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Student Solutions Manual for Dielman's Applied Regression Analysis

Student Solutions Manual for Dielman's Applied Regression Analysis PDF Author: Terry Dielman
Publisher: South-Western College
ISBN: 9780534465506
Category : Commercial statistics
Languages : en
Pages : 176

Book Description
Provides worked-out solutions to odd-numbered problems in the text.

Student Solutions Manual for Dielman's Applied Regression Analysis

Student Solutions Manual for Dielman's Applied Regression Analysis PDF Author: Terry Dielman
Publisher: South-Western College
ISBN: 9780534465506
Category : Commercial statistics
Languages : en
Pages : 176

Book Description
Provides worked-out solutions to odd-numbered problems in the text.

Applied Linear Statistical Models

Applied Linear Statistical Models PDF Author: Michael H. Kutner
Publisher: McGraw-Hill/Irwin
ISBN: 9780072386882
Category : Mathematics
Languages : en
Pages : 1396

Book Description
Linear regression with one predictor variable; Inferences in regression and correlation analysis; Diagnosticis and remedial measures; Simultaneous inferences and other topics in regression analysis; Matrix approach to simple linear regression analysis; Multiple linear regression; Nonlinear regression; Design and analysis of single-factor studies; Multi-factor studies; Specialized study designs.

Applied Regression Analysis for Business and Economics

Applied Regression Analysis for Business and Economics PDF Author: Terry E. Dielman
Publisher:
ISBN: 9780534380458
Category :
Languages : en
Pages :

Book Description


Subject Guide to Books in Print

Subject Guide to Books in Print PDF Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 3310

Book Description


Statistics Catalog 2005

Statistics Catalog 2005 PDF Author: Neil Thomson
Publisher:
ISBN: 9780534420451
Category :
Languages : en
Pages : 164

Book Description


Econometric Analysis of Cross Section and Panel Data, second edition

Econometric Analysis of Cross Section and Panel Data, second edition PDF Author: Jeffrey M. Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Category : Business & Economics
Languages : en
Pages : 1095

Book Description
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Applied Regression Analysis for Business and Economics

Applied Regression Analysis for Business and Economics PDF Author: Terry E. Dielman
Publisher: South Western Educational Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 600

Book Description
Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.

Solutions Manual for Econometrics

Solutions Manual for Econometrics PDF Author: Badi H. Baltagi
Publisher: Springer
ISBN: 3642545483
Category : Business & Economics
Languages : en
Pages : 410

Book Description
This Third Edition updates the "Solutions Manual for Econometrics" to match the Fifth Edition of the Econometrics textbook. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples using EViews and Stata. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and it provides the reader with both applied and theoretical econometrics problems along with their solutions.

Technometrics

Technometrics PDF Author:
Publisher:
ISBN:
Category : Experimental design
Languages : en
Pages : 464

Book Description


Introduction to Regression Modeling

Introduction to Regression Modeling PDF Author: Bovas Abraham
Publisher: Duxbury Press
ISBN: 9780534420758
Category : Mathematics
Languages : en
Pages : 433

Book Description
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.