Journal of Applied Statistics
1997 - 2022
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 49, issue 7, 2022
- A new flexible generalized family for constructing many families of distributions pp. 1615-1635

- M. H. Tahir, M. Adnan Hussain and Gauss M. Cordeiro
- Rapid detection of hot-spots via tensor decomposition with applications to crime rate data pp. 1636-1662

- Yujie Zhao, Hao Yan, Sarah Holte and Yajun Mei
- A robust estimation method for the linear regression model parameters with correlated error terms and outliers pp. 1663-1676

- Sajjad Piradl, Ali Shadrokh and Masoud Yarmohammadi
- Testing differentially methylated regions through functional principal component analysis pp. 1677-1691

- Mohamed Milad and Gayla R. Olbricht
- Bayesian selector of adaptive bandwidth for multivariate gamma kernel estimator on [0,∞ )d pp. 1692-1713

- Sobom M. Somé and Célestin C. Kokonendji
- Multivariate nonparametric methods in two-way balanced designs: performances and limitations in small samples pp. 1714-1741

- Fabrizio Ronchi, Solomon W. Harrar and Luigi Salmaso
- Analysis of mixed correlated overdispersed binomial and ordinal longitudinal responses: LogLindley-Binomial and ordinal random effects model pp. 1742-1768

- Seyede Sedighe Azimi, Ehsan Bahrami Samani and Mojtaba Ganjali
- Current status data with two competing risks and missing failure types: a parametric approach pp. 1769-1783

- Tamalika Koley and Anup Dewanji
- Cause-specific hazard regression estimation for modified Weibull distribution under a class of non-informative priors pp. 1784-1801

- H. Rehman, N. Chandra, Fatemeh Sadat Hosseini-Baharanchi, Ahmad Reza Baghestani and Mohamad Amin Pourhoseingholi
- Competing risks model for clustered data based on the subdistribution hazards with spatial random effects pp. 1802-1820

- Somayeh Momenyan, Farzane Ahmadi and Jalal Poorolajal
- Modelling and monitoring of INAR(1) process with geometrically inflated Poisson innovations pp. 1821-1847

- Cong Li, Haixiang Zhang and Dehui Wang
- On correlation rank screening for ultra-high dimensional competing risks data pp. 1848-1864

- Xiaolin Chen, Chenguang Li, Tao Zhang and Zhenlong Gao
- Shape-constrained Gaussian process regression for surface reconstruction and multimodal, non-rigid image registration pp. 1865-1889

- Thomas Deregnaucourt, Chafik Samir, Sebastian Kurtek and Anne-Francoise Yao
- How many people participated in candlelight protests? Counting the size of a dynamic crowd pp. 1890-1899

- Seonghun Cho, Johan Lim and Woncheol Jang
- Dynamic factor structure of team performances in Liga MX pp. 1900-1912

- Francisco Corona, Nelson Muriel and Graciela González-Farías
Volume 49, issue 6, 2022
- High precision implementation of Steck's recursion method for use in goodness-of-fit tests pp. 1348-1363

- Jiefei Wang and Jeffrey C. Miecznikowski
- Sequential asymmetric third order rotatable designs (SATORDs) pp. 1364-1381

- M. Hemavathi, Eldho Varghese, Shashi Shekhar and Seema Jaggi
- Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk pp. 1382-1401

- Parfait Munezero and Gebrenegus Ghilagaber
- Analyzing partially paired data: when can the unpaired portion(s) be safely ignored? pp. 1402-1420

- Qianya Qi, Li Yan and Lili Tian
- Bayesian hierarchical models for linear networks pp. 1421-1448

- Zainab Al-kaabawi, Yinghui Wei and Rana Moyeed
- Directional monitoring and diagnosis for covariance matrices pp. 1449-1464

- Hongying Jing, Jian Li and Kaizong Bai
- Adaptive kernel scaling support vector machine with application to a prostate cancer image study pp. 1465-1484

- Xin Liu and Wenqing He
- A nonlinear measurement error model and its application to describing the dependency of health outcomes on dietary intake pp. 1485-1518

- B. Curley
- Streaming constrained binary logistic regression with online standardized data pp. 1519-1539

- Benoît Lalloué, Jean-Marie Monnez and Eliane Albuisson
- The optimized CUSUM and EWMA multi-charts for jointly detecting a range of mean and variance change pp. 1540-1558

- Gideon Mensah Engmann and Dong Han
- Penalized likelihood approach for the four-parameter kappa distribution pp. 1559-1573

- Nipada Papukdee, Jeong-Soo Park and Piyapatr Busababodhin
- The process of transferring negative impulses in capital markets – a wavelet analysis pp. 1574-1597

- Milda Maria Burzala
- Risk analysis in the brazilian stock market: copula-APARCH modeling for value-at-risk pp. 1598-1610

- Marcela de Marillac Carvalho and Thelma Sáfadi
- Correction Notice pp. 1611-1611

- The Editors
- Correction Notice pp. 1612-1614

- The Editors
Volume 49, issue 5, 2022
- Stress–strength reliability estimation involving paired observation with ties using bivariate exponentiated half-logistic model pp. 1049-1064

- Thomas Xavier and Joby K. Jose
- Quantification of model risk that is caused by model misspecification pp. 1065-1085

- M.B. Seitshiro and H.P. Mashele
- Optimal designing of two-level skip-lot sampling reinspection plan pp. 1086-1104

- N. Murugeswari, P. Jeyadurga and S. Balamurali
- Structured sparse support vector machine with ordered features pp. 1105-1120

- Kuangnan Fang, Peng Wang, Xiaochen Zhang and Qingzhao Zhang
- Testing and dating structural changes in copula-based dependence measures pp. 1121-1139

- Florian Stark and Sven Otto
- Variational Bayesian inference for association over phylogenetic trees for microorganisms pp. 1140-1153

- Xiaojuan Hao, Kent M. Eskridge and Dong Wang
- Ultrahigh-dimensional sufficient dimension reduction for censored data with measurement error in covariates pp. 1154-1178

- Li-Pang Chen
- Robust bootstrap prediction intervals for univariate and multivariate autoregressive time series models pp. 1179-1202

- Ufuk Beyaztas and Han Lin Shang
- MAP segmentation in Bayesian hidden Markov models: a case study pp. 1203-1234

- Alexey Koloydenko, Kristi Kuljus and Jüri Lember
- Analyzing the impacts of socio-economic factors on French departmental elections with CoDa methods pp. 1235-1251

- T. H. A. Nguyen, T. Laurent, C. Thomas-Agnan and A. Ruiz-Gazen
- Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis pp. 1252-1276

- Maria Ioneris Oliveira, Michelli Barros, Joelson Campos and Francisco José A. Cysneiros
- A review of tests for exponentiality with Monte Carlo comparisons pp. 1277-1304

- Everestus O. Ossai, Mbanefo S. Madukaife and Abimibola V. Oladugba
- A Bayesian approach on the two-piece scale mixtures of normal homoscedastic nonlinear regression models pp. 1305-1322

- Zahra Barkhordar, Mohsen Maleki, Zahra Khodadadi, Darren Wraith and Farajollah Negahdari
- Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic pp. 1323-1347

- Yonghui Liu, Chaoxuan Mao, Víctor Leiva, Shuangzhe Liu and Waldemiro A. Silva Neto
Volume 49, issue 4, 2022
- Testing exponentiality based on the extropy of record values pp. 782-802

- Peihan Xiong, Weiwei Zhuang and Guoxin Qiu
- Efficient estimators with categorical ranked set samples: estimation procedures for osteoporosis pp. 803-818

- Armin Hatefi and Amirhossein Alvandi
- On the rank-deficient canonical correlation technique solved by analytic spectral decomposition pp. 819-830

- Lukáš Malec
- Modeling the effects of multiple exposures with unknown group memberships: a Bayesian latent variable approach pp. 831-857

- Alexis Zavez, Emeir M. McSorley, Alison J. Yeates and Sally W. Thurston
- Statistical modeling of computer malware propagation dynamics in cyberspace pp. 858-883

- Zijian Fang, Peng Zhao, Maochao Xu, Shouhuai Xu, Taizhong Hu and Xing Fang
- A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data pp. 884-901

- George O. Agogo and Alexander K. Muoka
- Robust estimation of models for longitudinal data with dropouts and outliers pp. 902-925

- Yuexia Zhang, Guoyou Qin, Zhongyi Zhu and Bo Fu
- Bayesian inference: Weibull Poisson model for censored data using the expectation–maximization algorithm and its application to bladder cancer data pp. 926-948

- Anurag Pathak, Manoj Kumar, Sanjay Kumar Singh and Umesh Singh
- Bayesian analyses of an exponential-Poisson and related zero augmented type models pp. 949-967

- David P. M. Scollnik
- Optimal partitioning for the proportional hazards model pp. 968-987

- Usha Govindarajulu and Thaddeus Tarpey
- Revisit to functional data analysis of sleeping energy expenditure pp. 988-1002

- Seungchul Baek, Yewon Kim, Junyong Park and Jong Soo Lee
- A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in Turkey pp. 1003-1017

- Hande Konşuk Ünlü, Derek S. Young, Ayten Yiğiter and L. Hilal Özcebe
- Migration and students' performance: detecting geographical differences following a curves clustering approach pp. 1018-1032

- Giovanni Boscaino, Gianluca Sottile and Giada Adelfio
- Nonparametric panel stationarity testing with an application to crude oil production pp. 1033-1048

- María José Presno, Manuel Landajo and Paula Fernandez-Gonzalez
Volume 49, issue 3, 2022
- A semi-analytical solution to the maximum-likelihood fit of Poisson data to a linear model using the Cash statistic pp. 522-552

- Massimiliano Bonamente and David Spence
- EWMA control charts for monitoring correlated counts with finite range pp. 553-573

- Maria Anastasopoulou and Athanasios C. Rakitzis
- Regularized robust estimation in binary regression models pp. 574-598

- Qingguo Tang, Rohana J. Karunamuni and Boxiao Liu
- Goodness-of-fit test for exponentiality based on spacings for general progressive Type-II censored data pp. 599-620

- Xinyan Qin, Jiao Yu and Wenhao Gui
- A non-parametric Hawkes model of the spread of Ebola in west Africa pp. 621-637

- Junhyung Park, Adam W. Chaffee, Ryan J. Harrigan and Frederic Paik Schoenberg
- A Bayesian shared parameter model for joint modeling of longitudinal continuous and binary outcomes pp. 638-655

- T. Baghfalaki, M. Ganjali, A. Kabir and A. Pazouki
- Survival analysis for the inverse Gaussian distribution with the Gibbs sampler pp. 656-675

- Kalanka. P. Jayalath and Raj S. Chhikara
- Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systems pp. 676-693

- T. Senga Kiessé, Etienne Rivot, Christophe Jaeger and Joël Aubin
- A proportional-hazards model for survival analysis and long-term survivors modeling: application to amyotrophic lateral sclerosis data pp. 694-708

- Tasnime Hamdeni and Soufiane Gasmi
- On a generalization of the test of endogeneity in a two stage least squares estimation pp. 709-721

- Ayyub Sheikhi, Fatemeh Bahador and Mohammad Arashi
- A new selection criterion for statistical home range estimation pp. 722-737

- A. Baíllo and J. E. Chacón
- Regional source apportionment of PM2.5 in Seoul using Bayesian multivariate receptor model pp. 738-751

- Man-Suk Oh and Chee Kyung Park
- The GLM framework of the Lee–Carter model: a multi-country study pp. 752-763

- Shafiqah Azman and Dharini Pathmanathan
- A statistical methodology to select covariates in high-dimensional data under dependence. Application to the classification of genetic profiles in oncology pp. 764-781

- B. Bastien, T. Boukhobza, H. Dumond, A. Gégout-Petit, A. Muller-Gueudin and C. Thiébaut
Volume 49, issue 2, 2022
- Robust analogs to the coefficient of variation pp. 268-290

- Chandima N. P. G. Arachchige, Luke A. Prendergast and Robert G. Staudte
- Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis pp. 291-316

- C. Manté, S. Cornu, D. Borschneck, C. Mocuta and R. van den Bogaert
- Kalman filtering with censored measurements pp. 317-335

- Kostas Loumponias and George Tsaklidis
- Bayesian generalizations of the integer-valued autoregressive model pp. 336-356

- Paulo C. Marques F., Helton Graziadei and Hedibert F. Lopes
- Bayesian estimation of extropy and goodness of fit tests pp. 357-370

- Luai Al-Labadi and Sean Berry
- Exponentiated Teissier distribution with increasing, decreasing and bathtub hazard functions pp. 371-393

- Vikas Kumar Sharma, Sudhanshu V. Singh and Komal Shekhawat
- Predictive analysis for joint progressive censoring plans: a Bayesian approach pp. 394-410

- Mohammad Vali Ahmadi and Mahdi Doostparast
- Feature selection based on distance correlation: a filter algorithm pp. 411-426

- Hongwei Tan, Guodong Wang, Wendong Wang and Zili Zhang
- Two multivariate online change detection models pp. 427-448

- Lingzhe Guo and Reza Modarres
- Modeling population and subject-specific growth in a latent trait measured by multiple instruments over time using a hierarchical Bayesian framework pp. 449-465

- Caitlin Ward, Jacob Oleson, J. Bruce Tomblin and Elizabeth Walker
- Quantifying treatment differences in confirmatory trials under non-proportional hazards pp. 466-484

- José L. Jiménez
- A surrogate model for estimating extreme tower loads on wind turbines based on random forest proximities pp. 485-497

- Mikkel Slot Nielsen and Victor Rohde
- Time-varying coefficient cumulative gap time models for intensive longitudinal ecological momentary assessment data with missingness pp. 498-521

- Xiaoxue Li, Stewart J. Anderson, Saul Shiffman and Bo Zhang
Volume 49, issue 1, 2022
- Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset pp. 1-23

- Cindy Feng
- Extensions of empirical likelihood and chi-squared-based tests for ordered alternatives pp. 24-43

- M. Carmen Pardo, Ying Lu and Alba M. Franco-Pereira
- Combination of multiple functional markers to improve diagnostic accuracy pp. 44-63

- Haiqiang Ma, Jin Yang, Sheng Xu, Chao Liu and Qinyi Zhang
- Conservative confidence intervals on multiple correlation coefficient for high-dimensional elliptical data using random projection methodology pp. 64-85

- Dariush Najarzadeh
- Exact unconditional inference for analyzing contingency tables in finite populations pp. 86-97

- Shiva S. Dibaj, Alan D. Hutson, Graham W. Warren and Gregory E. Wilding
- MulticlusterKDE: a new algorithm for clustering based on multivariate kernel density estimation pp. 98-121

- D. Scaldelai, L. C. Matioli, S. R. Santos and M. Kleina
- Reliability analysis of multicomponent stress–strength reliability from a bathtub-shaped distribution pp. 122-142

- Liang Wang, Ke Wu, Yogesh Mani Tripathi and Chandrakant Lodhi
- Small area estimation of expenditure means and ratios under a unit-level bivariate linear mixed model pp. 143-168

- María Dolores Esteban, María José Lombardía, Esther López-Vizcaíno, Domingo Morales and Agustín Pérez
- Estimation of parameters of inverse Weibull distribution and application to multi-component stress-strength model pp. 169-194

- Nabakumar Jana and Samadrita Bera
- Joint regression modeling of location and scale parameters of the skew t distribution with application in soil chemistry data pp. 195-213

- F. Prataviera, A. M. Batista, P. L. Libardi, G. M. Cordeiro and E. M. M. Ortega
- A model-based approach to Spotify data analysis: a Beta GLMM pp. 214-229

- Mariangela Sciandra and Irene Carola Spera
- Scalable module detection for attributed networks with applications to breast cancer pp. 230-247

- Han Yu and Rachael Hageman Blair
- The semiparametric regression model for bimodal data with different penalized smoothers applied to climatology, ethanol and air quality data pp. 248-267

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