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- Author: Cheng-Few Lee
- Publisher: Springer
- ISBN-10: 146145896X
- ISBN-13: 9781461458968
- Format: 15.8 x 23.9 x 6.6 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics.
On the Springer page for the book, the solution manual, test bank and powerpoints are available for download.
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Cheng-Few Lee
- Publisher: Springer
- ISBN-10: 146145896X
- ISBN-13: 9781461458968
- Format: 15.8 x 23.9 x 6.6 cm, kieti viršeliai
- Language: English English
Statistics for Business and Financial Economics, 3rd edition is the definitive Business Statistics book to use Finance, Economics, and Accounting data throughout the entire book. Therefore, this book gives students an understanding of how to apply the methodology of statistics to real world situations. In particular, this book shows how descriptive statistics, probability, statistical distributions, statistical inference, regression methods, and statistical decision theory can be used to analyze individual stock price, stock index, stock rate of return, market rate of return, and decision making. In addition, this book also shows how time-series analysis and the statistical decision theory method can be used to analyze accounting and financial data. In this fully-revised edition, the real world examples have been reconfigured and sections have been edited for better understanding of the topics.
On the Springer page for the book, the solution manual, test bank and powerpoints are available for download.
Reviews