Applied linear statistical models.
Material type:
TextSeries: The McGraw-Hill/Irwin series operations and decision sciencesPublication details: Boston : McGraw-Hill Irwin, c2005.Edition: 5th edDescription: xxviii, 1396 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.)ISBN: - 0072386886 (acidfree paper)
- QA278.2 .A66
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Books
|
Methodist University Library Main General Stacks | Reference | QA278.2 .A66 (Browse shelf(Opens below)) | Available | 29106 |
Browsing Methodist University Library Main shelves,Shelving location: General Stacks,Collection: Reference Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| QA278 .B48 Data reduction and error analysis for the physical sciences / | QA278 .C48 Introduction to multivariate analysis / | QA278 .J63 Applied multivariate statistical analysis / | QA278.2 .A66 Applied linear statistical models. | QA278.2 .B37 Regression analysis : | QA278.3 .B97 Structural equation modeling with EQS : | QA278.3 .H39 Structural equation modeling with LISREL : |
Includes index
Part1 Simple Linear Regression 1 Linear Regression with One Predictor Variable 2 Inferences in Regression Analysis 3 Diagnostics 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 10Building the Regression Model II: Diagnostics 11Building the Regression Model III: Remedial Measures 12Autocorrelation in Time Series Data Part 3NonLinear Regression 13Introduction to NonLinear Regression and Neural Networks 14Logistic Regression, Poisson Regression, and Generalized Linear Models Part 4 Single Factor Studies 15Introduction to the Design of Experiments 16Analysis of Single-Factor Studies 17Analysis of Factor Level Effects in Single Factor Studies 18ANOVA Diagnostics and Remedial Measures Part 5 Two -Factor Studies and Blocking 19Two -Factor Studies- Equal Sample Sizes 20 Two -Factor Studies-One Case per Cell 21 Randomized Complete Block Designs and the Analysis of Covariance 22Two -Factor Studies-Unequal Sample Sizes and Unequal Treatment Importance Part 6 Multifactor Studies 23 Multifactor Studies 24Random and Mixed-Effects Models 25Nested Designs, Subsampling, and Partially Nested Designs 26Repeated Measures and Related Designs 27Latin Square, Balanced Incomplete Block, and Related Designs 28Exploratory Experiments-Two-Level Factorial and Fractional Factorial Designs 29Response Surface Experiments
There are no comments on this title.