Metrika: International Journal for Theoretical and Applied Statistics
1958 - 2025
Current editor(s): U. Kamps and Norbert Henze From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 86, issue 8, 2023
- Data based loss estimation of the mean of a spherical distribution with a residual vector pp. 851-878

- Stéphane Canu and Dominique Fourdrinier
- V-optimality of designs in random effects Poisson regression models pp. 879-897

- Mehrdad Niaparast, Sahar MehrMansour and Rainer Schwabe
- Robust nonparametric equivariant regression for functional data with responses missing at random pp. 899-929

- Omar Fetitah, Mohammed Kadi Attouch, Salah Khardani and Ali Righi
- On bivariate threshold Poisson integer-valued autoregressive processes pp. 931-963

- Kai Yang, Yiwei Zhao, Han Li and Dehui Wang
- A new estimation in functional linear concurrent model with covariate dependent and noise contamination pp. 965-989

- Hui Ding, Mei Yao and Riquan Zhang
Volume 86, issue 7, 2023
- Bahadur efficiency for certain goodness-of-fit tests based on the empirical characteristic function pp. 723-751

- Simos Meintanis, Bojana Milošević and Marko Obradović
- Characterization of three-order confounding via consulting sets pp. 753-779

- Chongya Yan, Zhiming Li and Mingyao Ai
- Robust optimal designs using a model misspecification term pp. 781-804

- Renata Eirini Tsirpitzi, Frank Miller and Carl-Fredrik Burman
- A covariate-driven beta-binomial integer-valued GARCH model for bounded counts with an application pp. 805-826

- Huaping Chen, Qi Li and Fukang Zhu
- A refined continuity correction for the negative binomial distribution and asymptotics of the median pp. 827-849

- Frédéric Ouimet
Volume 86, issue 6, 2023
- A new light on reliability equivalence factors pp. 605-625

- Jalal Etminan, Mohammad Khanjari Sadegh and Majid Chahkandi
- A novel sequential approach to estimate functions of parameters of two gamma populations pp. 627-641

- Sudeep R. Bapat
- Adaptive inference for small diffusion processes based on sampled data pp. 643-696

- Tetsuya Kawai and Masayuki Uchida
- Standardized maximin D- and c-optimal designs for the Poisson–Gamma model pp. 697-721

- Marius Schmidt
Volume 86, issue 5, 2023
- On some stochastic comparisons of arithmetic and geometric mixture models pp. 499-515

- Omid Shojaee and Manoochehr Babanezhad
- A semiparametric multiply robust multiple imputation method for causal inference pp. 517-542

- Benjamin Gochanour, Sixia Chen, Laura Beebe and David Haziza
- Predicting future failure times by using quantile regression pp. 543-576

- Jorge Navarro and Francesco Buono
- Design efficiency for minimum projection uniform designs with q levels pp. 577-594

- Qiming Bai, Hongyi Li, Xingyou Huang and Huili Xue
- Functional single-index composite quantile regression pp. 595-603

- Zhiqiang Jiang, Zhensheng Huang and Jing Zhang
Volume 86, issue 4, 2023
- A constrained maximum likelihood estimation for skew normal mixtures pp. 391-419

- Libin Jin, Sung Nok Chiu, Jianhua Zhao and Lixing Zhu
- Robust regression against heavy heterogeneous contamination pp. 421-442

- Takayuki Kawashima and Hironori Fujisawa
- Nonparametric tests in linear model with autoregressive errors pp. 443-453

- Jana Jurečková, Olcay Arslan, Yeşim Güney, Jan Picek, Martin Schindler and Yetkin Tuaç
- Communication-efficient distributed estimation for high-dimensional large-scale linear regression pp. 455-485

- Zhan Liu, Xiaoluo Zhao and Yingli Pan
- A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data pp. 487-497

- James H. McVittie, David B. Wolfson and David A. Stephens
Volume 86, issue 3, 2023
- Communication-efficient sparse composite quantile regression for distributed data pp. 261-283

- Yaohong Yang and Lei Wang
- Bayesian empirical likelihood of quantile regression with missing observations pp. 285-313

- Chang-Sheng Liu and Han-Ying Liang
- The effect of intraday periodicity on realized volatility measures pp. 315-342

- Holger Dette, Vasyl Golosnoy and Janosch Kellermann
- On the consistency of mode estimate for spatially dependent data pp. 343-372

- Ahmad Younso
- Fractional factorial designs for Fourier-cosine models pp. 373-390

- Lin Wang, Hongquan Xu and Min-Qian Liu
Volume 86, issue 2, 2023
- Empirical likelihood based tests for detecting the presence of significant predictors in marginal quantile regression pp. 149-179

- Songqiao Tang, Huiyu Wang, Guanao Yan and Lixin Zhang
- Penalized maximum likelihood estimator for mixture of von Mises–Fisher distributions pp. 181-203

- Tin Lok James Ng
- On conditional residual lifetimes of coherent systems consisting of components with discrete lifetimes pp. 205-218

- Krzysztof Jasiński
- A-optimal designs for non-parametric symmetrical global sensitivity analysis pp. 219-237

- Xueping Chen, Yujie Gai and Xiaodi Wang
- Lower-order confounding information of inverse Yates-order designs with three levels pp. 239-259

- Zhiyun Huang, Zhiming Li, Ge Zhang and Tao Chen
Volume 86, issue 1, 2023
- Lasso regression in sparse linear model with $$\varphi $$ φ -mixing errors pp. 1-26

- Ling Peng, Yan Zhu and Wenxuan Zhong
- An analog of Bickel–Rosenblatt test for fitting an error density in the two phase linear regression model pp. 27-56

- Fuxia Cheng and Hira L. Koul
- Some reliability measures and maintenance policies for a coherent system composed of different types of components pp. 57-82

- Maryam Kelkinnama and Serkan Eryilmaz
- A note on the discretization of natural exponential families on the real line pp. 83-90

- Shaul K. Bar-Lev and Gérard Letac
- A general multivariate lifetime model with a multivariate additive process as conditional hazard rate increment process pp. 91-129

- Sophie Mercier and Carmen Sangüesa
- HR and RHR orderings of generalized order statistics pp. 131-148

- Maryam Esna-Ashari, Narayanaswamy Balakrishnan and Mahdi Alimohammadi
Volume 85, issue 8, 2022
- Non asymptotic expansions of the MME in the case of Poisson observations pp. 927-950

- O. V. Chernoyarov, A. S. Dabye, F. N. Diop and Y. A. Kutoyants
- Consistency of the MLE under a two-parameter Gamma mixture model with a structural shape parameter pp. 951-975

- Mingxing He and Jiahua Chen
- Distribution-free specification test for volatility function based on high-frequency data with microstructure noise pp. 977-1022

- Yinfen Tang, Tao Su and Zhiyuan Zhang
- Bayesian estimation for an item response tree model for nonresponse modeling pp. 1023-1047

- Yu-Wei Chang and Jyun-Ye Tu
- Universally optimal balanced block designs for interference model pp. 1049-1061

- Akram Fakhari-Esferizi and Saeid Pooladsaz
Volume 85, issue 7, 2022
- Estimating a gradual parameter change in an AR(1)-process pp. 771-808

- Marie Hušková, Zuzana Prášková and Josef G. Steinebach
- A note on the coverage behaviour of bootstrap percentile confidence intervals for constrained parameters pp. 809-831

- Chunlin Wang, Paul Marriott and Pengfei Li
- Prediction of future censored lifetimes from mixture exponential distribution pp. 833-857

- Omar M. Bdair and Mohammad Z. Raqab
- Asymptotic Z and chi-squared tests with auxiliary information pp. 859-883

- Mickael Albertus
- Statistical analysis of the non-ergodic fractional Ornstein–Uhlenbeck process with periodic mean pp. 885-911

- Rachid Belfadli, Khalifa Es-Sebaiy and Fatima-Ezzahra Farah
- An extension of the Gumbel–Barnett family of copulas pp. 913-926

- Walter Diaz and Carles M. Cuadras
Volume 85, issue 6, 2022
- Construction of group strong orthogonal arrays of strength two plus pp. 657-674

- Mengmeng Liu, Min-Qian Liu and Jinyu Yang
- Prediction of record values by using quantile regression curves and distortion functions pp. 675-706

- Jorge Navarro
- Robust covariance estimation for distributed principal component analysis pp. 707-732

- Kangqiang Li, Han Bao and Lixin Zhang
- Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables pp. 733-752

- Camilla Calì, Maria Longobardi, Claudio Macci and Barbara Pacchiarotti
- Construction of uniform mixed-level designs through level permutations pp. 753-770

- Bochuan Jiang, Fei Wang and Yaping Wang
Volume 85, issue 5, 2022
- Mixed two- and four-level split-plot designs with combined minimum aberration pp. 537-555

- Zhaohui Yan and Shengli Zhao
- A high-dimensional test on linear hypothesis of means under a low-dimensional factor model pp. 557-572

- Mingxiang Cao and Yuanjing He
- Weak runs in sequences of binary trials pp. 573-603

- Spiros D. Dafnis and Frosso S. Makri
- Rank-based test for slope homogeneity in high-dimensional panel data models pp. 605-626

- Yanling Ding, Binghui Liu, Ping Zhao and Long Feng
- Expectile regression for spatial functional data analysis (sFDA) pp. 627-655

- Mustapha Rachdi, Ali Laksaci and Noriah M. Al-Kandari
Volume 85, issue 4, 2022
- Asymptotically optimal maximin distance Latin hypercube designs pp. 405-418

- Tonghui Pang, Yan Wang and Jian-Feng Yang
- The quarter median pp. 419-458

- Ludwig Baringhaus and Rudolf Grübel
- $$\ell _2$$ ℓ 2 -penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency pp. 459-489

- Joscha Krause, Jan Pablo Burgard and Domingo Morales
- Most powerful test sequences with early stopping options pp. 491-513

- Sergey Tarima and Nancy Flournoy
- Bayesian predictive density estimation with parametric constraints for the exponential distribution with unknown location pp. 515-536

- Yasuyuki Hamura and Tatsuya Kubokawa
Volume 85, issue 3, 2022
- Kernel based estimation of the distribution function for length biased data pp. 269-287

- Arup Bose and Santanu Dutta
- Nonparametric estimation of cumulative distribution function from noisy data in the presence of Berkson and classical errors pp. 289-322

- Cao Xuan Phuong, Le Thi Hong Thuy and Vo Nguyen Tuyet Doan
- Estimation of conditional distribution functions from data with additional errors applied to shape optimization pp. 323-343

- Matthias Hansmann, Benjamin M. Horn, Michael Kohler and Stefan Ulbrich
- The mixture design threshold accepting algorithm for generating $$\varvec{D}$$ D -optimal designs of the mixture models pp. 345-371

- Haoyu Wang and Chongqi Zhang
- Poisson QMLE for change-point detection in general integer-valued time series models pp. 373-403

- Mamadou Lamine Diop and William Kengne
Volume 85, issue 2, 2022
- Detecting multiple generalized change-points by isolating single ones pp. 141-174

- Andreas Anastasiou and Piotr Fryzlewicz
- Estimation for partially varying-coefficient single-index models with distorted measurement errors pp. 175-201

- Zhensheng Huang, Xing Sun and Riquan Zhang
- Minimax robust designs for regression models with heteroscedastic errors pp. 203-222

- Kai Yzenbrandt and Julie Zhou
- Generalized partial linear models with nonignorable dropouts pp. 223-252

- Yujing Shao and Lei Wang
- D-optimal joint best linear unbiased prediction of order statistics pp. 253-267

- Narayanaswamy Balakrishnan and Ritwik Bhattacharya
Volume 85, issue 1, 2022
- High-dimensional quantile varying-coefficient models with dimension reduction pp. 1-19

- Weihua Zhao, Rui Li and Heng Lian
- High-dimensional inference for linear model with correlated errors pp. 21-52

- Panxu Yuan and Xiao Guo
- $$I_L$$ I L -optimal designs for regression models under the second-order least squares estimator pp. 53-66

- Lei He and Rong-Xian Yue
- On a stochastic order induced by an extension of Panjer’s family of discrete distributions pp. 67-91

- Aleksandr Beknazaryan and Peter Adamic
- Quasi-maximum likelihood estimation of short panel data models with time-varying individual effects pp. 93-114

- Yan Sun and Wei Huang
- On estimating common mean of several inverse Gaussian distributions pp. 115-139

- Samadrita Bera and Nabakumar Jana
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