Overview

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and Notes to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Full Product Details

Author:   Michael Kutner ,  Christopher Nachtsheim ,  John Neter ,  William Li
Publisher:   McGraw-Hill Education - Europe
Imprint:   McGraw-Hill Professional
Edition:   5th edition
Dimensions:   Width: 19.80cm , Height: 5.80cm , Length: 23.90cm
Weight:   2.232kg
ISBN:  

9780073108742

ISBN 10:   007310874
Pages:   1396
Publication Date:   16 September 2004
Audience:   General/trade ,  General
Format:   Mixed media product
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

Part 1 Simple Linear Regression 1 Linear Regression with One Predictor Variable 2 Inferences in Regression and Correlation Analysis 3 Diagnostic and Remedial Measures 4 Simultaneous Inferences and Other Topics in Regression Analysis 5 Matrix Approach to Simple Linear Regression Analysis Part 2 Multiple Linear Regression 6 Multiple Regression I 7 Multiple Regression II 8 Regression Models for Quantitative and Qualitative Predictors 9 Building the Regression Model I: Model Selection and Validation 10 Building the Regression Model II: Diagnostics 11 Building the Regression Model III: Remedial Measures 12 Autocorrelation in Time Series Data Part 3 Nonlinear Regression 13 Introduction to Nonlinear Regression and Neural Networks14 Logistic Regression, Poisson Regression, and Generalized Linear Models Part 4 Design and Analysis of Single-Factor Studies15 Introduction to the Design of Experimental and Observational Studies 16 Single Factor Studies 17 Analysis of Factor-Level Means 18 ANOVA Diagnostics and Remedial Measures Part 5 Multi-Factor Studies 19 Two Factor Studies with Equal Sample Sizes 20 Two Factor Studies-One Case per Treatment 21 Randomized Complete Block Designs 22 Analysis of Covariance 23 Two Factor Studies with Unequal Sample Sizes24 MultiFactor Studies 25 Random and Mixed Effects Models Part 6 Specialized Study Designs 26 Nested Designs, Subsampling, and Partially Nested Designs 27 Repeated Measures and Related Designs 28 Balanced Incomplete Block, Latin Square, and Related Designs 29 Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs 30 Response Surface Methodology Appendix A: Some Basic Results in Probability and Statistics Appendix B: Tables Appendix C: Data Sets Appendix D: Rules for Develping ANOVA Models and Tables for Balanced DesignsAppendix E: Selected Bibliography

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions