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Schaum's Statistics and Econometrics (2E) by Dominick Salvatore, Derrick Reagle
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**About this book :- **

**Schaum's Statistics and Econometrics (2E) ** written by
** Dominick Salvatore, Derrick Reagle **

This book presents a clear and concise introduction to statistics and econometrics. A course in statistics or econometrics is often one of the most useful but also one of the most difficult of the required courses in colleges and universities. The purpose of this book is to help overcome this difficulty by using a problem-solving approach.

**Book Detail :- **
** Title: ** Schaum's Statistics and Econometrics
** Edition: ** Second Edition
** Author(s): ** Dominick Salvatore, Derrick Reagle
** Publisher: ** Schaum's Outline
** Series: **
** Year: ** 2001
** Pages: ** 335
** Type: ** PDF
** Language: ** English
** ISBN: ** 9780071348522,0071348522
** Country: ** US

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**About Author :- **

The author Dominick Salvatore (born 1940) is an American economist and Ph.D., Professor and Chairperson, Department of Economics, Fordham University and an Honorary Professor at Shanghai Finance University, Hunan University, and University of Pretoria, Director of the Global Economic Policy Center and a Fellow of the American Association for the Advancement of Science and New York Academy of Sciences.

The author ** Derrick Reagle **, Ph.D., Assistant Professor of Economics, Fordham University.

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** • Download PDF Schaum's Business Statistics (4E) by Leonard Kazmier **

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**Book Contents :- **
**Schaum's Statistics and Econometrics (2E) ** written by
** Dominick Salvatore, Derrick Reagle **
cover the following topics.
'

1. Introduction

2. Descriptive Statistics

3. Probability and Probability Distributions

4. Statistical Inference: Estimation

5. Statistical Inference: Testing Hypotheses

6. Simple Regression Analysis

7. Multiple Regression Analysis

8. Further Techniques and Applications in Regression Analysis

9. Problems in Regression Analysis

10. Simultaneous-Equations Methods

11. Time-Series Methods

12. Computer Applications in Econometrics

Appendix

**Note:-**

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