# Applied linear statistical models, Volume 1

Irwin, 1996 - Business & Economics - 1408 pages
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