Last edited by Moogulmaran

Friday, July 10, 2020 | History

9 edition of **Handbook of Regression and Modeling** found in the catalog.

- 190 Want to read
- 6 Currently reading

Published
**December 19, 2006**
by Chapman & Hall/CRC
.

Written in English

- Mathematics,
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- Handbooks, manuals, etc,
- Medicine,
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The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 520 |

ID Numbers | |

Open Library | OL8741644M |

ISBN 10 | 157444610X |

ISBN 10 | 9781574446104 |

Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a broad overview of regression models, diagnostic procedures, and inference procedures, with emphasis on how these methods are applied. The organization of th.

insights. This book sets out to present some of the most recent developments in what has come to be known as multilevel modelling. An introductory chapter by de Leeuw and Meijer gives a brief history and a standard exposition of the basic multilevel model involving random coeﬃcients at level 2 and above, together with a discussion of some. The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in , and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of.

The Handbook of Quantitative Criminology is designed to be the authoritative volume on methodological and statistical issues in criminology and criminal justice. At a time when this field is gaining in sophistication and dealing with ever more complex empirical problems, this volume seeks to provide readers with a clear and up to date guide to quantitative criminology. This Handbook presents clearly explained modeling options for such situations, along with extensive example data analyses. The book explains core models such as logistic regression, count regression, longitudinal regression, survival analysis, and structural equation modelling without relying on mathematical by: 5.

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