Journal of applied statistics

Keyphrases

Publications

volume 51, number 12, 2024

Jos Weusten, Ji Young Kim, Katherine Giacoletti, Jorge Vázquez, Plinio De Los Santos
A Bayesian approach for evaluating equivalence over multiple groups, and comparison with frequentist tost. Journal of applied statistics 51 (12) (2024)
Jennifer Lewis Priestley, Eric VonDohlen
Propensity score matching: a tool for consumer risk modeling and portfolio underwriting. Journal of applied statistics 51 (12) (2024)
R Nasirzadeh, H Bakouch
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients. Journal of applied statistics 51 (12) (2024)

volume 51, number 13, 2024

Grigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis
A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails. Journal of applied statistics 51 (13) (2024)
Ehsan Zamanzade, M Mahdizadeh, Hani M Samawi
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable. Journal of applied statistics 51 (13) (2024)
Atina Ahdika, Dedi Rosadi, Adhitya Ronnie Effendie, Gunardi
An improved agricultural household margin insurance scheme with insured-insurer risk protection: a time-varying copula approach. Journal of applied statistics 51 (13) (2024)
Wenwen Hu, Zujun Ou, Qiao Peng
Mixed-level designs with orthogonality and relatively optimal run order. Journal of applied statistics 51 (13) (2024)
Jan G De Gooijer
Testing nonlinearity of heavy-tailed time series. Journal of applied statistics 51 (13) (2024)
Hirofumi Michimae, Takeshi Emura, Atsushi Miyamoto, Kazuma Kishi
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models. Journal of applied statistics 51 (13) (2024)
Zhujie Gu, Hae-Won Uh, Jeanine Houwing-Duistermaat, Said El Bouhaddani
Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS. Journal of applied statistics 51 (13) (2024)
Trevor J Thomson, X Joan Hu, Bohdan Nosyk
Estimating effects of time-varying exposures on mortality risk. Journal of applied statistics 51 (13) (2024)
Peiyao Wang, Wei Ning
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood. Journal of applied statistics 51 (13) (2024)

volume 51, number 8, 2023

Chanseok Park, Xuehong Gao, Min Wang
Robust explicit estimators using the power-weighted repeated medians. Journal of applied statistics 51 (8) (2023)
Diego Hernandez Jarquin, A Roy, B Clarke, Subhashis Ghosal
Combining phenotypic and genomic data to improve prediction of binary traits. Journal of applied statistics 51 (8) (2023)
Weihua Shi, Wenhao Gui
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme. Journal of applied statistics 51 (8) (2023)
Benjamin W Langworthy, Zhaoxun Hou, Gary C Curhan, Sharon G Curhan, Molin Wang
Estimating intracluster correlation for ordinal data. Journal of applied statistics 51 (8) (2023)
Justin Petrovich, Bahaeddine Taoufik, Zachary George Davis
Instrumental variable estimation for functional concurrent regression models. Journal of applied statistics 51 (8) (2023)
Roberto Vila, Victor Serra, Mehmet Niyazi Çankaya, Felipe S Quintino
A general class of trimodal distributions: properties and inference. Journal of applied statistics 51 (8) (2023)
Jun Jin, Shuangzhe Liu, Tiefeng Ma
Robust and efficient subsampling algorithms for massive data logistic regression. Journal of applied statistics 51 (8) (2023)
Reiko Aoki, Juan P Mamani Bustamante, Cibele M Russo, Gilberto A Paula
Conformal normal curvature and detection of masked observations in multivariate null intercept measurement error models. Journal of applied statistics 51 (8) (2023)
Benjamin W Langworthy, Zhaoxun Hou, Gary C Curhan, Sharon G Curhan, Molin Wang
Estimating intracluster correlation for ordinal data. Journal of applied statistics 51 (8) (2023)
Weihua Shi, Wenhao Gui
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme. Journal of applied statistics 51 (8) (2023)
Chanseok Park, Xuehong Gao, Min Wang
Robust explicit estimators using the power-weighted repeated medians. Journal of applied statistics 51 (8) (2023)
Diego Hernandez Jarquin, A Roy, B Clarke, Subhashis Ghosal
Combining phenotypic and genomic data to improve prediction of binary traits. Journal of applied statistics 51 (8) (2023)
Roberto Vila, Victor Serra, Mehmet Niyazi Çankaya, Felipe S Quintino
A general class of trimodal distributions: properties and inference. Journal of applied statistics 51 (8) (2023)

volume 51, number 9, 2023

S Lima, Arminda Manuela Gonçalves, M Costa
Predictive accuracy of time series models applied to economic data: the European countries retail trade. Journal of applied statistics 51 (9) (2023)
Danielle Peralta, Ricardo Puziol de Oliveira, Jorge Alberto Achcar
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of applied statistics 51 (9) (2023)
Danielle Peralta, Ricardo Puziol de Oliveira, Jorge Alberto Achcar
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of applied statistics 51 (9) (2023)
S Lima, Arminda Manuela Gonçalves, M Costa
Predictive accuracy of time series models applied to economic data: the European countries retail trade. Journal of applied statistics 51 (9) (2023)
Yantao Cai, Liu Liu, Zhonghua Li
Modelling and monitoring social network change based on exponential random graph models. Journal of applied statistics 51 (9) (2023)
Dianliang Deng, Xiaoqing Zhang
A Lindley-binomial model for analyzing the proportions with sparseness and excessive zeros. Journal of applied statistics 51 (9) (2023)
Roberto Vila, Narayanaswamy Balakrishnan, Helton Saulo, Peter Zörnig
Family of bivariate distributions on the unit square: theoretical properties and applications. Journal of applied statistics 51 (9) (2023)
S Lima, Arminda Manuela Gonçalves, M Costa
Predictive accuracy of time series models applied to economic data: the European countries retail trade. Journal of applied statistics 51 (9) (2023)
Valdemiro P Vigas, Edwin Moises Marcos Ortega, Adriano K Suzuki, Gauss Moutinho Cordeiro, Paulo C Dos Santos Junior
The generalized odd log-logistic-G regression with interval-censored survival data. Journal of applied statistics 51 (9) (2023)
Tamalika Koley, Anup Dewanji
Current status data with two competing risks and time-dependent missing failure types. Journal of applied statistics 51 (9) (2023)
Dianliang Deng, Xiaoqing Zhang
A Lindley-binomial model for analyzing the proportions with sparseness and excessive zeros. Journal of applied statistics 51 (9) (2023)
Valdemiro P Vigas, Edwin Moises Marcos Ortega, Adriano K Suzuki, Gauss Moutinho Cordeiro, Paulo C Dos Santos Junior
The generalized odd log-logistic-G regression with interval-censored survival data. Journal of applied statistics 51 (9) (2023)
Mazen Nassar, Ahmed Elshahhat
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution. Journal of applied statistics 51 (9) (2023)
Yawen Fan, Xiaohui Liu, Ting Luo, Yao Rao, Hanqing Li
Testing serial correlation in a general d -factor model with possible infinite variance. Journal of applied statistics 51 (9) (2023)
Roberto Vila, Narayanaswamy Balakrishnan, Helton Saulo, Peter Zörnig
Family of bivariate distributions on the unit square: theoretical properties and applications. Journal of applied statistics 51 (9) (2023)
Dianliang Deng, Xiaoqing Zhang
A Lindley-binomial model for analyzing the proportions with sparseness and excessive zeros. Journal of applied statistics 51 (9) (2023)
Armin Rauschenberger, Enrico Glaab
Predicting dichotomised outcomes from high-dimensional data in biomedicine. Journal of applied statistics 51 (9) (2023)
Valdemiro P Vigas, Edwin Moises Marcos Ortega, Adriano K Suzuki, Gauss Moutinho Cordeiro, Paulo C Dos Santos Junior
The generalized odd log-logistic-G regression with interval-censored survival data. Journal of applied statistics 51 (9) (2023)
Mazen Nassar, Ahmed Elshahhat
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution. Journal of applied statistics 51 (9) (2023)
Yantao Cai, Liu Liu, Zhonghua Li
Modelling and monitoring social network change based on exponential random graph models. Journal of applied statistics 51 (9) (2023)
Armin Rauschenberger, Enrico Glaab
Predicting dichotomised outcomes from high-dimensional data in biomedicine. Journal of applied statistics 51 (9) (2023)
Tamalika Koley, Anup Dewanji
Current status data with two competing risks and time-dependent missing failure types. Journal of applied statistics 51 (9) (2023)
Tamalika Koley, Anup Dewanji
Current status data with two competing risks and time-dependent missing failure types. Journal of applied statistics 51 (9) (2023)
Danielle Peralta, Ricardo Puziol de Oliveira, Jorge Alberto Achcar
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme. Journal of applied statistics 51 (9) (2023)
Yantao Cai, Liu Liu, Zhonghua Li
Modelling and monitoring social network change based on exponential random graph models. Journal of applied statistics 51 (9) (2023)