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Statistics for business and economic...

Peren, Franz W.

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Statistics for business and economics = compendium of essential formulas /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistics for business and economics/ by Franz W. Peren.
其他題名:	compendium of essential formulas /
作者:	Peren, Franz W.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2025.,
面頁冊數:	xviii, 344 p. :ill., digital ;24 cm.
內容註:	Statistical Signs and Symbols -- Descriptive Statistics -- Inferential Statistics -- Probability Calculation -- Statistical Tables -- Case Study: Regression Analysis Using Dummy Variables in R.
Contained By:	Springer Nature eBook
標題:	Commercial statistics. -
電子資源:	https://doi.org/10.1007/978-3-662-71220-7
ISBN:	9783662712207

Statistics for business and economics = compendium of essential formulas /
Peren, Franz W.

Statistics for business and economicscompendium of essential formulas /[electronic resource] :by Franz W. Peren. - Third edition. - Berlin, Heidelberg :Springer Berlin Heidelberg :2025. - xviii, 344 p. :ill., digital ;24 cm.

Statistical Signs and Symbols -- Descriptive Statistics -- Inferential Statistics -- Probability Calculation -- Statistical Tables -- Case Study: Regression Analysis Using Dummy Variables in R.

This 3rd edition compendium contains and explains essential statistical formulae in an economic context. The compendium has been enhanced with numerous additional practical examples to help readers better understand the formulas and their practical applications. The statistical formulary is presented in a practical, clear and understandable manner, as required for meaningful and relevant application in global business as well as in academic and business practice. New content includes explanations on the use of so-called dummy variables, which are useful because of their operational relevance in practice, especially in financial statistics. Topics covered include: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and indexes, correlation analysis, regression analysis, inferential statistics, probability, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and standard statistical tables. The scope of the book makes it an indispensable reference and essential reading for undergraduate and postgraduate students, as well as managers, academics and lecturers in business, politics and economics.

ISBN: 9783662712207

Standard No.: 10.1007/978-3-662-71220-7doiSubjects--Topical Terms:

577934
Commercial statistics.

LC Class. No.: HF1017

Dewey Class. No.: 330.015195

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505 0 $a Statistical Signs and Symbols -- Descriptive Statistics -- Inferential Statistics -- Probability Calculation -- Statistical Tables -- Case Study: Regression Analysis Using Dummy Variables in R.
520 $a This 3rd edition compendium contains and explains essential statistical formulae in an economic context. The compendium has been enhanced with numerous additional practical examples to help readers better understand the formulas and their practical applications. The statistical formulary is presented in a practical, clear and understandable manner, as required for meaningful and relevant application in global business as well as in academic and business practice. New content includes explanations on the use of so-called dummy variables, which are useful because of their operational relevance in practice, especially in financial statistics. Topics covered include: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and indexes, correlation analysis, regression analysis, inferential statistics, probability, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and standard statistical tables. The scope of the book makes it an indispensable reference and essential reading for undergraduate and postgraduate students, as well as managers, academics and lecturers in business, politics and economics.
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