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Compositional data: the sample space and its structure
(2019)
Vol. 28
Núm. 3
Pág. 599-638
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14 |
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Mode testing, critical bandwidth and excess mass
(2019)
Vol. 28
Núm. 3
Pág. 900-919
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13 |
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A generalized mixed model for skewed distributions applied to small area estimation
(2019)
Vol. 28
Núm. 2
Pág. 565-597
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5 |
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Estimation and hypothesis test for single-index multiplicative models
(2019)
Vol. 28
Núm. 1
Pág. 242-268
|
5 |
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Deville and Särndal’s calibration: revisiting a 25-years-old successful optimization problem
(2019)
Vol. 28
Núm. 4
Pág. 1033-1065
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4 |
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Heavy-tailed longitudinal regression models for censored data: a robust parametric approach
(2019)
Vol. 28
Núm. 3
Pág. 844-878
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4 |
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Objective Bayesian inference with proper scoring rules
(2019)
Vol. 28
Núm. 3
Pág. 728-755
|
3 |
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Optimal design to discriminate between rival copula models for a bivariate binary response
(2019)
Vol. 28
Núm. 1
Pág. 147-165
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3 |
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Prediction error bounds for linear regression with the TREX
(2019)
Vol. 28
Núm. 2
Pág. 451-474
|
2 |
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Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions
(2019)
Vol. 28
Núm. 1
Pág. 1-39
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2 |
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Testing equality of a large number of densities under mixing conditions
(2019)
Vol. 28
Núm. 4
Pág. 1203-1228
|
2 |
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A new class of tests for multinormality with i.i.d. and garch data based on the empirical moment generating function
(2019)
Vol. 28
Núm. 2
Pág. 499-521
|
2 |
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Identification and estimation in quantile varying-coefficient models with unknown link function
(2019)
Vol. 28
Núm. 4
Pág. 1251-1275
|
2 |
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Influence diagnostics in mixed effects logistic regression models
(2019)
Vol. 28
Núm. 3
Pág. 920-942
|
2 |
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A flexible class of parametric distributions for Bayesian linear mixed models
(2019)
Vol. 28
Núm. 2
Pág. 543-564
|
2 |
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Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values
(2019)
Vol. 28
Núm. 1
Pág. 196-222
|
2 |
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Dynamical multiple regression in function spaces, under kernel regressors, with ARH(1) errors
(2019)
Vol. 28
Núm. 3
Pág. 943-968
|
1 |
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Weighted likelihood estimation of multivariate location and scatter
(2019)
Vol. 28
Núm. 3
Pág. 756-784
|
1 |
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Robust inference for nonlinear regression models
(2019)
Vol. 28
Núm. 2
Pág. 369-398
|
1 |
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Asymptotics for the linear kernel quantile estimator
(2019)
Vol. 28
Núm. 4
Pág. 1144-1174
|
1 |
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Data science, big data and statistics
(2019)
Vol. 28
Núm. 2
Pág. 289-329
|
1 |
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Robust simultaneous inference for the mean function of functional data
(2019)
Vol. 28
Núm. 3
Pág. 785-803
|
1 |
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Jackknife empirical likelihood inference for the accelerated failure time model
(2019)
Vol. 28
Núm. 1
Pág. 269-288
|
1 |
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On the convenience of heteroscedasticity in highly multivariate disease mapping
(2019)
Vol. 28
Núm. 4
Pág. 1229-1250
|
1 |
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Affine invariant depth-based tests for the multivariate one-sample location problem
(2019)
Vol. 28
Núm. 3
Pág. 671-693
|
1 |
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Statistical inference using rank-based post-stratified samples in a finite population
(2019)
Vol. 28
Núm. 4
Pág. 1113-1143
|
1 |
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A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter
(2019)
Vol. 28
Núm. 1
Pág. 223-241
|
1 |
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Prior-free probabilistic interval estimation for binomial proportion
(2019)
Vol. 28
Núm. 2
Pág. 522-542
|
1 |
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Link misspecification in generalized linear mixed models with a random intercept for binary responses
(2019)
Vol. 28
Núm. 3
Pág. 827-843
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1 |
