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 63, issue 6, 2022
- Estimation methods for stationary Gegenbauer processes pp. 1707-1741

- Richard Hunt, Shelton Peiris and Neville Weber
- Optimality of circular equineighbored block designs under correlated observations pp. 1743-1755

- Razieh Khodsiani and Saeid Pooladsaz
- Sequential support points pp. 1757-1775

- Zikang Xiong, Wenjie Liu, Jianhui Ning and Hong Qin
- New insights on goodness-of-fit tests for ranked set samples pp. 1777-1799

- M. Mahdizadeh and Ehsan Zamanzade
- Exact prediction intervals for future exponential and Pareto lifetimes based on ordered ranked set sampling of non-random and random size pp. 1801-1827

- H. M. Barakat and Haidy A. Newer
- Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys pp. 1829-1881

- Ramón Ferri-García and María del Mar Rueda
- Subdata selection algorithm for linear model discrimination pp. 1883-1906

- Jun Yu and HaiYing Wang
- Copula-based measures of asymmetry between the lower and upper tail probabilities pp. 1907-1929

- Shogo Kato, Toshinao Yoshiba and Shinto Eguchi
- A measure of evidence based on the likelihood-ratio statistics pp. 1931-1951

- Alexandre Galvão Patriota
- Generalized log-gamma additive partial linear models with P-spline smoothing pp. 1953-1978

- Carlos A. Cardozo, Gilberto A. Paula and Luiz H. Vanegas
- Iterative restricted OK estimator in generalized linear models and the selection of tuning parameters via MSE and genetic algorithm pp. 1979-2040

- M. Revan Özkale and Atif Abbasi
- Estimation for partially linear additive regression with spatial data pp. 2041-2063

- Tang Qingguo and Chen Wenyu
- The shortest confidence interval for Poisson mean pp. 2065-2072

- Wojciech Zieliński
Volume 63, issue 5, 2022
- A goodness-of-fit test for copulas based on the collision test pp. 1369-1385

- Yiran Chen and Giray Ökten
- Information criteria bias correction for group selection pp. 1387-1414

- Bastien Marquis and Maarten Jansen
- Unified smoothed jackknife empirical likelihood tests for comparing income inequality indices pp. 1415-1475

- Yang Wei, Zhouping Li and Yunqiu Dai
- Local influence diagnostics with forward search in regression analysis pp. 1477-1497

- Reiko Aoki, Juan P. M. Bustamante and Gilberto A. Paula
- An alternative look at the linear regression model pp. 1499-1509

- Oskar Maria Baksalary and Götz Trenkler
- Statistical inference based on weighted divergence measures with simulations and applications pp. 1511-1536

- Thomas Gkelsinis, Alex Karagrigoriou and Vlad Stefan Barbu
- Circuits for robust designs pp. 1537-1560

- Roberto Fontana, Fabio Rapallo and Henry P. Wynn
- Robust modified classical spherical tests in the presence of outliers pp. 1561-1576

- Laíla Luana Campos and Daniel Furtado Ferreira
- Replication study design: confidence intervals and commentary pp. 1577-1583

- Lawrence L. Kupper and Sandra L. Martin
- The evaluation of bivariate normal probabilities for failure of parallel systems pp. 1585-1614

- Yuge Dong, Qingtong Xie, Shuguang Ding, Liangguo He and Hu Wang
- Parametric estimation of hidden Markov models by least squares type estimation and deconvolution pp. 1615-1648

- Christophe Chesneau, Salima El Kolei and Fabien Navarro
- Optimal subsampling for composite quantile regression in big data pp. 1649-1676

- Xiaohui Yuan, Yong Li, Xiaogang Dong and Tianqing Liu
- On the maximal deviation of kernel regression estimators with NMAR response variables pp. 1677-1705

- Majid Mojirsheibani
Volume 63, issue 4, 2022
- Asymptotic analysis of reliability measures for an imperfect dichotomous test pp. 995-1012

- Alla Slynko
- Tests for heteroskedasticity in transformation models pp. 1013-1049

- Marie Hušková, Simos G. Meintanis and Charl Pretorius
- Hypothesis testing in sparse weighted stochastic block model pp. 1051-1073

- Mingao Yuan, Fan Yang and Zuofeng Shang
- Quantile correlation coefficient: a new tail dependence measure pp. 1075-1104

- Ji-Eun Choi and Dong Wan Shin
- Testing high-dimensional mean vector with applications pp. 1105-1137

- Jin-Ting Zhang, Bu Zhou and Jia Guo
- Optimal subsampling for composite quantile regression model in massive data pp. 1139-1161

- Yujing Shao and Lei Wang
- Portmanteau tests for generalized integer-valued autoregressive time series models pp. 1163-1185

- Masoomeh Forughi, Zohreh Shishebor and Atefeh Zamani
- Confidence intervals with higher accuracy for short and long-memory linear processes pp. 1187-1220

- Masoud M. Nasari and Mohamedou Ould-Haye
- Properties of individual differences scaling and its interpretation pp. 1221-1245

- John C. Gower, Niël J. Le Roux and Sugnet Gardner-Lubbe
- Truncating the exponential with a uniform distribution pp. 1247-1270

- Rafael Weißbach and Dominik Wied
- Testing convexity of the generalised hazard function pp. 1271-1289

- Tommaso Lando
- Correction to: Testing convexity of the generalised hazard function pp. 1291-1293

- Tommaso Lando
- A generalized information criterion for high-dimensional PCA rank selection pp. 1295-1321

- Hung Hung, Su-Yun Huang and Ching-Kang Ing
- Real-time detection of a change-point in a linear expectile model pp. 1323-1367

- Gabriela Ciuperca
Volume 63, issue 3, 2022
- On the density for sums of independent exponential, Erlang and gamma variates pp. 693-721

- Edmond Levy
- Change point detection and estimation methods under gamma series of observations pp. 723-754

- Stergios B. Fotopoulos, Alex Paparas and Venkata K. Jandhyala
- Portmanteau test for the asymmetric power GARCH model when the power is unknown pp. 755-793

- Yacouba Boubacar Maïnassara, Othman Kadmiri and Bruno Saussereau
- Confidence intervals, prediction intervals and tolerance intervals for negative binomial distributions pp. 795-820

- Bao-Anh Dang and K. Krishnamoorthy
- A simple and useful regression model for underdispersed count data based on Bernoulli–Poisson convolution pp. 821-848

- Marcelo Bourguignon, Diego I. Gallardo and Rodrigo M. R. Medeiros
- Halfspace depth for general measures: the ray basis theorem and its consequences pp. 849-883

- Petra Laketa and Stanislav Nagy
- Maximum nonparametric kernel likelihood estimation for multiplicative linear regression models pp. 885-918

- Jun Zhang, Bingqing Lin and Yiping Yang
- Robust beta regression modeling with errors-in-variables: a Bayesian approach and numerical applications pp. 919-942

- Jorge I. Figueroa-Zúñiga, Cristian L. Bayes, Víctor Leiva and Shuangzhe Liu
- Inversion-free subsampling Newton’s method for large sample logistic regression pp. 943-963

- J. Lars Kirkby, Dang H. Nguyen, Duy Nguyen and Nhu N. Nguyen
- Non-parametric test for decreasing renewal dichotomous Markov noise shock model pp. 965-982

- Renjith Mohan, Sreelakshmi N and Sudheesh K. Kattumannil
- Bessel representation for amplitude distribution of noisy sinusoidal signals pp. 983-988

- Mikhail Trifonov
- Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan: Inferential network analysis pp. 989-990

- Alexander Kreiß
- Paola Zuccolotto and Marica Manisera (2020): Basketball Data Science: With Applications in R, CRC Press, 243 pp., £80.50 (Hardcover), ISBN: 978-1-138-60079-9 pp. 991-993

- Andreas Groll and Carsten Jentsch
Volume 63, issue 2, 2022
- Kronecker delta method for testing independence between two vectors in high-dimension pp. 343-365

- Ivair R. Silva, Yan Zhuang and Julio C. A. da Silva Junior
- Affiliation weighted networks with a differentially private degree sequence pp. 367-395

- Jing Luo, Tour Liu and Qiuping Wang
- Complete moment convergence for randomly weighted sums of extended negatively dependent random variables with application to semiparametric regression models pp. 397-419

- Nan Cheng, Chao Lu, Jibing Qi and Xuejun Wang
- Regularization and variable selection in Heckman selection model pp. 421-439

- Emmanuel O. Ogundimu
- Level-augmented uniform designs pp. 441-460

- Yan-Ping Gao, Si-Yu Yi and Yong-Dao Zhou
- Some properties of the unified skew-normal distribution pp. 461-487

- Reinaldo B. Arellano-Valle and Adelchi Azzalini
- Local linear estimation of the regression function for twice censored data pp. 489-514

- Ouafae Benrabah, Feriel Bouhadjera and Elias Ould Saïd
- Construction of column-orthogonal strong orthogonal arrays pp. 515-530

- Wenlong Li, Min-Qian Liu and Jian-Feng Yang
- On multistage experiments with restrictions in the randomization of treatments pp. 531-541

- T. I. Katsaounis
- Approximate likelihood with proxy variables for parameter estimation in high-dimensional factor copula models pp. 543-569

- Pavel Krupskii and Harry Joe
- The polar-generalized normal distribution: properties, Bayesian estimation and applications pp. 571-603

- Masoud Faridi and Majid Jafari Khaledi
- CLT for linear spectral statistics of large dimensional sample covariance matrices with dependent data pp. 605-664

- Tingting Zou, Shurong Zheng, Zhidong Bai, Jianfeng Yao and Hongtu Zhu
- Missing responses at random in functional single index model for time series data pp. 665-692

- Nengxiang Ling, Lilei Cheng, Philippe Vieu and Hui Ding
Volume 63, issue 1, 2022
- Robust estimation and shrinkage in ultrahigh dimensional expectile regression with heavy tails and variance heterogeneity pp. 1-28

- Jun Zhao, Guan’ao Yan and Yi Zhang
- On nonparametric regression for bivariate circular long-memory time series pp. 29-52

- Jan Beran, Britta Steffens and Sucharita Ghosh
- Penalized and constrained LAD estimation in fixed and high dimension pp. 53-95

- Xiaofei Wu, Rongmei Liang and Hu Yang
- Bayesian empirical likelihood inference and order shrinkage for autoregressive models pp. 97-121

- Kai Yang, Xue Ding and Xiaohui Yuan
- Optimal estimator under risk matrix in a seemingly unrelated regression model and its generalized least squares expression pp. 123-141

- Shun Matsuura and Hiroshi Kurata
- Quantifying the data-dredging bias in structural break tests pp. 143-155

- Yannick Hoga
- A simple solution to the inadequacy of asymptotic likelihood-based inference for response-adaptive clinical trials pp. 157-180

- Alessandro Baldi Antognini, Marco Novelli and Maroussa Zagoraiou
- Understanding nonsense correlation between (independent) random walks in finite samples pp. 181-195

- Uwe Hassler and Mehdi Hosseinkouchack
- Properties and generation of representative points of the exponential distribution pp. 197-223

- Long-Hao Xu, Kai-Tai Fang and Ping He
- Testing for equality of distributions using the concept of (niche) overlap pp. 225-242

- Judith H. Parkinson-Schwarz and Arne C. Bathke
- Variable selection of higher-order partially linear spatial autoregressive model with a diverging number of parameters pp. 243-285

- Tizheng Li and Xiaojuan Kang
- On change-points tests based on two-samples U-Statistics for weakly dependent observations pp. 287-316

- Joseph Ngatchou-Wandji, Echarif Elharfaoui and Michel Harel
- A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse pp. 317-342

- Zhan Liu and Chun Yip Yau
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