| Dewey Class |
330.015195 |
| Title |
Interpreting Economic and Social Data (EB) : A Foundation of Descriptive Statistics / by Othmar W. Winkler. |
| Author |
Winkler, Othmar W. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Berlin, Heidelberg : Springer , 2009. |
| Physical Details |
xvi, 265 pags,59 illus : online resource. |
| ISBN |
9783540687214 |
| Summary Note |
"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.: |
| Contents note |
Developments in Socio-economic Statistics -- The Basics: From the Facts in Society to Socio-economic Data -- Structure and Nature of Socio-economic Data: the Aggregates -- Ratios in the Social Sciences -- Longitudinal Analysis, Part 1 - Looking to the Past -- Longitudinal Analysis, Part 2 - Looking to the Future -- Longitudinal Analysis, Part 3 - Index Numbers -- Cross - Sectional Analysis in One Dimension -- Cross-sectional Analysis in More than One Dimension -- Socio-economic Statistics and Probability -- Statistics and Accounting -- Statistics and Geography. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
http://dx.doi.org/10.1007/978-3-540-68721-4 |
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