Introduction to Statistical Modelling

Introduction to Statistical Modelling
Author :
Publisher : Springer
Total Pages : 133
Release :
ISBN-10 : 9781489931740
ISBN-13 : 1489931740
Rating : 4/5 (740 Downloads)

Book Synopsis Introduction to Statistical Modelling by : Annette J. Dobson

Download or read book Introduction to Statistical Modelling written by Annette J. Dobson and published by Springer. This book was released on 2013-11-11 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about generalized linear models as described by NeIder and Wedderburn (1972). This approach provides a unified theoretical and computational framework for the most commonly used statistical methods: regression, analysis of variance and covariance, logistic regression, log-linear models for contingency tables and several more specialized techniques. More advanced expositions of the subject are given by McCullagh and NeIder (1983) and Andersen (1980). The emphasis is on the use of statistical models to investigate substantive questions rather than to produce mathematical descriptions of the data. Therefore parameter estimation and hypothesis testing are stressed. I have assumed that the reader is familiar with the most commonly used statistical concepts and methods and has some basic knowledge of calculus and matrix algebra. Short numerical examples are used to illustrate the main points. In writing this book I have been helped greatly by the comments and criticism of my students and colleagues, especially Anne Young. However, the choice of material, and the obscurities and errors are my responsibility and I apologize to the reader for any irritation caused by them. For typing the manuscript under difficult conditions I am grateful to Anne McKim, Jan Garnsey, Cath Claydon and Julie Latimer.


Introduction to Statistical Modelling Related Books

Introduction to Statistical Modelling
Language: en
Pages: 133
Authors: Annette J. Dobson
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer

GET EBOOK

This book is about generalized linear models as described by NeIder and Wedderburn (1972). This approach provides a unified theoretical and computational framew
An Introduction to Statistical Modelling
Language: en
Pages: 264
Authors: W. J. Krzanowski
Categories: Mathematics
Type: BOOK - Published: 2010-06-28 - Publisher: Wiley

GET EBOOK

Statisticians rely heavily on making models of 'causal situations' in order to fully explain and predict events. Modelling therefore plays a vital part in all a
An Introduction to Statistical Modeling of Extreme Values
Language: en
Pages: 219
Authors: Stuart Coles
Categories: Mathematics
Type: BOOK - Published: 2013-11-27 - Publisher: Springer Science & Business Media

GET EBOOK

Directly oriented towards real practical application, this book develops both the basic theoretical framework of extreme value models and the statistical infere
Statistical Models
Language: en
Pages: 459
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2009-04-27 - Publisher: Cambridge University Press

GET EBOOK

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the technique
Introduction to Statistical Methods for Financial Models
Language: en
Pages: 698
Authors: Thomas A Severini
Categories: Business & Economics
Type: BOOK - Published: 2017-07-06 - Publisher: CRC Press

GET EBOOK

This book provides an introduction to the use of statistical concepts and methods to model and analyze financial data. The ten chapters of the book fall natural