Skew-Normal Model Theories and Their Applications
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53 140 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 8 November 2024
- ISBN 9781032694696
- Binding Hardback
- No. of pages272 pages
- Size 234x156 mm
- Weight 662 g
- Language English
- Illustrations 19 Illustrations, black & white; 70 Tables, black & white 661
Categories
Short description:
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.
MoreLong description:
The book focuses on several skew-normal mixed effects models, and systematically explores statistical inference theories, methods, and applications of parameters of interest. This book is of academic value as it helps to establish a series of statistical inference theories and methods for skew-normal mixed effects models. On the applications side, it provides efficient methods and tools for practical data analysis in various fields including economics, finance, biology and medical science.
MoreTable 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.
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