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Interpreting Economic and Social Data: A Foundation of Descriptive Statistics
 
 
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Interpreting Economic and Social Data: A Foundation of Descriptive Statistics [Hardcover]

Othmar W. Winkler (Author)

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Book Description

3540687203 978-3540687207 August 18, 2009 1
"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.

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Editorial Reviews

Review

From the reviews: “Winkler’s book … covers general issues in the field of economic and social data. … targets all experienced statisticians and econometricians who find it relevant to think carefully about the origin and properties of the data they use. In fact, the ideas presented in the book are the result of several decades of teaching statistics and providing statistical consultancy by the author.” (Peter Winker, Journal of Economics and Statistics, Vol. 230 (3), June, 2010)

From the Back Cover

"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Social and Economic Data" also links statistics with other quantitative fields like accounting and geography. It is aimed at students and professors in business, economics and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.

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