Applied Linear Statistical S：Instructor's Solutions Manual(5th,2005)

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Contents
Chapter 1 LINEAR REGRESSION WITH ONE PREDICTOR VARIABLE
Chapter 2 INFERENCES IN REGRESSION AND CORRELATION ANALYSIS
Chapter 3 DIAGNOSTICS AND REMEDIAL MEASURES
Chapter 4 SIMULTANEOUS INFERENCES AND OTHER TOPICS IN REGRESSION ANALYSIS
Chapter 5 MATRIX APPROACH TO SIMPLE LINEAR REGRESSION ANALYSIS
Chapter 6 MULTIPLE REGRESSION – I
Chapter 7 MULTIPLE REGRESSION – II
Chapter 8 MODELS FOR QUANTITATIVE AND QUALITATIVE PREDICTORS
Chapter 9 BUILDING THE REGRESSION MODEL I: MODEL SELECTION AND VALIDATION
Chapter 10 BUILDING THE REGRESSION MODEL II: DIAGNOSTICS
Chapter 11 BUILDING THE REGRESSION MODEL III: REMEDIAL MEASURES
Chapter 12 AUTOCORRELATION IN TIME SERIES DATA
Chapter 13 INTRODUCTION TO NONLINEAR REGRESSION AND NEURAL NETWORKS
Chapter 14 LOGISTIC REGRESSION, POISSON REGRESSION,AND GENERALIZED LINEAR MODELS
Chapter 15 INTRODUCTION TO THE DESIGN OF EXPERIMENTAL AND OBSERVATIONAL STUDIES
Chapter 16 SINGLE-FACTOR STUDIES

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