Statistical Papers
1997 - 2025
Current editor(s): C. Müller, W. Krämer and W.G. Müller 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 61, issue 6, 2020
- Doubly robust augmented-estimating-equations estimation with nonignorable nonresponse data pp. 2241-2270

- Tianqing Liu and Xiaohui Yuan
- Linearity tests and stochastic trend under the STAR framework pp. 2271-2282

- Lingxiang Zhang
- Sparse common component analysis for multiple high-dimensional datasets via noncentered principal component analysis pp. 2283-2311

- Heewon Park and Sadanori Konishi
- Asymptotic properties of the QMLE in a log-linear RealGARCH model with Gaussian errors pp. 2313-2330

- Caiya Zhang, Kaihong Xu and Lianfen Qian
- Consistency for wavelet estimator in nonparametric regression model with extended negatively dependent samples pp. 2331-2349

- Liwang Ding, Ping Chen and Yongming Li
- Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects pp. 2351-2381

- Bang-Qiang He, Xing-Jian Hong and Guo-Liang Fan
- Note on sample quantiles for ordinal data pp. 2383-2391

- Uwe Hassler
- Robust fuzzy clustering based on quantile autocovariances pp. 2393-2448

- B. Lafuente-Rego, P. D’Urso and J. A. Vilar
- Bayesian inference of smooth transition autoregressive (STAR)(k)–GARCH(l, m) models pp. 2449-2482

- Glen Livingston and Darfiana Nur
- Statistical inference for linear regression models with additive distortion measurement errors pp. 2483-2509

- Zhenghui Feng, Jun Zhang and Qian Chen
- Estimating a function of scale parameter of an exponential population with unknown location under general loss function pp. 2511-2527

- Lakshmi Kanta Patra, Suchandan Kayal and Somesh Kumar
- Multivariate portmanteau tests for weak multiplicative seasonal VARMA models pp. 2529-2560

- Abdoulkarim Ilmi Amir and Yacouba Boubacar Maïnassara
- A seasonal geometric INAR process based on negative binomial thinning operator pp. 2561-2581

- Shengqi Tian, Dehui Wang and Shuai Cui
- Portfolio selection: shrinking the time-varying inverse conditional covariance matrix pp. 2583-2604

- Ruili Sun, Tiefeng Ma and Shuangzhe Liu
- Randomized versus non-randomized hypergeometric hypothesis testing with crisp and fuzzy hypotheses pp. 2605-2641

- Nataliya Chukhrova and Arne Johannssen
- Finite mixtures of multivariate scale-shape mixtures of skew-normal distributions pp. 2643-2670

- Wan-Lun Wang, Ahad Jamalizadeh and Tsung-I Lin
- The asymptotic properties for the estimators of the survival function and failure rate function based on WOD samples pp. 2671-2684

- Aiting Shen, Huiling Tao and Xuejun Wang
- CLT for integrated square error of density estimators with censoring indicators missing at random pp. 2685-2714

- Yu-Ye Zou and Han-Ying Liang
- FPCA-based estimation for generalized functional partially linear models pp. 2715-2735

- Ruiyuan Cao, Jiang Du, Jianjun Zhou and Tianfa Xie
- Approximate and exact optimal designs for $$2^k$$ 2 k factorial experiments for generalized linear models via second order cone programming pp. 2737-2767

- Belmiro P. M. Duarte and Guillaume Sagnol
Volume 61, issue 5, 2020
- Robust dimension reduction using sliced inverse median regression pp. 1799-1818

- Eliana Christou
- A bivariate integer-valued bilinear autoregressive model with random coefficients pp. 1819-1840

- Predrag M. Popović and Hassan S. Bakouch
- Structure identification for varying coefficient models with measurement errors based on kernel smoothing pp. 1841-1857

- Mingqiu Wang, Peixin Zhao and Xiaoning Kang
- A comprehensive error rate for multiple testing pp. 1859-1874

- Djalel-Eddine Meskaldji, Dimitri Van De Ville, Jean-Philippe Thiran and Stephan Morgenthaler
- Maximum likelihood estimators of the parameters of the log-logistic distribution pp. 1875-1892

- Xiaofang He, Wangxue Chen and Wenshu Qian
- The non-null limiting distribution of the generalized Baumgartner statistic based on the Fourier series approximation pp. 1893-1909

- Ryo Miyazaki and Hidetoshi Murakami
- A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates pp. 1911-1937

- Hu Yang, Ning Li and Jing Yang
- Uncertainty quantification: a minimum variance unbiased (joint) estimator of the non-normalized Sobol’ indices pp. 1939-1970

- Matieyendou Lamboni
- Conditional properties of a random sample given an order statistic pp. 1971-1996

- Jafar Ahmadi and H. N. Nagaraja
- R-optimal designs for trigonometric regression models pp. 1997-2013

- Lei He and Rong-Xian Yue
- Restricted minimum volume confidence region for Pareto distribution pp. 2015-2029

- Fen Jiang, Junmei Zhou and Jin Zhang
- Multiplicative regression models with distortion measurement errors pp. 2031-2057

- Jun Zhang, Junpeng Zhu, Yan Zhou, Xia Cui and Tao Lu
- Investigating the two parameter analysis of Lipovetsky for simultaneous systems pp. 2059-2089

- Selma Toker
- Estimation within the new integrated system of household surveys in Germany pp. 2091-2117

- Saeideh Kamgar, Florian Meinfelder, Ralf Münnich and Hamidreza Navvabpour
- Sparse directed acyclic graphs incorporating the covariates pp. 2119-2148

- Xiao Guo and Hai Zhang
- Towards an uniformly most powerful binomial test pp. 2149-2156

- Sascha Wörz and Heinz Bernhardt
- On zero-inflated permutation testing and some related problems pp. 2157-2174

- Livio Finos and Fortunato Pesarin
- Nonparametric tests for independence: a review and comparative simulation study with an application to malnutrition data in India pp. 2175-2201

- Helmut Herwartz and Simone Maxand
- Construction of supersaturated split-plot designs pp. 2203-2219

- K. Chatterjee, C. Koukouvinos and K. Mylona
- When and when not to use optimal model averaging pp. 2221-2240

- Michael Schomaker and Christian Heumann
Volume 61, issue 4, 2020
- Editorial for the special issue: Change point detection pp. 1347-1349

- Georgy Sofronov, Martin Wendler and Volkmar Liebscher
- Change-point methods for multivariate time-series: paired vectorial observations pp. 1351-1383

- Zdeněk Hlávka, Marie Hušková and Simos G. Meintanis
- Changepoint in dependent and non-stationary panels pp. 1385-1407

- Matúš Maciak, Michal Pešta and Barbora Peštová
- Convergence of U-processes in Hölder spaces with application to robust detection of a changed segment pp. 1409-1435

- Alfredas Račkauskas and Martin Wendler
- Estimating change points in nonparametric time series regression models pp. 1437-1463

- Maria Mohr and Leonie Selk
- Change point detection for nonparametric regression under strongly mixing process pp. 1465-1506

- Qing Yang, Yu-Ning Li and Yi Zhang
- Multiple change point detection and validation in autoregressive time series data pp. 1507-1528

- Lijing Ma, Andrew J. Grant and Georgy Sofronov
- On the problems of sequential statistical inference for Wiener processes with delayed observations pp. 1529-1544

- Pavel V. Gapeev
- Rationalization of detection of the multiple disorders pp. 1545-1563

- Krzysztof Szajowski
- Order patterns, their variation and change points in financial time series and Brownian motion pp. 1565-1588

- Christoph Bandt
- Conditional SIRS for nonparametric and semiparametric models by marginal empirical likelihood pp. 1589-1606

- Yi Chu and Lu Lin
- An exponential inequality and its application to M estimators in multiple linear models pp. 1607-1627

- Xin Deng and Xuejun Wang
- Optimal principal points estimators of multivariate distributions of location-scale and location-scale-rotation families pp. 1629-1643

- Shun Matsuura and Thaddeus Tarpey
- Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images pp. 1645-1661

- Massimo Aria, Antonio D’Ambrosio, Carmela Iorio, Roberta Siciliano and Valentina Cozza
- Some convergence properties for partial sums of widely orthant dependent random variables and their statistical applications pp. 1663-1684

- Mengmei Xi, Rui Wang, Zhaoyang Cheng and Xuejun Wang
- Cramér’s type results for some bootstrapped U-statistics pp. 1685-1699

- Sergio Alvarez-Andrade and Salim Bouzebda
- Second-order matching prior family parametrized by sample size and matching probability pp. 1701-1717

- Toyoto Tanaka, Yoshihiro Hirose and Fumiyasu Komaki
- Model averaging estimator in ridge regression and its large sample properties pp. 1719-1739

- Shangwei Zhao, Jun Liao and Dalei Yu
- Random coefficient minification processes pp. 1741-1762

- Lengyi Han, W. John Braun and Jason Loeppky
- New lower bound for Lee discrepancy of asymmetrical factorials pp. 1763-1772

- Liuping Hu, Kashinath Chatterjee, Jiaqi Liu and Zujun Ou
- On the performance of weighted bootstrapped kernel deconvolution density estimators pp. 1773-1798

- Ali Al-Sharadqah, Majid Mojirsheibani and William Pouliot
Volume 61, issue 3, 2020
- A new general class of discrete bivariate distributions constructed by using the likelihood ratio pp. 923-944

- Hyunju Lee and Ji Hwan Cha
- Bayesian estimation of a lifetime distribution under double truncation caused by time-restricted data collection pp. 945-965

- Achim Dörre
- Efficient parameter estimation and variable selection in partial linear varying coefficient quantile regression model with longitudinal data pp. 967-995

- Kangning Wang and Xiaofei Sun
- Performance of some ridge estimators for the gamma regression model pp. 997-1026

- Muhammad Amin, Muhammad Qasim, Muhammad Amanullah and Saima Afzal
- Sharp lower bounds on expectations of gOS based on DGFR distributions pp. 1027-1042

- Mariusz Bieniek and Agnieszka Goroncy
- Lack of fit test for long memory regression models pp. 1043-1067

- Lihong Wang
- Covariance structure associated with an equality between two general ridge estimators pp. 1069-1084

- Koji Tsukuda and Hiroshi Kurata
- On intraclass structure estimation in the growth curve model pp. 1085-1106

- Veronika Kopčová and Ivan Žežula
- Single-index partially functional linear regression model pp. 1107-1123

- Ping Yu, Jiang Du and Zhongzhan Zhang
- Variable selection for spatial autoregressive models with a diverging number of parameters pp. 1125-1145

- Tianfa Xie, Ruiyuan Cao and Jiang Du
- Complete moment convergence for negatively orthant dependent random variables and its applications in statistical models pp. 1147-1180

- Xuejun Wang, Yi Wu, Shuhe Hu and Nengxiang Ling
- M-estimation of the regression function under random left truncation and functional time series model pp. 1181-1202

- Saliha Derrar, Ali Laksaci and Elias Ould Saïd
- A new approach for estimating VAR systems in the mixed-frequency case pp. 1203-1212

- Lukas Koelbl and Manfred Deistler
- Linear models for statistical shape analysis based on parametrized closed curves pp. 1213-1229

- Luis Gutiérrez, Ramsés H. Mena and Carlos Díaz-Avalos
- New lower bounds of four-level and two-level designs via two transformations pp. 1231-1243

- Hongyi Li and Hong Qin
- Variable selection in high-dimensional sparse multiresponse linear regression models pp. 1245-1267

- Shan Luo
- Stochastic restricted estimation in partially linear additive errors-in-variables models pp. 1269-1279

- Chuanhua Wei and Jin Yang
- Quantile regression for nonlinear mixed effects models: a likelihood based perspective pp. 1281-1307

- Christian E. Galarza, Luis M. Castro, Francisco Louzada and Victor H. Lachos
- Markov switching asymmetric GARCH model: stability and forecasting pp. 1309-1333

- N. Alemohammad, S. Rezakhah and S. H. Alizadeh
- Construction of simultaneous confidence bands for a percentile hyper-plane with predictor variables constrained in an ellipsoidal region pp. 1335-1346

- Sanyu Zhou, Defa Wang and Jingjing Zhu
Volume 61, issue 2, 2020
- Partial sufficient dimension reduction on additive rates model for recurrent event data with high-dimensional covariates pp. 523-541

- Xiaobing Zhao and Xian Zhou
- A matching prior based on the modified profile likelihood for the common mean in multiple log-normal distributions pp. 543-573

- Yongku Kim, Woo Dong Lee and Sang Gil Kang
- Inference on q-Weibull parameters pp. 575-593

- Xiang Jia, Saralees Nadarajah and Bo Guo
- Component-wise outlier detection methods for robustifying multivariate functional samples pp. 595-614

- Francesca Ieva and Anna Maria Paganoni
- Nonparametric kernel estimation of CVaR under $$\alpha $$α-mixing sequences pp. 615-643

- Zhongde Luo
- Bahadur intercept with applications to one-sided testing pp. 645-658

- Zeng-Hua Lu
- Mean targeting estimator for the integer-valued GARCH(1, 1) model pp. 659-679

- Qi Li and Fukang Zhu
- The distribution of unobserved heterogeneity in competing risks models pp. 681-696

- Yang Lu
- Empirical likelihood-based weighted rank regression with missing covariates pp. 697-725

- Tianqing Liu and Xiaohui Yuan
- Construction of Latin hypercube designs with nested and sliced structures pp. 727-740

- Bing Guo, Xue-Ping Chen and Min-Qian Liu
- Correlated endpoints: simulation, modeling, and extreme correlations pp. 741-766

- Sergei Leonov and Bahjat Qaqish
- On estimation of $$P\left( X > Y \right) $$PX>Y based on judgement post stratification pp. 767-785

- Ali Dastbaravarde and Ehsan Zamanzade
- Mixtures of multivariate contaminated normal regression models pp. 787-822

- Angelo Mazza and Antonio Punzo
- New foundations for designing U-optimal follow-up experiments with flexible levels pp. 823-849

- A. Elsawah and Kai-Tai Fang
- Estimation of a symmetric distribution function in multistage ranked set sampling pp. 851-867

- M. Mahdizadeh and Ehsan Zamanzade
- Ridge-type pretest and shrinkage estimations in partially linear models pp. 869-898

- Bahadır Yüzbaşı, S. Ejaz Ahmed and Dursun Aydın
- On the consistency of the P–C estimator in a nonparametric regression model pp. 899-915

- Yi Wu, Xuejun Wang and Narayanaswamy Balakrishnan
- Norman Matloff (2017): statistical regression and classification: from linear models to machine learning pp. 917-918

- Ricardo Maronna
- Dieter Rasch, Rob Verdooren and Jürgen Pilz: Applied statistics: theory and problem solutions with R pp. 919-920

- Walter Krämer
- Peter Filzmoser, Karel Hron, Matthias Templ: Applied compositional data analysis, with worked examples in R pp. 921-922

- Vera Pawlowsky-Glahn
Volume 61, issue 1, 2020
- Estimation of volatility causality in structural autoregressions with heteroskedasticity using independent component analysis pp. 1-16

- Tran Hoang Hai
- On a test of normality based on the empirical moment generating function pp. 17-29

- Norbert Henze and Stefan Koch
- Elliptical linear mixed models with a covariate subject to measurement error pp. 31-69

- Joelmir A. Borssoi, Gilberto A. Paula and Manuel Galea
- Following K. Pearson to test the general linear hypothesis pp. 71-83

- Lynn Roy LaMotte
- Geostatistical survival model with Gaussian random effect pp. 85-107

- K. Motarjem, M. Mohammadzadeh and A. Abyar
- Robust change point detection method via adaptive LAD-LASSO pp. 109-121

- Qiang Li and Liming Wang
- Goodness-of-fit tests in conditional duration models pp. 123-140

- Simos G. Meintanis, Bojana Milošević and Marko Obradović
- Block average quantile regression for massive dataset pp. 141-165

- Qifa Xu, Chao Cai, Cuixia Jiang, Fang Sun and Xue Huang
- Improved heteroskedasticity likelihood ratio tests in symmetric nonlinear regression models pp. 167-188

- Mariana C. Araújo, Audrey H. M. A. Cysneiros and Lourdes C. Montenegro
- Consistency of MLE, LSE and M-estimation under mild conditions pp. 189-199

- Jin Zhang
- Testing slope homogeneity in panel data models with a multifactor error structure pp. 201-224

- Feng Xu and Zekai He
- Model-free conditional screening via conditional distance correlation pp. 225-244

- Jun Lu and Lu Lin
- Poisson autoregressive process modeling via the penalized conditional maximum likelihood procedure pp. 245-260

- Xinyang Wang, Dehui Wang and Haixiang Zhang
- Confidence intervals for quantiles based on samples of random sizes pp. 261-277

- Jazaa S. Al-Mutairi and Mohammad Z. Raqab
- EIV regression with bounded errors in data: total ‘least squares’ with Chebyshev norm pp. 279-301

- Milan Hladík, Michal Černý and Jaromír Antoch
- Some results on the computing of Tukey’s halfspace median pp. 303-316

- Xiaohui Liu, Shihua Luo and Yijun Zuo
- Log-linear models to evaluate direction of effect in binary variables pp. 317-346

- Wolfgang Wiedermann and Alexander Eye
- Multiple mediation analysis for interval-valued data pp. 347-369

- Antonio Calcagnì, Luigi Lombardi, Lorenzo Avanzi and Eduardo Pascali
- A new method for obtaining explicit estimators in unbalanced mixed linear models pp. 371-383

- Tatjana von Rosen, Dietrich von Rosen and Julia Volaufova
- Some properties of linear sufficiency and the BLUPs in the linear mixed model pp. 385-401

- S. J. Haslett, X. Q. Liu, A. Markiewicz and S. Puntanen
- Estimation of parameters of component lifetime distribution in a coherent system pp. 403-421

- M. G. Kulkarni and M. B. Rajarshi
- kNN estimation in functional partial linear modeling pp. 423-444

- Nengxiang Ling, Germán Aneiros and Philippe Vieu
- Point and interval estimation under progressive type-I interval censoring with random removal pp. 445-477

- Sonal Budhiraja and Biswabrata Pradhan
- Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach pp. 479-501

- Takeshi Emura and Chi-Hung Pan
- Copula function for fuzzy random variables: applications in measuring association between two fuzzy random variables pp. 503-522

- Vahid Ranjbar and Gholamreza Hesamian
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