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Titlebook: Interpreting Economic and Social Data; A Foundation of Desc Othmar W. Winkler Book 2009 Springer-Verlag Berlin Heidelberg 2009 Aggregation.

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發(fā)表于 2025-3-21 17:44:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Interpreting Economic and Social Data
副標題A Foundation of Desc
編輯Othmar W. Winkler
視頻videohttp://file.papertrans.cn/473/472762/472762.mp4
概述This compendium follows a unique approach: to comprehend the concepts of statistical analysis rather than just applying it.Essential tool for everybody involved in empirical work.Includes supplementar
圖書封面Titlebook: Interpreting Economic and Social Data; A Foundation of Desc Othmar W. Winkler Book 2009 Springer-Verlag Berlin Heidelberg 2009 Aggregation.
描述."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..
出版日期Book 2009
關鍵詞Aggregation; Data Interpretation; Forecasting; Price Measurement; calculus; statistics
版次1
doihttps://doi.org/10.1007/978-3-540-68721-4
isbn_softcover978-3-642-42424-3
isbn_ebook978-3-540-68721-4
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Socio-Economic Statistics and Probability,e of characteristics of data that obviously are populations, or to analyze them with statistical methods based on inference and on the concept of random sampling, is pseudoscience. Uncritical adoption of the stochastic view of socio-economic reality and the indiscriminate use of terms like ‘random v
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Book 2009counting 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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