Hello world!

Statistical Models

Author: David A. Freedman

Publisher: Cambridge University Press

ISBN: 1139477315

Category: Mathematics

Page:

View: 216

Download Now →

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 techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are many of the exercises. Relevant journal articles are reprinted at the back of the book. Freedman makes a thorough appraisal of the statistical methods in these papers and in a variety of other examples. He illustrates the principles of modelling, and the pitfalls. The discussion shows you how to think about the critical issues - including the connection (or lack of it) between the statistical models and the real phenomena. The book is written for advanced undergraduates and beginning graduate students in statistics, as well as students and professionals in the social and health sciences.
Statistical Models for Data Analysis
Language: en
Pages: 419
Authors: Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
Categories: Mathematics
Type: BOOK - Published: 2013-07-01 - Publisher: Springer Science & Business Media

The papers in this book cover issues related to the development of novel statistical models for the analysis of data. They offer solutions for relevant problems in statistical data analysis and contain the explicit derivation of the proposed models as well as their implementation. The book assembles the selected and
Statistical Models
Language: en
Pages:
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2009-04-27 - Publisher: Cambridge University Press

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 techniques you need to build statistical models of your own. The discussion in the book is organized around published studies, as are
Statistical Models in Epidemiology
Language: en
Pages: 384
Authors: David Clayton, Michael Hills
Categories: Mathematics
Type: BOOK - Published: 2013-01-17 - Publisher: Oxford University Press

This self-contained account of the statistical basis of epidemiology has been written for those with a basic training in biology. No previous knowledge of the subject is assumed and mathematics is deliberately kept at a manageable level. Based on a highly successful course, this book explains the essential statistics for
Statistical Models Based on Counting Processes
Language: en
Pages: 784
Authors: PER KRAGH ANDERSEN, Ornulf Borgan, Richard D. Gill, Niels Keiding
Categories: Mathematics
Type: BOOK - Published: 1996-12-20 - Publisher: Springer Science & Business Media

Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book presents this theory, which has been the subject of intense research activity over the past 15 years. The exposition of the theory is integrated with careful presentation of
Parametric Statistical Models and Likelihood
Language: en
Pages: 276
Authors: Ole E Barndorff-Nielsen
Categories: Mathematics
Type: BOOK - Published: 1988-12-06 - Publisher: Springer

The book gives an account of the mathematical-statistical theory of the main classes of parametric statistical models, i.e. transformatioon models and exponential models, and of likelihood based inference. The emphasis is on recent developments - various new results are presented - and the mathematical techniques employed include parts of the