Statistica Neerlandica
1946 - 2025
Current editor(s): Miroslav Ristic, Marijtje van Duijn and Nan van Geloven From Netherlands Society for Statistics and Operations Research Bibliographic data for series maintained by Wiley Content Delivery (). Access Statistics for this journal.
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Volume 77, issue 4, 2023
- New article types in Statistica Neerlandica pp. 406-407

- Ernst‐Jan Camiel Wit
- A partial posterior p value test for multilevel mediation pp. 408-428

- Kyle Cox and Benjamin Kelcey
- Logistic or not Logistic? pp. 429-443

- James S. Allison, Bruno Ebner and Marius Smuts
- A robust mixed‐effects parametric quantile regression model for continuous proportions: Quantifying the constraints to vitality in cushion plants pp. 444-470

- Divan A. Burger, Sean van der Merwe, Emmanuel Lesaffre, Peter C. le Roux and Morgan J. Raath‐Krüger
- Estimating function method for nonnegative autoregressive models pp. 471-496

- E. Hari Prasad and N. Balakrishna
- Stochastic comparisons of largest claim amounts from heterogeneous portfolios pp. 497-515

- Pradip Kundu, Amarjit Kundu and Biplab Hawlader
- Analysis of cross‐over experiments with count data in the presence of carry‐over effects pp. 516-542

- Nelson Alirio Cruz, Luis Alberto López Pérez and Oscar Orlando Melo
- The optimal input‐independent baseline for binary classification: The Dutch Draw pp. 543-554

- Joris Pries, Etienne van de Bijl, Jan Klein, Sandjai Bhulai and Rob van der Mei
- New closed‐form efficient estimator for multivariate gamma distribution pp. 555-572

- Yu‐Hyeong Jang, Jun Zhao, Hyoung‐Moon Kim, Kyusang Yu, Sunghoon Kwon and SungHwan Kim
- Assessing replicability with the sceptical p$$ p $$‐value: Type‐I error control and sample size planning pp. 573-591

- Charlotte Micheloud, Fadoua Balabdaoui and Leonhard Held
- Editorial statistics pp. 592-592

- Edwin van den Heuvel, Veronica Vinciotti and Ernst‐Jan Camiel Wit
Volume 77, issue 3, 2023
- Editorial pp. 252-253

- Ernst C. Wit
- Asymptotic properties of nonparametric quantile estimation with spatial dependency pp. 254-283

- S.‐H. Arnaud Kanga, Ouagnina Hili, Sophie Dabo‐Niang and Assi N'Guessan
- Discretized skew‐t mixture model for deconvoluting liquid chromatograph mass spectrometry data pp. 284-303

- Xuwen Zhu and Xiang Zhang
- Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data pp. 304-321

- Pei Wang, Erin L. Abner, Changrui Liu, David W. Fardo, Frederick A. Schmitt, Gregory A. Jicha, Linda J. Van Eldik and Richard J. Kryscio
- Inference in the presence of likelihood monotonicity for proportional hazards regression pp. 322-339

- John E. Kolassa and Juan Zhang
- Testing the common risk difference of proportions for stratified uni‐ and bilateral correlated data pp. 340-364

- Zhiming Li, Changxing Ma and Keyi Mou
- Bayesian solution to the monotone likelihood in the standard mixture cure model pp. 365-390

- Frederico M. Almeida, Vinícius D. Mayrink and Enrico A. Colosimo
- A portmanteau test for the iid hypothesis pp. 391-402

- Ricardo Bórquez
Volume 77, issue 2, 2023
- Testing for differences in chain equating pp. 134-145

- Michela Battauz
- A phenomenological model for COVID‐19 data taking into account neighboring‐provinces effect and random noise pp. 146-155

- Julia Calatayud, Marc Jornet and Jorge Mateu
- A discrete truncated Zipf distribution pp. 156-187

- Kwame Boamah‐Addo, Tomasz J. Kozubowski and Anna K. Panorska
- Bayesian inference for a mixture double autoregressive model pp. 188-207

- Kai Yang, Qingqing Zhang, Xinyang Yu and Xiaogang Dong
- Inference for log‐location‐scale family of distributions under competing risks with progressive type‐I interval censored data pp. 208-232

- Soumya Roy and Biswabrata Pradhan
- Prior effective sample size in phase II clinical trials with mixed binary and continuous responses pp. 233-248

- Meghna Bose, Jean‐François Angers and Atanu Biswas
Volume 77, issue 1, 2023
- Threshold estimation for continuous three‐phase polynomial regression models with constant mean in the middle regime pp. 4-47

- Chih‐Hao Chang, Kam‐Fai Wong and Wei‐Yee Lim
- Assessing skewness in financial markets pp. 48-70

- Giovanni Campisi, Luca La Rocca and Silvia Muzzioli
- Usual stochastic ordering of the sample maxima from dependent distribution‐free random variables pp. 99-112

- Longxiang Fang, Narayanaswamy Balakrishnan, Wenyu Huang and Shuai Zhang
- Inverse‐probability‐weighted logrank test for stratified survival data with missing measurements pp. 113-129

- Rim Ben Elouefi and Foued Saâdaoui
Volume 76, issue 4, 2022
- Bayesian subcohort selection for longitudinal covariate measurements in follow‐up studies pp. 372-390

- Jaakko Reinikainen and Juha Karvanen
- Bartlett correction of an independence test in a multivariate Poisson model pp. 391-417

- Rolf Larsson
- Optimal subsampling for multiplicative regression with massive data pp. 418-449

- Tianzhen Wang and Haixiang Zhang
- The basic distributional theory for the product of zero mean correlated normal random variables pp. 450-470

- Robert E. Gaunt
- Editorial Statistics pp. 471-471

- Miroslav Ristic, Marijtje van Duijn and Nan van Geloven
Volume 76, issue 3, 2022
- Tests for comparing time‐invariant and time‐varying spectra based on the Anderson–Darling statistic pp. 254-282

- Shibin Zhang and Xin M. Tu
- Prediction intervals for all of M future observations based on linear random effects models pp. 283-308

- Max Menssen and Frank Schaarschmidt
- Rank correlation inferences for clustered data with small sample size pp. 309-330

- Sally Hunsberger, Lori Long, Sarah E. Reese, Gloria H. Hong, Ian A. Myles, Christa S. Zerbe, Pleonchan Chetchotisakd and Joanna H. Shih
- On some limitations of probabilistic models for dimension‐reduction: Illustration in the case of probabilistic formulations of partial least squares pp. 331-346

- Lola Etiévant and Vivian Viallon
- Average ordinary least squares‐centered penalized regression: A more efficient way to address multicollinearity than ridge regression pp. 347-368

- Wei Wang, Linjian Li, Sheng Li, Fei Yin, Fang Liao, Tao Zhang, Xiaosong Li, Xiong Xiao and Yue Ma
Volume 76, issue 2, 2022
- Log‐symmetric quantile regression models pp. 124-163

- Helton Saulo, Alan Dasilva, Víctor Leiva, Luis Sánchez and Hanns de la Fuente‐Mella
- On the conditional noncentral beta distribution pp. 164-189

- Carlo Orsi
- Autoregressive and moving average models for zero‐inflated count time series pp. 190-218

- Vurukonda Sathish, Siuli Mukhopadhyay and Rashmi Tiwari
- Bayesian model selection for multilevel mediation models pp. 219-235

- Oludare Ariyo, Emmanuel Lesaffre, Geert Verbeke, Martijn Huisman, Martijn Heymans and Jos Twisk
- On Bayesian estimation of densities and sampling distributions: The posterior predictive distribution as the Bayes estimator pp. 236-250

- Agustín G. Nogales
Volume 76, issue 1, 2022
- Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data pp. 4-34

- Subhankar Chattopadhyay, Raju Maiti, Samarjit Das and Atanu Biswas
- Goodness‐of‐fit tests for Poisson count time series based on the Stein–Chen identity pp. 35-64

- Boris Aleksandrov, Christian H. Weiß and Carsten Jentsch
- Robust prediction of domain compositions from uncertain data using isometric logratio transformations in a penalized multivariate Fay–Herriot model pp. 65-96

- Joscha Krause, Jan Pablo Burgard and Domingo Morales
- Identifying crime generators and spatially overlapping high‐risk areas through a nonlinear model: A comparison between three cities of the Valencian region (Spain) pp. 97-120

- Álvaro Briz‐Redón, Jorge Mateu and Francisco Montes
Volume 75, issue 4, 2021
- On the population least‐squares criterion in the monotone single index model pp. 408-436

- Fadoua Balabdaoui, Cécile Durot and Christopher Fragneau
- The significance filter, the winner's curse and the need to shrink pp. 437-452

- Erik W. van Zwet and Eric A. Cator
- Inflated Kumaraswamy regressions with application to water supply and sanitation in Brazil pp. 453-481

- Fábio M. Bayer, Francisco Cribari‐Neto and Jéssica Santos
- Resolving the ambiguity of random‐effects models with singular precision matrix pp. 482-499

- Woojoo Lee, Hans‐Peter Piepho and Youngjo Lee
- Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis pp. 500-523

- Andrew Atkinson, Suzie Cro, James R. Carpenter and Michael G. Kenward
- Editorial Statistics pp. 524-524

- Miroslav Ristic, Marijtje van Duijn and Nan van Geloven
Volume 75, issue 3, 2021
- Convex transform order of Beta distributions with some consequences pp. 238-256

- Idir Arab, Paulo Eduardo Oliveira and Tilo Wiklund
- Locally asymptotically efficient estimation for parametric PINAR(p) models pp. 257-289

- Mohamed Sadoun and Mohamed Bentarzi
- An integrated‐likelihood‐ratio confidence interval for a proportion based on underreported and infallible data pp. 290-298

- Briceön Wiley, Chris Elrod, Phil D. Young and Dean M. Young
- Bayesian survival model induced by frailty for lifetime with long‐term survivors pp. 299-323

- Vicente G. Cancho, Gladys D. C. Barriga, Gauss M. Cordeiro, Edwin M. M. Ortega and Adriano K. Suzuki
- On the estimation of destructive cure rate model: A new study with exponentially weighted Poisson competing risks pp. 324-342

- Suvra Pal and Souvik Roy
- Bootstrap for integer‐valued GARCH(p, q) processes pp. 343-363

- Michael H. Neumann
- Model checking for multiplicative linear regression models with mixed estimators pp. 364-403

- Jun Zhang
Volume 75, issue 2, 2021
- Longitudinal business data construction and quality: Two different approaches pp. 92-114

- Silvia Biffignandi and Alessandro Zeli
- Analysis of progressive Type‐II censoring in presence of competing risk data under step stress modeling pp. 115-136

- Arnab Koley and Debasis Kundu
- Residual and local influence analyses for unit gamma regressions pp. 137-160

- Suelena S. Rocha, Patrícia L. Espinheira and Francisco Cribari‐Neto
- Estimation of the incubation time distribution for COVID‐19 pp. 161-179

- Piet Groeneboom
- A nonparametric two‐sample test using a general φ‐divergence‐based mutual information pp. 180-202

- Apratim Guha, Atanu Biswas and Abhik Ghosh
- k‐step stage life testing pp. 203-233

- Benjamin Laumen and Erhard Cramer
Volume 75, issue 1, 2021
- The effect of a Durbin–Watson pretest on confidence intervals in regression pp. 4-23

- Paul Kabaila, Davide Farchione, Samer Alhelli and Nathan Bragg
- Maximum likelihood estimation based on the Laplace approximation for p2 network regression models pp. 24-41

- Ruggero Bellio and Nicola Soriani
- k‐Nearest neighbors local linear regression for functional and missing data at random pp. 42-65

- Mustapha Rachdi, Ali Laksaci, Zoulikha Kaid, Abbassia Benchiha and Fahimah A. Al‐Awadhi
- Selection of influential variables in ordinal data with preponderance of zeros pp. 66-87

- Ujjwal Das and Kalyan Das
- Editorial statistics pp. 88-88

- Miroslav Ristic, Marijtje van Duijn and Nan van Geloven
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