4 - 10-1 11 BUILDING THE REGRESSION MODEL III: REMEDIAL...

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Contents 1 LINEAR REGRESSION WITH ONE PREDICTOR VARIABLE 1-1 2 INFERENCES IN REGRESSION AND CORRELATION ANALYSIS 2-1 3 DIAGNOSTICS AND REMEDIAL MEASURES 3-1 4 SIMULTANEOUS INFERENCES AND OTHER TOPICS IN REGRES- SION ANALYSIS 4-1 5 MATRIX APPROACH TO SIMPLE LINEAR REGRESSION ANALY- SIS 5-1 6 MULTIPLE REGRESSION – I 6-1 7 MULTIPLE REGRESSION – II 7-1 8 MODELS FOR QUANTITATIVE AND QUALITATIVE PREDICTORS 8-1 9 BUILDING THE REGRESSION MODEL I: MODEL SELECTION AND VALIDATION 9-1 10 BUILDING THE REGRESSION MODEL II: DIAGNOSTICS
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Unformatted text preview: 10-1 11 BUILDING THE REGRESSION MODEL III: REMEDIAL MEASURES11-1 12 AUTOCORRELATION IN TIME SERIES DATA 12-1 13 INTRODUCTION TO NONLINEAR REGRESSION AND NEURAL NET-WORKS 13-1 14 LOGISTIC REGRESSION, POISSON REGRESSION,AND GENERAL-IZED LINEAR MODELS 14-1 15 INTRODUCTION TO THE DESIGN OF EXPERIMENTAL AND OB-SERVATIONAL STUDIES 15-1 16 SINGLE-FACTOR STUDIES 16-1 17 ANALYSIS OF FACTOR LEVEL MEANS 17-1 iii...
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