Statistical Decision Problems: Selected Concepts and by Michael Zabarankin,Stanislav Uryasev

By Michael Zabarankin,Stanislav Uryasev

Statistical determination Problems offers a short and concise advent into the speculation of threat, deviation and mistake measures that play a key position in statistical selection difficulties. It introduces cutting-edge useful selection making via twenty-one case reports from real-life functions. The case stories conceal a large sector of themes and the authors comprise hyperlinks with resource code and information, a truly worthy device for the reader. In its center, the textual content demonstrates how one can use various factors to formulate statistical selection difficulties bobbing up in a number of danger administration functions, equivalent to optimum hedging, portfolio optimization, funds move matching, class, and extra.


The presentation is prepared into 3 components: chosen suggestions of statistical selection concept, statistical selection difficulties, and case reviews with portfolio guard. The textual content is essentially geared toward practitioners within the components of probability administration, selection making, and information. despite the fact that, the inclusion of a good little bit of mathematical rigor renders this monograph an exceptional advent to the idea of common mistakes, deviation, and chance measures for graduate scholars. it may be used as supplementary interpreting for graduate classes together with statistical research, info mining, stochastic programming, monetary engineering, to call a number of. The excessive point of aspect may well serve helpful to utilized mathematicians, engineers, and statisticians drawn to modeling and handling chance in numerous functions.

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