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Author: Dale J. Poirier
Publisher: MIT Press
ISBN: 9780262161497
Category : Business & Economics
Languages : en
Pages : 744
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Book Description
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 Challengerspace 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.
Author: Dale J. Poirier
Publisher: MIT Press
ISBN: 9780262161497
Category : Business & Economics
Languages : en
Pages : 744
Get Book
Book Description
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 Challengerspace 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.
Author: Karl August Fox
Publisher:
ISBN: 9780882759876
Category : Econometrics
Languages : en
Pages : 180
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Book Description
Author: Karl August Fox
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
V.1: An integration of economic theory and statistical methods. v.2. A guide to recent developments and literature 1968-1978.
Author: Douglas Fisher
Publisher: World Scientific
ISBN: 9789810244309
Category : Business & Economics
Languages : en
Pages : 584
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Book Description
This book covers the typical material of an intermediate macroeconomics course at the undergraduate level. The approach is both theoretical and statistical, with the theory being limited to algebraic expressions and the statistics to simple and multiple regression and correlation. The coverage is traditional for the course (being IS-LM in its focus), and the tests are of the consumption function, investment function, demand for money, Phillips curve, etc. Every effort is made to explain the statistics, with some explicit statistical material embedded in the text and several ?how to? sections in the Appendix geared to the popular programs Eviews and Excel. There is also a set of Internet links that instructors can readily access in order to supplement and update the data and to use to provide the data for the students to work the exercises.The book is intended as a text for an intermediate economics course and has been used as such at North Carolina State University. There are full sets of review questions, discussion questions, problems, and computer exercises attached to each chapter, all of which have been classroom-tested. In addition to undergraduates (especially advanced undergraduates), graduate instructors will benefit from the book; and both the professional and the graduate student will find the explanations and applications useful in their work.
Author: Fox Karl A
Publisher:
ISBN: 9780852262863
Category :
Languages : en
Pages : 568
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Book Description
Author: Karl A. Fox
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Hrishikesh D. Vinod
Publisher: World Scientific
ISBN: 9812818855
Category : Business & Economics
Languages : en
Pages : 540
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Book Description
This book explains how to use R software to teach econometrics by providing interesting examples, using actual data applied to important policy issues. It helps readers choose the best method from a wide array of tools and packages available. The data used in the examples along with R program snippets, illustrate the economic theory and sophisticated statistical methods extending the usual regression. The R program snippets are not merely given as black boxes, but include detailed comments which help the reader better understand the software steps and use them as templates for possible extension and modification.
Author: Brett W. Pelham
Publisher: SAGE
ISBN: 1412994985
Category : Computers
Languages : en
Pages : 449
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Book Description
Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
Author: Herschel Knapp
Publisher: SAGE Publications
ISBN: 1506377416
Category : Social Science
Languages : en
Pages : 381
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Book Description
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.
Author: Richard M. Heiberger
Publisher: Springer Science & Business Media
ISBN: 1475742843
Category : Mathematics
Languages : en
Pages : 739
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Book Description
This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.
