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Linear Statistical Models An Applied Approach

ISBN-10: 0534380182
ISBN-13: 9780534380182
Edition: 2nd 1990 (Revised)
List price: $122.95
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Description: The focus of Linear Statistical Models: An Applied Approach, Second Editon, is on the conceptual, concrete, and applied aspects of model building, data analysis, and interpretaion. Without sacrificing depth and breadth of coverage, Bruce L. Bowerman  More...

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Book details

List price: $122.95
Edition: 2nd
Copyright year: 1990
Publisher: Brooks/Cole
Publication date: 3/24/2000
Binding: Paperback
Pages: 1024
Size: 7.25" wide x 9.00" long x 1.25" tall
Weight: 3.432
Language: English

The focus of Linear Statistical Models: An Applied Approach, Second Editon, is on the conceptual, concrete, and applied aspects of model building, data analysis, and interpretaion. Without sacrificing depth and breadth of coverage, Bruce L. Bowerman and Richard T. O'Connell's clear and concise explanantions make the material accessible even to those with limited statistical experience.

Bruce L. Bowerman is a professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 37 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987 Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received and Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O'Connell, Professor Bowerman has written 11 textbooks. These include Forecasting and Time Series: An Applied Approach and Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); The first edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine.

Richard T. O'Connell is an associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 32 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. In 2000 Professor O'Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written seven textbooks. These include Forecasting and Time Series: An Applied Approach and Linear Statistical Models: An Applied Approach. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach.

Introduction to Regression Analysis
Populations, Samples and Probability Distributions
Basic Statistical Inference
The Simple Linear Regression Model
Inference in Linear Regression
The Assumptions Behind Regression Analysis
Matrix Algebra
Multiple Regression I
Multiple Regression II
Some Problems and Remedies
Model Building
Dummy Variables and Advanced Statistical Inferences
Remedies for Violations of the Regression Assumptions
One-Factor Analysis
Two-Factor Analysis I
Two-Factor Analysis II
The Randomized Block and Latin Square Designs
Appendices
Index

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