TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
1992 - 2025
Current editor(s): Alfonso Gordaliza and Ana F. Militino From: Springer Sociedad de Estadística e Investigación Operativa Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 32, issue 4, 2023
- Statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1135-1171

- T. Tony Cai, Zijian Guo and Yin Xia
- Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1172-1176

- Ye Tian and Yang Feng
- Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1177-1179

- Gerda Claeskens and Maarten Jansen
- Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1180-1183

- Ya’acov Ritov
- Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1184-1186

- Jacobo Uña-Álvarez
- Rejoinder on: statistical inference and large-scale multiple testing for high-dimensional regression models pp. 1187-1194

- T. Tony Cai, Zijian Guo and Yin Xia
- A threshold modeling for nonlinear time series of counts: application to COVID-19 data pp. 1195-1229

- Nisreen Shamma, Mehrnaz Mohammadpour and Masoumeh Shirozhan
- Sparse and debiased lasso estimation and inference for high-dimensional composite quantile regression with distributed data pp. 1230-1250

- Zhaohan Hou, Wei Ma and Lei Wang
- Bump hunting through density curvature features pp. 1251-1275

- José E. Chacón and Javier Fernández Serrano
- High-order asymptotic approximations for improved inference under exceptionally low false positive error rates pp. 1276-1306

- Basitha K. Hewa Wellalage, Igor Volobouev and A. Alexandre Trindade
- On connections between skewed, weighted and distorted distributions: applications to model extreme value distributions pp. 1307-1335

- Jorge Navarro and Jorge M Arevalillo
- A causal hidden Markov model for assessing effects of multiple direct mail campaigns pp. 1336-1364

- Fulvia Pennoni, Leonard J. Paas and Francesco Bartolucci
- Selective inference for false discovery proportion in a hidden Markov model pp. 1365-1391

- Marie Perrot-Dockès, Gilles Blanchard, Pierre Neuvial and Etienne Roquain
- Gender wage difference estimation at quantile levels using sample survey data pp. 1392-1433

- Mihaela-Cătălina Anastasiade-Guinand, Alina Matei and Yves Tillé
- Testing for trend in two-way crossed effects model under heteroscedasticity pp. 1434-1458

- Anjana Mondal, Paavo Sattler and Somesh Kumar
- Analysis of conditional randomisation and permutation schemes with application to conditional independence testing pp. 1459-1478

- Małgorzata Łazȩcka, Bartosz Kołodziejek and Jan Mielniczuk
- Statistical models and the Benford hypothesis: a unified framework pp. 1479-1507

- Lucio Barabesi, Andrea Cerioli and Marco Marzio
- On new omnibus tests of uniformity on the hypersphere pp. 1508-1529

- Alberto Fernández- de-Marcos and Eduardo García-Portugués
Volume 32, issue 3, 2023
- Statistical inference on the significance of rows and columns for matrix-valued data in an additive model pp. 785-828

- Xiumin Liu, Lu Niu and Junlong Zhao
- Comparison of quantile regression curves with censored data pp. 829-864

- Lorenzo Tedesco and Ingrid Van Keilegom
- Stochastic comparisons of relevation allocation policies in coherent systems pp. 865-907

- Jiandong Zhang and Yiying Zhang
- Novel specification tests for synchronous additive concurrent model formulation based on martingale difference divergence pp. 908-941

- Laura Freijeiro-González, Manuel Febrero-Bande and Wenceslao González-Manteiga
- Level sets of depth measures in abstract spaces pp. 942-957

- A. Cholaquidis, R. Fraiman and L. Moreno
- Estimating weak periodic vector autoregressive time series pp. 958-997

- Yacouba Boubacar Maïnassara and Eugen Ursu
- Hypothesis testing in adaptively sampled data: ART to maximize power beyond iid sampling pp. 998-1037

- Dae Woong Ham and Jiaze Qiu
- Reliability and optimal replacement policy for a generalized mixed shock model pp. 1038-1054

- Murat Ozkut
- Robust and efficient estimation of nonparametric generalized linear models pp. 1055-1078

- Ioannis Kalogridis, Gerda Claeskens and Stefan Aelst
- A general class of shock models with dependent inter-arrival times pp. 1079-1105

- Dheeraj Goyal, Nil Kamal Hazra and Maxim Finkelstein
- Nonparametric tests for semiparametric regression models pp. 1106-1130

- Federico Ferraccioli, Laura M. Sangalli and Livio Finos
- Correction: Novel specification tests for synchronous additive concurrent model formulation based on martingale difference divergence pp. 1131-1131

- Laura Freijeiro-González, Manuel Febrero-Bande and Wenceslao González-Manteiga
- Correction: Estimating weak periodic vector autoregressive time series pp. 1132-1133

- Yacouba Boubacar Maïnassara and Eugen Ursu
Volume 32, issue 2, 2023
- Nonparametric estimation in mixture cure models with covariates pp. 467-495

- Ana López-Cheda, Yingwei Peng and María Amalia Jácome
- Comments on: Nonparametric estimation in mixture cure models with covariates pp. 496-498

- Bo Han and Xiaoguang Wang
- Comments on: Nonparametric estimation in mixture cure models with covariates pp. 499-505

- Ricardo Cao
- Comments on: Nonparametric estimation in mixture cure models with covariates pp. 506-509

- Philippe Lambert
- Comments on: Nonparametric estimation in mixture cure models with covariates pp. 510-512

- César Sánchez-Sellero and Wenceslao González-Manteiga
- Rejoinder on: Nonparametric estimation in mixture cure models with covariates pp. 513-520

- Ana López-Cheda, Yingwei Peng and María Amalia Jácome
- Variable-dependent partial dimension reduction pp. 521-541

- Lu Li, Kai Tan, Xuerong Meggie Wen and Zhou Yu
- Copula modelling with penalized complexity priors: the bivariate case pp. 542-565

- Diego Battagliese, Clara Grazian, Brunero Liseo and Cristiano Villa
- Sharp inequalities of Bienaymé–Chebyshev and Gauß type for possibly asymmetric intervals around the mean pp. 566-601

- Roxana A. Ion, Chris A. J. Klaassen and Edwin R. van den Heuvel
- Inferences for extended partially linear single-index models pp. 602-622

- Zijuan Chen and Suojin Wang
- Aspects of robust canonical correlation analysis, principal components and association pp. 623-650

- Jorge G. Adrover and Stella M. Donato
- Small area estimation of average compositions under multivariate nested error regression models pp. 651-676

- María Dolores Esteban, María José Lombardía, Esther López-Vizcaíno, Domingo Morales and Agustín Pérez
- Severe testing of Benford’s law pp. 677-694

- Roy Cerqueti and Claudio Lupi
- Non-linear INAR(1) processes under an alternative geometric thinning operator pp. 695-725

- Wagner Barreto-Souza, Sokol Ndreca, Rodrigo B. Silva and Roger W. C. Silva
- Global debiased DC estimations for biased estimators via pro forma regression pp. 726-758

- Lu Lin and Feng Li
- Multipartition model for multiple change point identification pp. 759-783

- Ricardo C. Pedroso, Rosangela H. Loschi and Fernando Andrés Quintana
Volume 32, issue 1, 2023
- A general procedure for change-point detection in multivariate time series pp. 1-33

- Mamadou Lamine Diop and William Kengne
- Analysis of zero-and-one inflated bounded count time series with applications to climate and crime data pp. 34-73

- Yao Kang, Shuhui Wang, Dehui Wang and Fukang Zhu
- On a new concept of stochastic domination and the laws of large numbers pp. 74-106

- Lê Vǎn Thành
- Understanding complex predictive models with ghost variables pp. 107-145

- Pedro Delicado and Daniel Peña
- Robust censored regression with $$\ell _1$$ ℓ 1 -norm regularization pp. 146-162

- Jad Beyhum and Ingrid Keilegom
- Homogeneity tests for one-way models with dependent errors under correlated groups pp. 163-183

- Yuichi Goto, Koichi Arakaki, Yan Liu and Masanobu Taniguchi
- Correct specification of design matrices in linear mixed effects models: tests with graphical representation pp. 184-210

- Jakob Peterlin, Nataša Kejžar and Rok Blagus
- Some parametric tests based on sample spacings pp. 211-231

- Rahul Singh and Neeraj Misra
- Specification testing of partially linear single-index models: a groupwise dimension reduction-based adaptive-to-model approach pp. 232-262

- Junmin Liu, Deli Zhu, Luoyao Yu and Xuehu Zhu
- On coregionalized multivariate Gaussian Markov random fields: construction, parameterization, and Bayesian estimation and inference pp. 263-293

- Ying C. MacNab
- Criterion constrained Bayesian hierarchical models pp. 294-320

- Qingying Zong and Jonathan R. Bradley
- On functional logistic regression: some conceptual issues pp. 321-349

- José R. Berrendero, Beatriz Bueno-Larraz and Antonio Cuevas
- A data-driven reversible jump for estimating a finite mixture of regression models pp. 350-369

- Gustavo Alexis Sabillón, Luiz Gabriel Fernandes Cotrim and Daiane Aparecida Zuanetti
- Nonequivalence of two least-absolute-deviation estimators for mediation effects pp. 370-387

- WenWu Wang and Ping Yu
- Sparse overlapped linear discriminant analysis pp. 388-417

- Youssef Anzarmou, Abdallah Mkhadri and Karim Oualkacha
- Bandwidth selection for statistical matching and prediction pp. 418-446

- Inés Barbeito, Ricardo Cao and Stefan Sperlich
- Block-diagonal test for high-dimensional covariance matrices pp. 447-466

- Jiayu Lai, Xiaoyi Wang, Kaige Zhao and Shurong Zheng
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