Richly parameterized linear models : additive, time series, and spatial models using random effects / James S. Hodges.
Material type:
TextSeries: Chapman & Hall/CRC texts in statistical science seriesPublication details: Boca Raton : CRC Press, c2014.Description: xxxviiii, 431 p. : illustrations ; 24 cmISBN: - 9781439866832 (hbk. : alk. paper)
- 000SA.062 23 H688
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.062 H688 (Browse shelf(Opens below)) | Available | 135413 |
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| 000SA.062 G151 Linear mixed-effects models using R : | 000SA.062 G885 Matrix algebra for linear models / | 000SA.062 H685 Methods and applications of linear models : | 000SA.062 H688 Richly parameterized linear models : | 000SA.062 L744 Linear models of optimal test design / | 000SA.062 R215 Linear models and generalizations | 000SA.062 Se439 Linear models / |
Includes bibliographical references (pages 413-424) and indexes.
I. Mixed Linear Models: Syntax, Theory, and Methods
1. An Opinionated Survey of Methods for Mixed Linear Models--
2. Two More Tools: Alternative Formulation, Measures of Complexity--
II Richly Parameterized Models as Mixed Linear Models--
3. Penalized Splines as Mixed Linear Models--
4. Additive Models and Models with Interactions--
5. Spatial Models as Mixed Linear Models--
6. Time-Series Models as Mixed Linear Models--
7. Two Other Syntaxes for Richly Parameterized Models--
III Form Linear Models to Richly Parameterized Models: Mean Structure--
8. Adapting Diagnostics from Linear Models--
9. Puzzles from Analyzing Real Datasets--
10. A Random Effect Competing with a Fixed Effect--
11. Differential Shrinkage--
12. Competition between Random Effects--
13. Random Effects Old and New--
Exercises--
"This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research"--
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