-1708

Mingming Liu, Jing Yang, Yushi Liu, Bochao Jia, Yun-Fei Chen, Luna Sun and Shujie Ma

Application of the skew exponential power distribution to ROC curves pp. 1709-1724

Kristopher Attwood, Surui Hou and Alan Hutson

A statistical testing procedure for validating class labels pp. 1725-1749

Melissa C. Key, Susanne Ragg and Benzion Boukai

Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations pp. 1750-1771

Angkana Kokaew, Winai Bodhisuwan, Su-Fen Yang and Andrei Volodin

On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance pp. 1772-1789

Jing Kersey, Hani Samawi, Jingjing Yin, Haresh Rochani and Xinyan Zhang

An adjusted partial least squares regression framework to utilize additional exposure information in environmental mixture data analysis pp. 1790-1811

Ruofei Du, Li Luo, Laurie G. Hudson, Sara Nozadi and Johnnye Lewis

A multivariate spatiotemporal model for tracking COVID-19 incidence and death rates in socially vulnerable populations pp. 1812-1835

Brian Neelon, Chun-Che Wen and Sara E. Benjamin-Neelon

A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi pp. 1836-1852

Tsirizani M. Kaombe and Samuel O. M. Manda

Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19 pp. 1853-1875

Wantanee Poonvoralak

Volume 50, issue 7, 2023

Revisiting the analysis pipeline for overdispersed Poisson and binomial data pp. 1455-1476

Woojoo Lee, Jeonghwan Kim and Donghwan Lee

A robust latent CUSUM chart for monitoring customer attrition pp. 1477-1495

Chunjie Wu, Zhijun Wang, Steven MacEachern and Jingjing Schneider

The Kendall interaction filter for variable interaction screening in high dimensional classification problems pp. 1496-1514

Youssef Anzarmou, Abdallah Mkhadri and Karim Oualkacha

Variable targeting and reduction in large vector autoregressions with applications to workforce indicators pp. 1515-1537

T. S. McElroy and Thomas Trimbur

Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data pp. 1538-1567

Shubham Saini, Sachin Tomer and Renu Garg

Fast inference for robust nonlinear mixed-effects models pp. 1568-1591

José Clelto Barros Gomes, Reiko Aoki, Victor Hugo Lachos, Gilberto Alvarenga Paula and Cibele Maria Russo

Confidence intervals for ratios of means applied to corpus-based word frequency classes pp. 1592-1610

Brent Burch and Jesse Egbert

Sensitivity analysis of error-contaminated time series data under autoregressive models with the application of COVID-19 data pp. 1611-1634

Qihuang Zhang and Grace Y. Yi

Income and democracy: a bivariate copula approach pp. 1635-1649

Suzanna-Maria Paleologou

Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan pp. 1650-1663

Masao Ueki

Volume 50, issue 6, 2023

Inference for a discretized stochastic logistic differential equation and its application to biological growth pp. 1231-1254

F. Delgado-Vences, F. Baltazar-Larios, A. Ornelas Vargas, E. Morales-Bojórquez, V. H. Cruz-Escalona and C. Salomón Aguilar

Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration pp. 1255-1282

Clécio S. Ferreira, Camila Borelli Zeller and Rafael R. de Oliveira Garcia

Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector pp. 1283-1309

O. Eguasa, E Edionwe and J. I. Mbegbu

Bayesian hierarchical models for the prediction of the driver flow and passenger waiting times in a stochastic carpooling service pp. 1310-1333

Panayotis Papoutsis, Tarn Duong, Bertrand Michel and Anne Philippe

Tests and classification methods in adaptive designs with applications pp. 1334-1357

Diana Q. Chen, Si-Qi Mao and Xu-Feng Niu

Compound truncated Poisson gamma distribution for understanding multimodal SAR intensities pp. 1358-1377

A. D. C. Nascimento, Leandro C. Rêgo and Jonas W. A. Silva

Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data pp. 1378-1399

Jinwen Liang and Maozai Tian

Prediction models with graph kernel regularization for network data pp. 1400-1417

Jie Liu, Haojie Chen and Yang Yang

On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19 pp. 1418-1434

ShengLi Tzeng, Chun-Shu Chen, Yu-Fen Li and Jin-Hua Chen

Spot It! and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries? pp. 1435-1454

Richard F. Potthoff

Volume 50, issue 5, 2023

Ultrastructural calibration model for proficiency testing pp. 1037-1059

Reiko Aoki, Dorival Leão, Juan P. Mamani Bustamante and Filidor Vilca

Homogeneity test of relative risk ratios for stratified bilateral data under different algorithms pp. 1060-1077

Ke-Yi Mou, Chang-Xing Ma and Zhi-Ming Li

Pearson's goodness-of-fit tests for sparse distributions pp. 1078-1093

Shuhua Chang, Deli Li and Yongcheng Qi

Generalized fiducial methods for testing the homogeneity of a three-sample problem with a mixture structure pp. 1094-1114

Pengcheng Ren, Guanfu Liu and Xiaolong Pu

Personalized treatment selection using observational data pp. 1115-1127

K. B. Kulasekera, Sudaraka Tholkage and Maiying Kong

The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models pp. 1128-1151

Kenneth Flagg and Andrew Hoegh

Log-mean distribution: applications to medical data, survival regression, Bayesian and non-Bayesian discussion with MCMC algorithm pp. 1152-1177

O. Kharazmi, G. G. Hamedani and G. M. Cordeiro

Model-based joint curve registration and classification pp. 1178-1198

Lin Tang, Pengcheng Zeng, Jian Qing Shi and Won-Seok Kim

A random effect regression based on the odd log-logistic generalized inverse Gaussian distribution pp. 1199-1214

J. C. S. Vasconcelos, G. M. Cordeiro, E. M. M. Ortega and G. O. Silva

Fully nonparametric survival analysis in the presence of time-dependent covariates and dependent censoring pp. 1215-1229

David M. Ruth, Nicholas L. Wood and Douglas N. VanDerwerken

Volume 50, issue 4, 2023

Distribution-free Phase-I scheme for location, scale and skewness shifts with an application in monitoring customers' waiting time pp. 827-847

Akira Suzuki, Hidetoshi Murakami and Amitava Mukherjee

A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches pp. 848-870

Erina Paul, Ram C. Tiwari, Shrabanti Chowdhury and Samiran Ghosh

A finite mixture mixed proportion regression model for classification problems in longitudinal voting data pp. 871-888

Rosineide da Paz, Jorge Luis Bazán, Victor Hugo Lachos and Dipak Dey

The unit log–log distribution: a new unit distribution with alternative quantile regression modeling and educational measurements applications pp. 889-908

Mustafa Ç. Korkmaz and Zehra Sedef Korkmaz

Functional distributional clustering using spatio-temporal data pp. 909-926

A. Venkatasubramaniam, L. Evers, P. Thakuriah and K. Ampountolas

Testing quantitative trait locus effects in genetic backcross studies with double recombination occurring pp. 927-944

Guanfu Liu and Zongliang Hu

Monitoring the Weibull shape parameter under progressive censoring in presence of independent competing risks pp. 945-962

Rusul Mohsin Moharib Alsarray, Jaber Kazempoor and Adel Ahmadi Nadi

Curve fitting and jump detection on nonparametric regression with missing data pp. 963-983

Qianyi Li, Jianbo Li, Yongran Cheng and Riquan Zhang

Estimating the parameters of a dependent model and applying it to environmental data set pp. 984-1016

V. Mohtashami-Borzadaran, M. Amini and J. Ahmadi

Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets pp. 1017-1035

Muhammad Atif, Muhammad Shafiq and Friedrich Leisch

Volume 50, issue 3, 2023

Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning pp. 451-455

Yichuan Zhao, Chi-Hua Chen, Feng Feng and Dragan Pamucar

Two-sample Behrens–Fisher problems for high-dimensional data: a normal reference scale-invariant test pp. 456-476

Liang Zhang, Tianming Zhu and Jin-Ting Zhang

An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19 pp. 477-494

Denis A. Pustokhin, Irina V. Pustokhina, Phuoc Nguyen Dinh, Son Van Phan, Gia Nhu Nguyen, Gyanendra Prasad Joshi and Shankar K.

A practical two-sample test for weighted random graphs pp. 495-511

Mingao Yuan and Qian Wen

Model estimation and selection for partial linear varying coefficient EV models with longitudinal data pp. 512-534

Mingtao Zhao, Xiaoli Xu, Yanling Zhu, Kongsheng Zhang and Yan Zhou

Regularized regression when covariates are linked on a network: the 3CoSE algorithm pp. 535-554

Matthias Weber, Jonas Striaukas, Martin Schumacher and Harald Binder

A distributed multiple sample testing for massive data pp. 555-573

Xie Xiaoyue, Jian Shi and Kai Song

Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling pp. 574-591

Anton Thielmann, Christoph Weisser, Astrid Krenz and Benjamin Säfken

An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks pp. 592-609

Fang Fan, Shu-Chuan Chu, Jeng-Shyang Pan, Chuang Lin and Huiqi Zhao

Modeling multivariate cyber risks: deep learning dating extreme value theory pp. 610-630

Mingyue Zhang Wu, Jinzhu Luo, Xing Fang, Maochao Xu and Peng Zhao

Analysis of multivariate longitudinal data using dynamic lasso-regularized copula models with application to large pediatric cardiovascular studies pp. 631-658

Wei Zhang, Colin O. Wu, Xiaoyang Ma, Xin Tian and Qizhai Li

Noise-insensitive discriminative subspace fuzzy clustering pp. 659-674

Xiaobin Zhi, Tongjun Yu, Longtao Bi and Yalan Li

Classification of histogram-valued data with support histogram machines pp. 675-690

Ilsuk Kang, Cheolwoo Park, Young Joo Yoon, Changyi Park, Soon-Sun Kwon and Hosik Choi

Identification of novel genes for triple-negative breast cancer with semiparametric gene-based analysis pp. 691-702

Xiaotong Liu, Guoliang Tian and Zhenqiu Liu

A generalized l2,p-norm regression based feature selection algorithm pp. 703-723

X. Zhi, J. Liu, S. Wu and C. Niu

Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation pp. 724-743

Yujia Cheng, Yang Li, Matthew Lee Smith, Changwei Li and Ye Shen

Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner pp. 744-760

Mi Zhou and Weixin Yao

Model-assisted estimation in high-dimensional settings for survey data pp. 761-785

Mehdi Dagdoug, Camelia Goga and David Haziza

Handling high-dimensional data with missing values by modern machine learning techniques pp. 786-804

Sixia Chen and Chao Xu

Multi-resolution super learner for voxel-wise classification of prostate cancer using multi-parametric MRI pp. 805-826

Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger and Joseph S. Koopmeiners

Volume 50, issue 2, 2023

Monitoring SEIRD model parameters using MEWMA for the COVID-19 pandemic with application to the state of Qatar pp. 231-246

Edward L. Boone, Abdel-Salam G. Abdel-Salam, Indranil Sahoo, Ryad Ghanam, Xi Chen and Aiman Hanif

A novel group VIF regression for group variable selection with application to multiple change-point detection pp. 247-263

Hao Ding, Yan Zhang and Yuehua Wu

A survival tree based on stabilized score tests for high-dimensional covariates pp. 264-290

Takeshi Emura, Wei-Chern Hsu and Wen-Chi Chou

Component selection for exponential power mixture models pp. 291-314

Xinyi Wang and Zhenghui Feng

Bayes factor testing of equality and order constraints on measures of association in social research pp. 315-351

Joris Mulder and John P. T. M. Gelissen

A first-order binomial-mixed Poisson integer-valued autoregressive model with serially dependent innovations pp. 352-369

Zezhun Chen, Angelos Dassios and George Tzougas

Identification of outlying observations for large-dimensional data pp. 370-386

Tao Wang, Xiaona Yang, Yunfei Guo and Zhonghua Li

Bayesian approaches to variable selection in mixture models with application to disease clustering pp. 387-407

Zihang Lu and Wendy Lou

Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models pp. 408-433

Yasin Altinisik

Bimodality in reentry latitude predictions for spacecraft in prograde orbits pp. 434-450

Robert A. Bettinger

Volume 50, issue 1, 2023

Testing for genetic mutation of seasonal influenza virus pp. 1-18

Vera Liu and Stephen Walker

Monitoring process mean and dispersion with one double generally weighted moving average control chart pp. 19-42

Kashinath Chatterjee, Christos Koukouvinos and Angeliki Lappa

Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis pp. 43-59

Jianghu (James) Dong, Haolun Shi, Liangliang Wang, Ying Zhang and Jiguo Cao

Elastic statistical analysis of interval-valued time series pp. 60-85

Honggang Zhang, Jingyong Su, Linlin Tang and Anuj Srivastava

Inferences for multiple interval type-I censoring scheme pp. 86-105

Shubham Agnihotri, Sanjay Kumar Singh and Umesh Singh

Testing the reliability of forecasting systems pp. 106-130

J. Bröcker

A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries pp. 131-154

Mustafa Ç. Korkmaz, Christophe Chesneau and Zehra Sedef Korkmaz

Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures pp. 155-169

Chun-Chao Wang, Yi-Ting Hwang, Chung-Chuan Chou and Hui-Ling Lee

The EWMA sign chart revisited: performance and alternatives without and with ties pp. 170-194

Theodoros Perdikis, Stelios Psarakis, Philippe Castagliola, Athanasios C. Rakitzis and Petros E. Maravelakis

Cubic rank transmuted generalized Gompertz distribution: properties and applications pp. 195-213

Caner Taniş and Buğra Saraçoğlu

A semi-parametric Bayesian approach for detection of gene expression heterosis with RNA-seq data pp. 214-230

Ran Bi and Peng Liu