Intermediate Statistics and Econometrics: A Comparative Approach
Author: Dale J Poirier
The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses -- giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. Poirier's text provides a thoroughly modern, self-contained, comprehensive, and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model.
Written primarily for advanced undergraduate and graduate students who are pursuing research careers in economics, Intermediate Statistics and Econometrics offers a broad perspective, bringing together a great deal of diverse material. Its comparative approach, emphasis on regression and prediction, and numerous exercises and references provide a solid foundation for subsequent courses in econometrics and will prove a valuable resource to many nonspecialists who want to update their quantitative skills.
The introduction closes with an example of a real-world data set -- the Challenger space shuttle disaster -- that motivates much of the text's theoretical discussion. The ten chapters that follow cover basic concepts, special distributions, distributions of functions of random variables, sampling theory, estimation, hypothesis testing, prediction, and the linear regression model. Appendixes contain a review of matrix algebra, computation, and statistical tables.
Table of Contents:
| Words of Wisdom | ||
| Preface | ||
| 1 | Introduction | |
| 2 | Basic Concepts | |
| 3 | Special Distributions | |
| 4 | Distributions of Functions of Random Variables | |
| 5 | Sampling Theory | |
| 6 | Estimation | |
| 7 | Hypothesis Testing | |
| 8 | Prediction | |
| 9 | The Linear Regression Model | |
| 10 | Other Windows on the World | |
| Appendix A Matrix Algebra Review I | ||
| Appendix B Matrix Algebra Review II | ||
| Appendix C Computation | ||
| Appendix D Statistical Tables | ||
| References | ||
| Author Index | ||
| Subject Index |
Book review: Simply Ming or Foods to Fight Cancer
Practical Merchandising Math
Author: Leo Gafney
It's easier than you think to perform every retail math calculation quickly, accurately, and with confidence
Mathematics is an essential tool for determining every financial arrangement important to a retail business. Whether you're buying merchandise, figuring business expenses, pricing merchandise, or recording transactions, a solid working knowledge of practical calculating procedures is indispensable. But don't worry, we're not talking algebra, trigonometry, or calculus—just simple arithmetic you can perform using a calculator.
Practical Merchandising Math helps you teach yourself all the math you need to succeed in the retail industry. You'll learn to calculate markon, markup, and markdown; plan net sales, purchases, and stock turnover; and determine expenses and gross margin. You'll also learn the meanings of important terms and discover how the four retail areas where math is required—buying, selling, expenses, and record-keeping—are interrelated. This easy-to-use guide
- Covers all financial considerations relevant to costing and pricing merchandise
- Includes sample calculations with solutions
- Features handy, quick-reference charts for standard markon percentages
- Presents material in short sections followed by self-check practice exercises
Don't let math phobia become a roadblock on your way to retail success. Develop the skills you need, quickly and easily, with the help of Practical Merchandising Math.
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