Yu, Xue; Zhao, Yichuan Jackknife empirical likelihood inference for the accelerated failure time model. (English) Zbl 1420.62216 Test 28, No. 1, 269-288 (2019). MSC: 62G20 62N01 62N03 PDF BibTeX XML Cite \textit{X. Yu} and \textit{Y. Zhao}, Test 28, No. 1, 269--288 (2019; Zbl 1420.62216) Full Text: DOI
Zhang, Jun; Zhu, Junpeng; Feng, Zhenghui Estimation and hypothesis test for single-index multiplicative models. (English) Zbl 1420.62154 Test 28, No. 1, 242-268 (2019). MSC: 62G05 62G08 62G20 PDF BibTeX XML Cite \textit{J. Zhang} et al., Test 28, No. 1, 242--268 (2019; Zbl 1420.62154) Full Text: DOI
Marazzi, Alfio; Valdora, Marina; Yohai, Victor; Amiguet, Michael A robust conditional maximum likelihood estimator for generalized linear models with a dispersion parameter. (English) Zbl 1420.62099 Test 28, No. 1, 223-241 (2019). MSC: 62F10 62F12 62F35 62J12 62J20 PDF BibTeX XML Cite \textit{A. Marazzi} et al., Test 28, No. 1, 223--241 (2019; Zbl 1420.62099) Full Text: DOI
Wang, Wan-Lun Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values. (English) Zbl 1420.62290 Test 28, No. 1, 196-222 (2019). MSC: 62J02 62H30 PDF BibTeX XML Cite \textit{W.-L. Wang}, Test 28, No. 1, 196--222 (2019; Zbl 1420.62290) Full Text: DOI
Rychlik, Tomasz Sharp bounds on distribution functions and expectations of mixtures of ordered families of distributions. (English) Zbl 07106542 Test 28, No. 1, 166-195 (2019). MSC: 60E15 62C10 62E15 PDF BibTeX XML Cite \textit{T. Rychlik}, Test 28, No. 1, 166--195 (2019; Zbl 07106542) Full Text: DOI
Deldossi, Laura; Osmetti, Silvia Angela; Tommasi, Chiara Optimal design to discriminate between rival copula models for a bivariate binary response. (English) Zbl 1420.62327 Test 28, No. 1, 147-165 (2019). MSC: 62K05 62F03 PDF BibTeX XML Cite \textit{L. Deldossi} et al., Test 28, No. 1, 147--165 (2019; Zbl 1420.62327) Full Text: DOI
Bianco, Ana M.; Boente, Graciela; González-Manteiga, Wenceslao; Pérez-González, Ana Plug-in marginal estimation under a general regression model with missing responses and covariates. (English) Zbl 1420.62092 Test 28, No. 1, 106-146 (2019). MSC: 62F10 62G08 PDF BibTeX XML Cite \textit{A. M. Bianco} et al., Test 28, No. 1, 106--146 (2019; Zbl 1420.62092) Full Text: DOI
Zhang, Fode; Ng, Hon Keung Tony; Shi, Yimin; Wang, Ruibing Amari-Chentsov structure on the statistical manifold of models for accelerated life tests. (English) Zbl 1423.53015 Test 28, No. 1, 77-105 (2019). MSC: 53B05 60E05 62N05 PDF BibTeX XML Cite \textit{F. Zhang} et al., Test 28, No. 1, 77--105 (2019; Zbl 1423.53015) Full Text: DOI
Yuan, Chaofeng; Zhu, Wensheng; He, Xuming; Guo, Jianhua A mixture factor model with applications to microarray data. (English) Zbl 1420.62265 Test 28, No. 1, 60-76 (2019). MSC: 62H25 62P10 PDF BibTeX XML Cite \textit{C. Yuan} et al., Test 28, No. 1, 60--76 (2019; Zbl 1420.62265) Full Text: DOI
Kneib, Thomas; Klein, Nadja; Lang, Stefan; Umlauf, Nikolaus Rejoinder on “Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions. (English) Zbl 1428.62159 Test 28, No. 1, 55-59 (2019). MSC: 62G08 62J12 62H11 PDF BibTeX XML Cite \textit{T. Kneib} et al., Test 28, No. 1, 55--59 (2019; Zbl 1428.62159) Full Text: DOI
Stasinopoulos, M. D.; Rigby, R. A.; Heller, G. Z.; De Bastiani, F. Comments on “Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions”. (English) Zbl 1428.62165 Test 28, No. 1, 52-54 (2019). MSC: 62G08 62J12 62H11 PDF BibTeX XML Cite \textit{M. D. Stasinopoulos} et al., Test 28, No. 1, 52--54 (2019; Zbl 1428.62165) Full Text: DOI
Schnell, Patrick Comments on: “Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions”. (English) Zbl 1428.62164 Test 28, No. 1, 46-51 (2019). MSC: 62G08 62J12 62H11 PDF BibTeX XML Cite \textit{P. Schnell}, Test 28, No. 1, 46--51 (2019; Zbl 1428.62164) Full Text: DOI
Reimherr, Matthew Comments on “Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions”. (English) Zbl 1428.62161 Test 28, No. 1, 43-45 (2019). MSC: 62G08 62J12 62H11 PDF BibTeX XML Cite \textit{M. Reimherr}, Test 28, No. 1, 43--45 (2019; Zbl 1428.62161) Full Text: DOI
Goicoa, T. Comments on: “Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions”. (English) Zbl 1428.62155 Test 28, No. 1, 40-42 (2019). MSC: 62G08 62J12 62H11 PDF BibTeX XML Cite \textit{T. Goicoa}, Test 28, No. 1, 40--42 (2019; Zbl 1428.62155) Full Text: DOI
Kneib, Thomas; Klein, Nadja; Lang, Stefan; Umlauf, Nikolaus Modular regression – a Lego system for building structured additive distributional regression models with tensor product interactions. (English) Zbl 1428.62158 Test 28, No. 1, 1-39 (2019). MSC: 62G08 62J12 62H11 65D07 62P05 PDF BibTeX XML Cite \textit{T. Kneib} et al., Test 28, No. 1, 1--39 (2019; Zbl 1428.62158) Full Text: DOI