An Introduction to Statistical Modelling

Author:   W. J. Krzanowski
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470711019


Pages:   272
Publication Date:   29 May 1998
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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An Introduction to Statistical Modelling


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Author:   W. J. Krzanowski
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 16.20cm , Height: 1.50cm , Length: 23.70cm
Weight:   0.397kg
ISBN:  

9780470711019


ISBN 10:   0470711019
Pages:   272
Publication Date:   29 May 1998
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Series preface. Preface. 1. Introduction. 1.1 Models in data analysis. 1.2 Populations and samples. 1.3 Variables and factors. 1.4 Observational and experimental data. 1.5 Statistical models. 2. Distributions and inference. 2.1 Random variables and probability distributions. 2.2 Probability distributions as models. 2.3 Some common distributions. 2.4 Sampling distributions. 2.5 Inference. 2.6 Postscript. 3. Normal response and quantitative explanatory variables: regression. 3.1 Motivation. 3.2 Simple regression. 3.3 Multiple regression. 3.4 Model building. 3.5 Model validation and criticism. 3.6 Comparison of regressions. 3.7 Non-linear models. 4. Normal response and qualitative explanatory variables: analysis of variance. 4.1 Motivation. 4.2 One-way arrangements. 4.3 Cross-classifications. 4.4 Nested classifications. 4.5 A general approach via multiple regression. 4.6 Analysis of covariance. 5. Non-normality: the theory of generalized linear models. 5.1 Introduction. 5.2 The generalized linear model. 5.3 Fitting the model. 5.4 Assessing the fit of a model: deviance. 5.5 Comparing models: analysis of deviance. 5.6 Normal models. 5.7 Inspecting and checking models. 5.8 Software. 6. Binomial response variables: logistic regression and related method. 6.1 Binary response data. 6.2 Modelling binary response probabilities. 6.3 Logistic regression. 6.4 Related methods. 6.5 Ordered polytomous data. 7. Tables of counts and log-linear models. 7.1 Introduction. 7.2 Data mechanisms and distributions. 7.3 Log-linear models for means. 7.4 Models for contingency tables. 7.5 Analysis. 7.6 Applications. 8. Further topics. 8.1 Introduction. 8.2 Continuous non-normal responses. 8.3 Quasi-likelihood. 8.4 Overdispersion. 8.5 Non-parametric models. 8.6 Conclusion: the art of model building. References. Index. 

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W. J. Krzanowski is the author of An Introduction to Statistical Modelling, published by Wiley.

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