Regression for economics / Shahdad Naghshpour.
نوع المادة : نصالسلاسل:Economics and finance collectionالناشر:New York : Business Expert Press, 2012الطبعات:First editionوصف:140 pages : illustrations ; 23 cmنوع المحتوى:- text
- unmediated
- volume
- 1606494058 (pbk)
- 9781606494059 (pbk)
- HB137 N35 2012
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | HB137 N35 2012 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 300100317369 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | HB137 N35 2012 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 300100317785 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
HB137 G6613 1995 v.2 Statistics and econometric models. Volume 2: Testing, confidence regions, model selection, and asymptotic theory | HB137 H36 1998 Handbook of applied economic statistics | HB137 N35 2012 Regression for economics / | HB137 N35 2012 Regression for economics / | HB137 .O33 2012 OECD economic surveys : Euro Area March 2012 / | HB137 .O33 2012 OECD economic surveys : Euro Area March 2012 / | HB137 .O33 2012 OECD economic surveys : Euro Area March 2012 / |
Includes bibliographical references (page [135]) and index.
Foreword -- Acknowledgments -- Introduction -- 1. The concept of regression -- 2. The method of least squares -- 3. Simple linear regression in Excel -- 4. Multiple regression -- 5. Goodness of fit -- 6. Regression coefficients -- 7. Causality: correlation is not causality -- 8. Qualitative variables in regression -- 9. Pitfalls of regression analysis -- Appendix -- Glossary -- Notes -- References -- Index.
The concept of regression was introduced by Sir Francis Galton, but R.A. Fisher provided the statistical theory and application for it for the first time. The 20th century witnessed the spread of regression analysis into every scientific branch. Regression analysis is the most commonly used statistical method in the world. It is used in economics and many other fields. Although few would characterize this technique as simple, regression is in fact both simple and elegant. The complexity that many attribute to regression analysis is often a reflection of their lack of familiarity with the language of mathematics. But regression analysis can be understood even without a mastery of sophisticated mathematical concepts. This book provides the foundation of the regression analysis. All the examples are from economics, and in almost all the examples the real data is used to show the applications of the method.