Essential Statistics, Regression, and Econometrics
Essential Statistics, Regression, and Econometrics provides students with a readable, deep understanding of the key statistical topics they need to understand in an econometrics course. It is innovative in its focus, including real data, pitfalls in data analysis, and modeling issues (including functional forms, causality, and instrumental variables). This book is unusually readable and non-intimidating, with extensive word problems that emphasize intuition and understanding. Exercises range from easy to challenging and the examples are substantial and real, to help the students remember the technique better.
Essential Statistics, Regression, and Econometrics is for an introductory non-calculus based statistics course offered in business/finance/psychology departments for undergraduate students of any major who take a term course in basic Statistics or a year course in Probability and Statistics.
Hardbound, 394 Pages
Published: June 2011
Imprint: Academic Press
"This is an introductory statistics textbook intended for use in either a statistics class that precedes a regression class or a one-term class that encompasses statistics and regression analysis. Complaining of the "fire hose pedagogy" of many introductory statistics courses, Smith (Pomona College) has chosen a focused approach that is intended to provide students with an understanding of the statistical reasoning that is needed for regression analysis. He therefore emphasizes statistical reasoning, real data, pitfalls in data analysis, modeling issues, and word problems." --SciTech Book News
Chapter 1.) Data, Data, Data
Chapter 2.) Displaying Data
Chapter 3.) Descriptive StatisticsChapter 4.) Probability
Chapter 5.) SamplingChapter 6.) Estimation
Chapter 7.) Hypothesis TestingChapter 8.) Simple Regression
Chapter 9.) The Art of Regression AnalysisChapter 10.) Multiple Regression
Chapter 11.) Modeling (Optional)