Related Books
Language: en
Pages: 459
Pages: 459
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 technique
Language: en
Pages: 264
Pages: 264
Type: BOOK - Published: 2010-06-28 - Publisher: Wiley
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
Language: en
Pages: 1396
Pages: 1396
Type: BOOK - Published: 2005 - Publisher: McGraw-Hill/Irwin
Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences an
Language: en
Pages: 542
Pages: 542
Type: BOOK - Published: 2017-11-01 - Publisher: Routledge
Statistical Models in S extends the S language to fit and analyze a variety of statistical models, including analysis of variance, generalized linear models, ad
Language: en
Pages: 0
Pages: 0
Type: BOOK - Published: 2008-06-30 - Publisher: Cambridge University Press
Models and likelihood are the backbone of modern statistics and data analysis. The coverage is unrivaled, with sections on survival analysis, missing data, Mark
