An edition of Skew-Normal Model Theories and Their Applications
(2024)
Skew-Normal Model Theories and Their Applications
First edition
by Rendao Ye, Wenyan Zhu, Yue Qi, and Kun Luo
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This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications of parameters of interest. This book is of academic value, since it helps to establish a series of statistical inference theories and methods for skew-normal mixed effects models. It will also provide efficient methods and tools for practical data analysis in various fields including economics, finance, biology and medical science, which features its application value.
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| Edition | Availability |
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Skew-Normal Model Theories and Their Applications
November 8, 2024, CRC Press
Hardcover
in English
- First edition
1032694696 9781032694696
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Book Details
Table of Contents
--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.
Edition Notes
Contains bibliographic references and index.
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| September 18, 2024 | Edited by ImportBot | import existing book |
| June 7, 2024 | Edited by Kaustubh Chakraborty | Added new book |
| June 7, 2024 | Created by Kaustubh Chakraborty | Added new book. |