tailieunhanh - Relative Distribution Methods in the Social Sciences

his monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods | Statistics for Social Science and Public Policy Mark s. Handcock Martina Morris Relative Distribution Methods in the Social Sciences Statistics for Social Science and Public Policy Advisors . Fienberg D. Lievesley J. Rolph Springer New York Berlin Heidelberg Barcelona Hong Kong London Milan Paris Singapore Tokyo Statistics for Social Science and Public Policy Devlin Fienberg Resnick Roeder Eds. Intelligence Genes and Success Scientists Respond to The Bell Curve. Handcock Morris Relative Distribution Methods in the Social Sciences. Johnson Albert Ordinal Data Modeling. ZeiseFKaye Prove It with Figures Empirical Methods in Law and .