PirateBay Download | abraham b introduction regression modeling 2005 fix

abraham b introduction regression modeling 2005 fix

Type:: E-books
Files:: 1
Size:: 4.6 MB
Uploaded On:: Dec. 18, 2021, 9:56 a.m.
Added By:: andryold1
Seeders:: 0
Leechers:: 1
Info Hash:: 0BDAA1866CB2D00C170122E54621C5C7D9CACF1F

Textbook in PDF format Looking for an easy-to-understand text to guide you through the tough topic of regression modeling? INTRODUCTION TO REGRESSION MODELING (WITH CD-ROM) offers a blend of theory and regression applications and will give you the practice you need to tackle this subject through exercises, case studies. and projects that have you identify a problem of interest and collect data relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models. Preface Introduction to Regression Models Introduction Examples A General Model Important Reasons for Modeling Data Plots and Empirical Modeling An Iterative Model Building Approach Some Comments on Data Exercises Simple Linear Regression The Model Estimation of Parameters Fitted Values, Residuals, and the Estimate of o2 Properties of Least Squares Estimates Inferences about the Regression Parameters Prediction Analysis of Variance Approach to Regression Another Example Related Models Appendix: Univariate Distributions Exercises A Review of Matrix Algebra and Important Results on Random Vectors Review of Matrix Algebra Matrix Approach to Simple Linear Regression Vectors of Random Variables The Multivariate Normal Distribution Important Results on Quadratic Forms Exercises Multiple Linear Regression Model Introduction Estimation of the Model Statistical Inference The Additional Sum of Squares Principle The Analysis of Variance and the Coefficient of Determination, R2 Generalized Least Squares Appendix: Proofs of Results Exercises Specification Issues in Regression Models Elementary Special Cases Systems of Straight Lines Comparison of Several "Treatments" X Matrices with Nearly Linear-Dependent Columns X Matrices with Orthogonal Columns Exercises Model Checking Introduction Residual Analysis The Effect of Individual Cases Assessing the Adequacy of the Functional Form: Testing for Lack of Fit Variance-Stabilizing Transformations Appendix Exercises Model Selection Introduction All Possible Regressions Automatic Methods Exercises Case Studies in Linear Regression Educational Achievement of Iowa Students Predicting the Price of Bordeaux Wine Factors Influencing the Auction Price of Iowa Cows Predicting U.S. Presidential Elections Student Projects Leading to Additional Case Studies Exercises Nonlinear Regression Models Introduction Overview of Useful Deterministic Models, With Emphasis on Nonlinear Growth Curve Models Nonlinear Regression Mode Inference in the Nonlinear Regression Model Examples Exercises Regression Models for Time Series Situations A Brief Introduction to Time Series Models The Effects of Ignoring the Autocorrelation in the Errors The Estimation of Combined Regression Time Series Models Forecasting with Combined Regression Time Series Models Model-Building Strategy and Example Cointegration and Regression with Time Series Data: An Example Exercises Logistic Regression The Model Interpretation of the Parameters Estimation of the Parameters Inference Model-Building Approach in the Context of Logistic Regression Models Examples Overdispersion Other Models for Binary Responses Modeling Responses with More Than Two Categorical Outcomes Exercises Generalized Linear Models and Poisson Regression The Model Estimation of the Parameters in the Poisson Regression Model Inference in the Poisson Regression Model Overdispersion Examples Exercises Brief Answers to Selected Exercises Statistical Tables References List of Data Files Index

Get This Torrent

Abraham B. Introduction to Regression Modeling 2005.pdf 4.6 MB

Details for: Abraham B. Introduction to Regression Modeling 2005 Fix

abraham b introduction regression modeling 2005 fix