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Original Articles

Local influence analysis for regression models with scale mixtures of skew-normal distributions

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Pages 343-368 | Received 13 Feb 2009, Accepted 05 Oct 2009, Published online: 08 Oct 2010

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Read on this site (13)

Mahmoud Torabi, Malay Ghosh, Jiyoun Myung & Mark Steel. (2023) Measurement error in linear regression models with fat tails and skewed errors. Communications in Statistics - Theory and Methods 52:15, pages 5407-5426.
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Yonghui Liu, Jing Wang, Zhao Yao, Conan Liu & Shuangzhe Liu. (2022) Diagnostic analytics for a GARCH model under skew-normal distributions. Communications in Statistics - Simulation and Computation 0:0, pages 1-25.
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Clécio S. Ferreira, Heleno Bolfarine & Víctor H. Lachos. (2022) Linear mixed models based on skew scale mixtures of normal distributions. Communications in Statistics - Simulation and Computation 51:12, pages 7194-7214.
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Fereshte Kahrari, Reinaldo Boris Arellano-Valle, Clecio da Silva Ferreira & Diego Gallardo. (2022) Some simulation/computation in multivariate linear models of scale mixtures of skew-normal-Cauchy distributions. Communications in Statistics - Simulation and Computation 51:11, pages 6425-6440.
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Mohsen Maleki, Darren Wraith, Mohammad R. Mahmoudi & Javier E. Contreras-Reyes. (2020) Asymmetric heavy-tailed vector auto-regressive processes with application to financial data. Journal of Statistical Computation and Simulation 90:2, pages 324-340.
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A. Hajrajabi & M. Maleki. (2019) Nonlinear semiparametric autoregressive model with finite mixtures of scale mixtures of skew normal innovations. Journal of Applied Statistics 46:11, pages 2010-2029.
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Marcos Antonio Alves Pereira & Cibele Maria Russo. (2019) Nonlinear mixed-effects models with scale mixture of skew-normal distributions. Journal of Applied Statistics 46:9, pages 1602-1620.
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Clécio S. Ferreira & Reinaldo B. Arellano-Valle. (2018) Estimation and diagnostic analysis in skew-generalized-normal regression models. Journal of Statistical Computation and Simulation 88:6, pages 1039-1059.
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Mohsen Maleki & Reinaldo B. Arellano-Valle. (2017) Maximum a-posteriori estimation of autoregressive processes based on finite mixtures of scale-mixtures of skew-normal distributions. Journal of Statistical Computation and Simulation 87:6, pages 1061-1083.
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Chun-Zheng Cao, Jin-Guan Lin & Jian-Qing Shi. (2014) Diagnostics on nonlinear model with scale mixtures of skew-normal and first-order autoregressive errors. Statistics 48:5, pages 1033-1047.
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Ahmed N Albatineh, B.M. Golam Kibria, Meredith L Wilcox & Bashar Zogheib. (2014) Confidence interval estimation for the population coefficient of variation using ranked set sampling: a simulation study. Journal of Applied Statistics 41:4, pages 733-751.
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Guillermo Ferreira, Luis M. Castro, Victor H. Lachos & Ronaldo Dias. (2013) Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors. Journal of Applied Statistics 40:8, pages 1796-1816.
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Articles from other publishers (12)

Paul R. Dewick, Shuangzhe Liu, Yonghui Liu & Tiefeng Ma. (2023) Elliptical and Skew-Elliptical Regression Models and Their Applications to Financial Data Analytics. Journal of Risk and Financial Management 16:7, pages 310.
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Graciliano M. S. Louredo, Camila B. Zeller & Clécio S. Ferreira. (2021) Estimation and Influence Diagnostics for the Multivariate Linear Regression Models with Skew Scale Mixtures of Normal Distributions. Sankhya B 84:1, pages 204-242.
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Uyen Huynh, Nabendu Pal & Man Nguyen. (2021) Regression model under skew-normal error with applications in predicting groundwater arsenic level in the Mekong Delta Region. Environmental and Ecological Statistics 28:2, pages 323-353.
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Mohsen Maleki, Arezo Hajrajabi & Reinaldo B. Arellano-Valle. (2020) Symmetrical and asymmetrical mixture autoregressive processes. Brazilian Journal of Probability and Statistics 34:2.
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Chunzheng Cao, Yahui Wang, Jian Qing Shi & Jinguan Lin. (2017) Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions. Computational Economics 52:2, pages 531-553.
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Víctor Hugo Lachos Dávila, Celso Rômulo Barbosa Cabral & Camila Borelli ZellerVíctor Hugo Lachos Dávila, Celso Rômulo Barbosa Cabral & Camila Borelli Zeller. 2018. Finite Mixture of Skewed Distributions. Finite Mixture of Skewed Distributions 77 93 .
Hao Hu, Weixin Yao & Yichao Wu. (2017) The robust EM-type algorithms for log-concave mixtures of regression models. Computational Statistics & Data Analysis 111, pages 14-26.
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Camila B. Zeller, Celso R. B. Cabral & Víctor H. Lachos. (2015) Robust mixture regression modeling based on scale mixtures of skew-normal distributions. TEST 25:2, pages 375-396.
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Camila B. Zeller, Victor H. Lachos & Filidor Vilca Labra. (2013) Influence diagnostics for Grubbs’s model with asymmetric heavy-tailed distributions. Statistical Papers 55:3, pages 671-690.
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M. Ganjali & T. Baghfalaki. (2014) A Bayesian Shared Parameter Model for Analysing Longitudinal Skewed Responses with Nonignorable Dropout. International Journal of Statistics in Medical Research 3:2, pages 103-115.
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Xuedong Chen, Qianying Zeng & Qiankun Song. (2014) Likelihood Inference of Nonlinear Models Based on a Class of Flexible Skewed Distributions. Abstract and Applied Analysis 2014, pages 1-8.
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Camila B. Zeller, Rignaldo R. Carvalho & Victor H. Lachos. (2011) On diagnostics in multivariate measurement error models under asymmetric heavy-tailed distributions. Statistical Papers 53:3, pages 665-683.
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