Applied linear statistical models, Volume 1

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Irwin, 1996 - Business & Economics - 1408 pages
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There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.

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Contents

Variable
3
Inferences in Regression Analysis
46
Regression Analysis
69
Measurement
138
Simultaneous Inferences and Other
152
Matrix Approach to Simple Linear
176
Part II
214
Matrix Terms
225
Part VI
793
Analysis of Factor Effects
849
TwoFactor StudiesOne Case
875
Multifactor Studies
924
Random and Mixed Effects
958
Analysis of Covariance
1010
Study Designs
1043
Randomized Block Designs
1072

Multiple RegressionII
260
Building the Regression Model
327
Part VII
329
Building the Regression Model
354
Diagnostics
361
Qualitative Predictor Variables
455
Autocorrelation in Time Series
497
Nonlinear Regression
529
Logistic Regression Poisson
567
Normal Correlation Models
631
PartV
661
Analysis of Factor Level Effects
710
ANOVA Diagnostics and Remedial
756
Nested Designs Subsampling
1121
Repeated Measures and Related
1164
Latin Square and Related
1207
Exploratory ExperimentsTwoLevel
1234
Response Surface Methodology
1280
Appendix A Some Basic Results in Probability
1313
Appendix B Tables
1336
Data Sets
1365
Rules for Developing ANOVA Models
1373
Appendix E Selected Bibliography
1392
Index
1400
Copyright

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About the author (1996)

Michael H. Kutner is a professor at Emory University in Atlanta.

Chris J. Nachtsheim is a professor at the University of Minnesota--Minneapolis.

John Neter is a professor at the University of Georgia in Athens.