| ISBN13: | 9781032694696 |
| ISBN10: | 1032694696 |
| Binding: | Hardback |
| No. of pages: | 272 pages |
| Size: | 234x156 mm |
| Weight: | 662 g |
| Language: | English |
| Illustrations: | 19 Illustrations, black & white; 70 Tables, black & white |
| 694 |
Skew-Normal Model Theories and Their Applications
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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.
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.
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.
