Author: Terry DielmanPublisher: 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
Author: Terry DielmanPublisher: 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 Applied Regression Analysis for Business and Economics, Second Edition
Author: Terry E. DielmanPublisher:
ISBN:
Category : Commercial statistics
Languages : en
Pages : 116
Book Description
Student Solutions Manual to Accompany 'An Introduction to Econometrics - a Self Contained Approach': Descriptive Statistics; Chapter 2 Essentials of Probability and Estimation; Chapter 3 Interval Estimates and the Central Limit Theorem; Chapter 4 Estimation Procedures, Estimates, and Hypothesis Testing; Chapter 5 Ordinary Least Squares Estimation Procedure-The Mechanics; Chapter 6 Ordinary Least Squares Estimation Procedure-The Properties; Chapter 7 Estimating the Variance of an Estimate's Property Distribution; Chapter 8 Interval Estimates and Hypothesis Testing; Chapter 9 One-Tailed Tests, Two-Tailed Tests, and Logarithms
Author: Frank WesthoffPublisher:
ISBN: 9781461943808
Category : Econometrics
Languages : en
Pages :
Book Description
Solutions to odd-numbered prep questions, review questions, and exercises in an undergraduate econometric textbook designed to teach students regression analysis on one semester.
Student's Solutions Manual
Author: Nancy S. BoudreauPublisher:
ISBN:
Category : Commercial statistics
Languages : en
Pages : 0
Book Description
Student's Solutions Manual to Accompany Terry Sincich and William Mendenhall's A Second Course in Business Statistics
Author: Nancy J. ShaferPublisher:
ISBN: 9780023805516
Category : Commercial statistic
Languages : en
Pages : 256
Book Description
Instructor Solutions Manual to Accompany Applied Linear Regression Models, Second Edition & Applied Linear Statistical Models, Third Edition
Author: John NeterPublisher:
ISBN:
Category : Analysis of variance
Languages : en
Pages : 340
Book Description
Solutions Manual
Author: William MendenhallApplied Regression Modeling
Author: Iain PardoePublisher: John Wiley & Sons
ISBN: 1119615909
Category : Mathematics
Languages : en
Pages : 338
Book Description
Master the fundamentals of regression without learning calculus with this one-stop resource The newly and thoroughly revised 3rd Edition of Applied Regression Modeling delivers a concise but comprehensive treatment of the application of statistical regression analysis for those with little or no background in calculus. Accomplished instructor and author Dr. Iain Pardoe has reworked many of the more challenging topics, included learning outcomes and additional end-of-chapter exercises, and added coverage of several brand-new topics including multiple linear regression using matrices. The methods described in the text are clearly illustrated with multi-format datasets available on the book's supplementary website. In addition to a fulsome explanation of foundational regression techniques, the book introduces modeling extensions that illustrate advanced regression strategies, including model building, logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series forecasting. Illustrations, graphs, and computer software output appear throughout the book to assist readers in understanding and retaining the more complex content. Applied Regression Modeling covers a wide variety of topics, like: Simple linear regression models, including the least squares criterion, how to evaluate model fit, and estimation/prediction Multiple linear regression, including testing regression parameters, checking model assumptions graphically, and testing model assumptions numerically Regression model building, including predictor and response variable transformations, qualitative predictors, and regression pitfalls Three fully described case studies, including one each on home prices, vehicle fuel efficiency, and pharmaceutical patches Perfect for students of any undergraduate statistics course in which regression analysis is a main focus, Applied Regression Modeling also belongs on the bookshelves of non-statistics graduate students, including MBAs, and for students of vocational, professional, and applied courses like data science and machine learning.
Applied Regression Analysis for Business and Economics
Author: Terry E. DielmanPublisher: Brooks/Cole
ISBN:
Category : Business & Economics
Languages : en
Pages : 664
Book Description
Designed for undergraduate and MBA courses in regression analysis for business and economics, this text requires very little mathematical expertise beyond college algebra. Terry Dielman emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.
Author: Damodar Gujarati