| 書目名稱 | Relative Distribution Methods in the Social Sciences |
| 編輯 | Mark S. Handcock,Martina Morris |
| 視頻video | http://file.papertrans.cn/827/826180/826180.mp4 |
| 叢書名稱 | Statistics for Social and Behavioral Sciences |
| 圖書封面 |  |
| 描述 | In social science research, differences among groups or changes over time are a common focus of study. While means and variances are typically the basis for statistical methods used in this research, the underlying social theory often implies properties of distributions that are not well captured by these summary measures. Examples include the current controversies regarding growing inequality in earnings, racial diferences in test scores, socio-economic correlates of birth outcomes, and the impact of smoking on survival and health. The distributional differences that animate the debates in these fields are complex. They comprise the usual mean-shifts and changes in variance, but also more subtle comparisons of changes in the upper and lower tails of distributions. Survey and census data on such attributes contain a wealth of distributional information, but traditional methods of data analysis leave much of this information untapped. In this monograph, we present methods for full comparative distributional analysis. The methods are based on the relative distribution, a nonparametric complete summary of the information required for scale--invariant comparisons between two distributi |
| 出版日期 | Textbook 1999 |
| 關(guān)鍵詞 | Census; Quantile; Variance; calculus; data analysis; statistical method |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b97852 |
| isbn_softcover | 978-1-4757-7256-2 |
| isbn_ebook | 978-0-387-22658-3Series ISSN 2199-7357 Series E-ISSN 2199-7365 |
| issn_series | 2199-7357 |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機(jī)版|小黑屋|
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