Plane answers to complex questions : the theory of linear models / Ronald Christensen.
"This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and o...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
New York :
Springer,
[2011]
|
| Edition: | Fourth edition. |
| Series: | Springer texts in statistics.
|
| Subjects: | |
| Online Access: | Springer eBooks Table of contents Contributor biographical information |
MARC
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| 011 | |a EDS Title: Plane Answers to Complex Questions | ||
| 011 | |a Has 338 WorldCat Holdings | ||
| 011 | |a MARC Score : 10850(23800) : OK | ||
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| 100 | 1 | |a Christensen, Ronald, |d 1951- |e author. |9 434428 | |
| 245 | 1 | 0 | |a Plane answers to complex questions : |b the theory of linear models / |c Ronald Christensen. |
| 250 | |a Fourth edition. | ||
| 264 | 1 | |a New York : |b Springer, |c [2011] | |
| 264 | 4 | |c ©2011 | |
| 300 | |a 1 online resource (xxi, 494 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Springer texts in statistics, |x 1431-857X | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Introduction -- |t Estimation -- |t Testing -- |t One-Way ANOVA -- |t Multiple Comparison Techniques -- |t Regression Analysis -- |t Multifactor Analysis of Variance -- |t Experimental Design Models -- |t Analysis of Covariance -- |t General Gauss–Markov Models -- |t Split Plot Models -- |t Mixed Models and Variance Components -- |t Model Diagnostics -- |t Variable Selection -- |t Collinearity and Alternative Estimates. |
| 520 | |a "This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on providing a unified treatment of linear models, including analysis of variance models and regression models, based on projections, orthogonality, and other vector space ideas. Every chapter comes with numerous exercises and examples that make it ideal for a graduate-level course. All of the standard topics are covered in depth: ANOVA, estimation including Bayesian estimation, hypothesis testing, multiple comparisons, regression analysis, and experimental design models. In addition, the book covers topics that are not usually treated at this level, but which are important in their own right: balanced incomplete block designs, testing for lack of fit, testing for independence, models with singular covariance matrices, variance component estimation, best linear and best linear unbiased prediction, collinearity, and variable selection. This new edition includes a more extensive discussion of best prediction and associated ideas of R2, as well as new sections on inner products and perpendicular projections for more general spaces and Milliken and Graybill’s generalization of Tukey’s one degree of freedom for nonadditivity test."--Publisher's website. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Machine converted from AACR2 source record. | ||
| 650 | 0 | |a Analysis of variance. |9 313724 | |
| 650 | 0 | |a Linear models (Statistics) |9 320114 | |
| 830 | 0 | |a Springer texts in statistics. |9 1029889 | |
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| 856 | 4 | 1 | |3 Table of contents |u http://catdir.loc.gov/catdir/enhancements/fy1312/2011928555-t.html |
| 856 | 4 | 2 | |3 Contributor biographical information |u http://catdir.loc.gov/catdir/enhancements/fy1312/2011928555-b.html |
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