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Applied Linear Statistical Models Fifth Edition - Kutner, Nachtsheim, Neter, Li
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A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Concord, California, United States
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eBay item number:394883363851
Item specifics
- Condition
- Subject
- Statistics
- ISBN
- 9780073108742
About this product
Product Identifiers
Publisher
McGraw-Hill Higher Education
ISBN-10
007310874X
ISBN-13
9780073108742
eBay Product ID (ePID)
16038278586
Product Key Features
Publication Name
Applied Linear Statistical Models
Language
English
Subject
Probability & Statistics / General, Statistics
Publication Year
2004
Type
Textbook
Subject Area
Mathematics, Business & Economics
Format
Hardcover
Dimensions
Item Height
2.3 in
Item Weight
78.7 Oz
Item Length
9.4 in
Item Width
7.8 in
Additional Product Features
Edition Number
5
Intended Audience
College Audience
Dewey Edition
22
Dewey Decimal
519.5/36
Table Of Content
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 Networks 14 Logistic Regression, Poisson Regression, and Generalized Linear Models Part 4 Design and Analysis of Single-Factor Studies 15 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 Sizes 24 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 Designs Appendix E: Selected Bibliography
Edition Description
Student edition,Revised edition
Synopsis
A text and reference on statistical modeling, this work 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. It provides a use of computing and graphical analysis.
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