tailieunhanh - Statistics for Social Science and Public Policy

This book was written for graduate students and researchers in statistics and the social sciences. Our intent in writing the book was to bridge the gap between recent theoretical developments in statistics and the application of these methods to ordinal data. Ordinal data are the most common form of data acquired in the social sciences, but the analysis of such data is generally performed without regard to their ordinal nature. | Statistics for Social Science and Public Policy Advisors s. E. 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. Finkelstein Levin Statistics for Lawyers. Handcock Morris Relative Distribution Methods in the Social Sciences. Johnson Albert Ordinal Data Modeling. Morton Rolph Public Policy and Statistics Case Studies from RAND. Zeisel Kaye Prove It with Figures Empirical Methods in Law and Litigation. Gastwirth Ed. Statistical Science in the Courtroom. Valen E. Johnson Janies H. Albert Ordinal Data Modeling With 73 illustrations .

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