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Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation – Free eBook

eBook details

  • Authors: Bruce Bowerman, Emily Murphree
  • File Size: 9 MB
  • Format: PDF
  • Length: 220 Pages
  • Publisher: Business Expert Press
  • Publication Date: October 5, 2014
  • Language: English
  • ASIN:  B00OA4PGFG
  • ISBN-10: 1606499580, 1606499505,1606499513
  • ISBN-13: 9781606499580, 9781606499504, 9781606499511

Original price was: $45.00.Current price is: $24.99.

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Author(s)

Bruce L. Bowerman

Bruce L. Bowerman

Dr. Bruce L. Bowerman (late) was a professor of decision sciences at Miami University in Oxford, Ohio. He got his Ph.D. in statistics from Iowa State University in 1974, and had over 40 years of experience teaching basic statistics, time series forecasting, regression analysis, survey sampling, and design of experiments to both graduate and undergraduate students. In 1987, Dr. Bowerman got an Outstanding Teaching award from the Miami University, and in 1992 he received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Bruce has written over 15 textbooks. These include Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); Forecasting and Time Series: An Applied Approach; and Linear Statistical Models: An Applied Approach. He also published a number of articles in time series forecasting, applied stochastic processes, and statistical education.

Emily Murphree

Emily Murphree

Dr. Emily S. Murphree is an associate professor of statistics in the Department of Mathematics and Stats at Miami University in Oxford, Ohio. She earned her Ph.D. in statistics from the University of North Carolina and does research in applied probability. Dr. Murphree received Miami’s College of Arts and Science Distinguished
Educator Award in 1998. In 1996, she was named one of Oxford’s Citizens of the Year for organizing annual Sonia Kovalevsky Mathematical Sciences Days for area high school girls and for her work with Habitat for Humanity. Her enthusiasm for hiking in wilderness areas of the West motivates her current research on estimating animal population sizes.

Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation (PDF) is a brief and innovative ebook that gives a complete presentation of applied regression analysis in about one-half the space of competing books. With only the modest prerequisite of a fundamental (non-calculus) statistics course, this ebook is suitable for the widest possible audience including seniors,  college juniors, and first-year graduate students in statistics and business, along with professionals in business and industry. The ebook can accommodate this wide audience because of the unique, integrative approach taken to the teaching of regression analysis. While other regression ebooks cover regression in four chapters, starting with a statistical review, followed by chapters on simple linear regression, matrix algebra, and multiple regression, this ebook introduces regression. It includes both simple linear regression and multiple regression in a single cohesive chapter. This is made possible through a practical, integrative discussion of the two techniques.

Moreover, in the same chapter (Chapter Two), basic statistical and matrix algebra concepts are introduced as needed to facilitate instruction. This approach prevents the needless repetition that is frequently found in longer treatments of the subject while bringing a collective focus to students of extensively varying mathematical backgrounds.

NOTE: The product only includes the ebook, Regression Analysis: Unified Concepts, Practical Applications, Computer Implementation, in PDF. No access codes are included.

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