Skew-Normal Model Theories and Their Applications
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Skew-Normal Model Theories and Their Applications
Ye, Rendao; Luo, Kun; Qi, Yue; Zhu, Wenyan
Taylor & Francis Ltd
11/2024
264
Dura
9781032694696
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface. Introduction. Preliminary Knowledge. Location Parameter of Skew-Normal Population. Common Location Parameter of Skew-Normal Populations. One-Way Classification Model with Skew-Normal Random Effects. Unbalanced One-Way Classification Model with Skew-Normal Random Effects. Skew-Normal Unbalanced Heteroscedastic One-Way Classification Random Effects Model. Skew-Normal Unbalanced Panel Model with One-Way Error Component. Skew-Normal Two-Way Classification Random Effects Model with Interaction. Skew-Normal Mixed Effects Model. References. Index.
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Unbalanced panel model Location parameter Unbalanced single-factor panel model One-way classification model Statistical inference Biased distribution Bootstrap approach Homogeneous test Two-way classification Generalized approach Monte Carlo simulation
Preface. Introduction. Preliminary Knowledge. Location Parameter of Skew-Normal Population. Common Location Parameter of Skew-Normal Populations. One-Way Classification Model with Skew-Normal Random Effects. Unbalanced One-Way Classification Model with Skew-Normal Random Effects. Skew-Normal Unbalanced Heteroscedastic One-Way Classification Random Effects Model. Skew-Normal Unbalanced Panel Model with One-Way Error Component. Skew-Normal Two-Way Classification Random Effects Model with Interaction. Skew-Normal Mixed Effects Model. References. Index.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.