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Statistics for Business and Economics

Compendium of Essential Formulas
BookHardcover
EUR54,00

Product description

This 2nd edition compendium contains and explains essential statistical formulas within an economic context. Expanded by more than 100 pages compared to the 1st edition, the compendium has been supplemented with numerous additional practical examples, which will help readers to better understand the formulas and their practical applications. This statistical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice.
The topics presented include, but are not limited to: statistical signs and symbols, descriptive statistics, empirical distributions, ratios and index figures, correlation analysis, regression analysis, inferential statistics, probability calculation, probability distributions, theoretical distributions, statistical estimation methods, confidence intervals, statistical testing methods, the Peren-Clement index, and the usual statistical tables.
Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.
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Details

ISBN/GTIN978-3-662-65845-1
Product TypeBook
BindingHardcover
PublisherSpringer
Publication townHeidelberg
Publication countryGermany
Publishing date19/08/2022
Edition2nd ed. 2022
Pages310 pages
LanguageEnglish
Illustrations21 s/w Abbildungen
Article no.16456645
CatalogsVLB
Data source no.8d22127f898c4fe899fdaaa1a8f21a27
Product groupBU782
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Author

Prof. Dr. rer. pol. Franz W. Peren, Ph.D., is a professor of business administration, specializing in quantitative methods. He has been teaching business mathematics, business statistics and quantitative methods in planning, taxation and controlling within operational and strategic management since 1993, mainly at German universities of applied sciences. He has also taught and conducted research as a visiting professor at the University of Victoria in Victoria, BC, Canada and at Columbia University in New York City, USA.

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