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This book describes in non-technical language some of the basic ideas underlying statistical decision procedures. Recently developed methods of statistical decision are intended to help one select one course of action from a number of alternative courses of action. Hardly any mathematics is used in the book. Some of the topics discussed in everyday language are: prediction, probability, Bayes rule, risk, sequential procedures, mathematical models, and sampling. The reader who desires to learn the technical aspects 'of the subject matter, is referred to a list of the leading texts classified according to subject matter, nature of contents, and mathematical level, given at the end of the book.
π SIMILAR VOLUMES
## Abstract A complete analysis and explicit solution is presented for the problem of linear fractional programming with interval programming constraints whose matrix is of full row rank. The analysis proceeds by simple transformation to canonical form, exploitation of the FarkasβMinkowki lemma and