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TEST: An Official Journal of the Spanish Society of Statistics and Operations Research

1992 - 2020

Current editor(s): Alfonso Gordaliza and Ana F. Militino

From:
Springer
Sociedad de Estadística e Investigación Operativa
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2020, volume 29, issue 2

Inference and computation with generalized additive models and their extensions pp. 307-339 Downloads
Simon N. Wood
Comments on: Inference and computation with Generalized Additive Models and their extensions pp. 340-342 Downloads
Paul Eilers
Comments on: Inference and computation with Generalized Additive Models and their extensions pp. 343-350 Downloads
Sonja Greven and Fabian Scheipl
Comments on: Inference and computation with Generalized Additive Models and their extensions pp. 351-353 Downloads
Thomas Kneib
Rejoinder on: Inference and computation with Generalized Additive Models and their extensions pp. 354-358 Downloads
Simon N. Wood
Comparing samples from the $${\mathcal {G}}^0$$G0 distribution using a geodesic distance pp. 359-378 Downloads
Alejandro C. Frery and Juliana Gambini
Nuisance-parameter-free changepoint detection in non-stationary series pp. 379-408 Downloads
Michal Pešta and Martin Wendler
Estimators of quantile difference between two samples with length-biased and right-censored data pp. 409-429 Downloads
Li Xun, Li Tao and Yong Zhou
Multi-criteria-based optimal life-testing plans under hybrid censoring scheme pp. 430-453 Downloads
Ritwik Bhattacharya, Baidya Nath Saha, Graceila González Farías and Narayanaswamy Balakrishnan
Bayesian sequential design for Copula models pp. 454-478 Downloads
S. G. J. Senarathne, C. C. Drovandi and J. M. McGree
Fitting spatial max-mixture processes with unknown extremal dependence class: an exploratory analysis tool pp. 479-522 Downloads
A. Abu-Awwad, V. Maume-Deschamps and P. Ribereau
Residual and influence analysis to a general class of simplex regression pp. 523-552 Downloads
Patrícia L. Espinheira and Alisson Oliveira Silva
Locally efficient estimation in generalized partially linear model with measurement error in nonlinear function pp. 553-572 Downloads
Qianqian Wang, Yanyuan Ma and Guangren Yang
Depth-based weighted jackknife empirical likelihood for non-smooth U-structure equations pp. 573-598 Downloads
Yongli Sang, Xin Dang and Yichuan Zhao
Goodness-of-fit tests for censored regression based on artificial data points pp. 599-615 Downloads
Wenceslao González Manteiga, Cédric Heuchenne, César Sánchez Sellero and Alessandro Beretta

2020, volume 29, issue 1

On active learning methods for manifold data pp. 1-33 Downloads
Hang Li, Enrique Castillo and George Runger
Comments on: On active learning methods for manifold data pp. 34-37 Downloads
Abhik Ghosh
Comments on: On Active Learning Methods for Manifold Data pp. 38-41 Downloads
Mostafa Reisi Gahrooei, Hao Yan and Kamran Paynabar
Rejoinder on: “On active learning methods for manifold data” pp. 42-49 Downloads
Hang Li, Enrique Castillo and George Runger
Robust estimators in a generalized partly linear regression model under monotony constraints pp. 50-89 Downloads
Graciela Boente, Daniela Rodriguez and Pablo Vena
Is perfect repair always perfect? pp. 90-104 Downloads
Ji Hwan Cha and Maxim Finkelstein
Testing normality via a distributional fixed point property in the Stein characterization pp. 105-138 Downloads
Steffen Betsch and Bruno Ebner
Objective Bayesian comparison of order-constrained models in contingency tables pp. 139-165 Downloads
Roberta Paroli and Guido Consonni
A Fay–Herriot model when auxiliary variables are measured with error pp. 166-195 Downloads
Jan Pablo Burgard, María Dolores Esteban, Domingo Morales and Agustín Pérez
Parameter estimation and diagnostic tests for INMA(1) processes pp. 196-232 Downloads
Boris Aleksandrov and Christian H. Weiß
Optimal designs in multiple group random coefficient regression models pp. 233-254 Downloads
Maryna Prus
Comparisons of coherent systems under the time-transformed exponential model pp. 255-281 Downloads
Jorge Navarro and Julio Mulero
Oracally efficient estimation for dense functional data with holiday effects pp. 282-306 Downloads
Li Cai, Lisha Li, Simin Huang, Liang Ma and Lijian Yang

2019, volume 28, issue 4

Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem pp. 1033-1065 Downloads
Denis Devaud and Yves Tillé
Comments on: Deville and Särndal’s Calibration: revisiting a 25 years old successful optimization problem pp. 1066-1067 Downloads
Phillip S. Kott
Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem pp. 1068-1070 Downloads
Domingo Morales
Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem pp. 1071-1076 Downloads
Jean-Francois Beaumont and J. N. K. Rao
Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem pp. 1077-1081 Downloads
Maria del Mar Rueda
Comments on: Deville and Särndal’s calibration: revisiting a 25 years old successful optimization problem pp. 1082-1086 Downloads
Changbao Wu and Shixiao Zhang
Rejoinder on: Deville and Särndal’s calibration: revisiting a 25-year-old successful optimization problem pp. 1087-1091 Downloads
Denis Devaud and Yves Tillé
An $${{\varvec{L}}}^{2}$$L2-norm-based test for equality of several covariance functions: a further study pp. 1092-1112 Downloads
Jia Guo, Bu Zhou, Jianwei Chen and Jin-Ting Zhang
Statistical inference using rank-based post-stratified samples in a finite population pp. 1113-1143 Downloads
Omer Ozturk
Asymptotics for the linear kernel quantile estimator pp. 1144-1174 Downloads
Xuejun Wang, Yi Wu, Wei Yu, Wenzhi Yang and Shuhe Hu
Likelihood-based tests for a class of misspecified finite mixture models for ordinal categorical data pp. 1175-1202 Downloads
Roberto Colombi and Sabrina Giordano
Testing equality of a large number of densities under mixing conditions pp. 1203-1228 Downloads
Marta Cousido-Rocha, Jacobo Uña-Álvarez and Jeffrey D. Hart
On the convenience of heteroscedasticity in highly multivariate disease mapping pp. 1229-1250 Downloads
F. Corpas-Burgos, P. Botella-Rocamora and M. A. Martinez-Beneito
Identification and estimation in quantile varying-coefficient models with unknown link function pp. 1251-1275 Downloads
Lili Yue, Gaorong Li and Heng Lian

2019, volume 28, issue 3

Compositional data: the sample space and its structure pp. 599-638 Downloads
Juan José Egozcue and Vera Pawlowsky-Glahn
Comments on: Compositional data: the sample space and its structure pp. 639-643 Downloads
Peter Filzmoser and Karel Hron
Comments on: Compositional data: the sample space and its structure pp. 644-652 Downloads
Michael Greenacre
Comments on: Compositional data: the sample space and its structure pp. 653-657 Downloads
J. A. Martín-Fernández
Rejoinder on: Compositional data: the sample space and its structure pp. 658-663 Downloads
Juan José Egozcue and Vera Pawlowsky-Glahn
Comments on: Data science, big data and statistics pp. 664-670 Downloads
Ricardo Cao
Affine invariant depth-based tests for the multivariate one-sample location problem pp. 671-693 Downloads
Sakineh Dehghan and Mohammad Reza Faridrohani
NOVELIST estimator of large correlation and covariance matrices and their inverses pp. 694-727 Downloads
Na Huang and Piotr Fryzlewicz
Objective Bayesian inference with proper scoring rules pp. 728-755 Downloads
F. Giummolè, V. Mameli, E. Ruli and L. Ventura
Weighted likelihood estimation of multivariate location and scatter pp. 756-784 Downloads
Claudio Agostinelli and Luca Greco
Robust simultaneous inference for the mean function of functional data pp. 785-803 Downloads
Italo R. Lima, Guanqun Cao and Nedret Billor
Two-sample test for sparse high-dimensional multinomial distributions pp. 804-826 Downloads
Amanda Plunkett and Junyong Park
Link misspecification in generalized linear mixed models with a random intercept for binary responses pp. 827-843 Downloads
Shun Yu and Xianzheng Huang
Heavy-tailed longitudinal regression models for censored data: a robust parametric approach pp. 844-878 Downloads
Larissa A. Matos, Víctor H. Lachos, Tsung-I Lin and Luis M. Castro
Minimum distance model checking in Berkson measurement error models with validation data pp. 879-899 Downloads
Pei Geng and Hira L. Koul
Mode testing, critical bandwidth and excess mass pp. 900-919 Downloads
Jose Ameijeiras-Alonso, Rosa M. Crujeiras and Alberto Rodríguez-Casal
Influence diagnostics in mixed effects logistic regression models pp. 920-942 Downloads
Alejandra Tapia, Victor Leiva, Maria del Pilar Diaz and Viviana Giampaoli
Dynamical multiple regression in function spaces, under kernel regressors, with ARH(1) errors pp. 943-968 Downloads
M. D. Ruiz-Medina, D. Miranda and R. M. Espejo
A GQL-based inference in non-stationary BINMA(1) time series pp. 969-998 Downloads
Miroslav M. Ristić, Yuvraj Sunecher, Naushad Mamode Khan and Vandna Jowaheer
Smoothed empirical likelihood inference via the modified Cholesky decomposition for quantile varying coefficient models with longitudinal data pp. 999-1032 Downloads
Jing Lv, Chaohui Guo and Jibo Wu

2019, volume 28, issue 2

Data science, big data and statistics pp. 289-329 Downloads
Pedro Galeano and Daniel Peña
Comments on: Data science, big data and statistics pp. 330-333 Downloads
Peter Bühlmann
Comments on: Data science, big data and statistics pp. 334-337 Downloads
Pedro Delicado
Comments on: Data science, big data and statistics pp. 338-341 Downloads
Marc G. Genton and Ying Sun
Comments on: Data science, big data and statistics pp. 342-344 Downloads
J. S. Marron
Comments on: Data science, big data and statistics pp. 345-348 Downloads
Abigael C. Nachtsheim and John Stufken
Comments on: Data science, big data and statistics pp. 349-352 Downloads
Marco Riani, Anthony C. Atkinson, Andrea Cerioli and Aldo Corbellini
Comments on: Data science, big data and statistics pp. 353-356 Downloads
Jian Qing Shi and Shane Halloran
Comments on: Data science, big data and statistics pp. 357-359 Downloads
Ruey S. Tsay
Comments on: Data science, big data and statistics pp. 360-362 Downloads
Stefan Aelst and Ruben H. Zamar
Rejoinder on: Data science, big data and statistics pp. 363-368 Downloads
Pedro Galeano and Daniel Peña
Robust inference for nonlinear regression models pp. 369-398 Downloads
Ana M. Bianco and Paula M. Spano
Modelling covariance matrices by the trigonometric separation strategy with application to hidden Markov models pp. 399-422 Downloads
Luigi Spezia
A plug-in bandwidth selector for nonparametric quantile regression pp. 423-450 Downloads
Mercedes Conde-Amboage and César Sánchez-Sellero
Prediction error bounds for linear regression with the TREX pp. 451-474 Downloads
Jacob Bien, Irina Gaynanova, Johannes Lederer and Christian L. Müller
A stochastic ordering based on the canonical transformation of skew-normal vectors pp. 475-498 Downloads
Jorge M. Arevalillo and Hilario Navarro
A new class of tests for multinormality with i.i.d. and garch data based on the empirical moment generating function pp. 499-521 Downloads
Norbert Henze and María Dolores Jiménez-Gamero
Prior-free probabilistic interval estimation for binomial proportion pp. 522-542 Downloads
Hezhi Lu, Hua Jin, Zhining Wang, Chao Chen and Ying Lu
A flexible class of parametric distributions for Bayesian linear mixed models pp. 543-564 Downloads
Mohsen Maleki, Darren Wraith and Reinaldo B. Arellano-Valle
A generalized mixed model for skewed distributions applied to small area estimation pp. 565-597 Downloads
Monique Graf, J. Miguel Marín and Isabel Molina

2019, volume 28, issue 1

Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions pp. 1-39 Downloads
Thomas Kneib, Nadja Klein, Stefan Lang and Nikolaus Umlauf
Comments on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions pp. 40-42 Downloads
T. Goicoa
Comments on: Modular regression—a Lego system for building structured additive distributional regression models with tensor product interactions pp. 43-45 Downloads
Matthew Reimherr
Comments on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions pp. 46-51 Downloads
Patrick Schnell
Comments on: Modular regression—a Lego system for building structured additive distributional regression models with tensor product interactions pp. 52-54 Downloads
M. D. Stasinopoulos, R. A. Rigby, G. Z. Heller and F. De Bastiani
Rejoinder on: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions pp. 55-59 Downloads
Thomas Kneib, Nadja Klein, Stefan Lang and Nikolaus Umlauf
A mixture factor model with applications to microarray data pp. 60-76 Downloads
Chaofeng Yuan, Wensheng Zhu, Xuming He and Jianhua Guo
Amari–Chentsov structure on the statistical manifold of models for accelerated life tests pp. 77-105 Downloads
Fode Zhang, Hon Keung Tony Ng, Yimin Shi and Ruibing Wang
Plug-in marginal estimation under a general regression model with missing responses and covariates pp. 106-146 Downloads
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga and Ana Pérez-González
Optimal design to discriminate between rival copula models for a bivariate binary response pp. 147-165 Downloads
Laura Deldossi, Silvia Angela Osmetti and Chiara Tommasi
Sharp bounds on distribution functions and expectations of mixtures of ordered families of distributions pp. 166-195 Downloads
Tomasz Rychlik
Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values pp. 196-222 Downloads
Wan-Lun Wang
A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter pp. 223-241 Downloads
Alfio Marazzi, Marina Valdora, Victor Yohai and Michael Amiguet
Estimation and hypothesis test for single-index multiplicative models pp. 242-268 Downloads
Jun Zhang, Junpeng Zhu and Zhenghui Feng
Jackknife empirical likelihood inference for the accelerated failure time model pp. 269-288 Downloads
Xue Yu and Yichuan Zhao
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