文档介绍：This page intentionally left blankNumerical Methods of StatisticsSecond EditionThis book explains puter software is designed to perform the tasks requiredfor sophisticated statistical analysis. For statisticians, it examines the nitty-putational problems behind statistical methods. For mathematicians -puter scientists, it looks at the application of mathematical tools to statistical prob-lems. The ?rst half of the book offers a basic background in numerical analysisthat emphasizes issues important to statisticians. The next several chapters cover abroad array of statistical tools, such as maximum likelihood and nonlinear regres-sion. Theauthor also treats the application of numerical tools; numerical integrationand random number generation are explained in a uni?ed manner -plementary views of Monte Carlo methods. Each chapter contains exercises thatrange from simple questions to research problems. Most of the examples are panied by demonstration and source code available on the author’s Web in this second edition are demonstrations coded in R, as well as new sectionson linear programming and the Nelder-Mead search F. Monahan is a Professor of Statistics at North Carolina State University,where he joined the faculty in 1978 and has been a professor since 1990. Hisresearch has appeared in putational as well as statistical journals. Heis also the author ofA Primer on Linear Models(2008).CAMBRIDGE SERIES IN STATISTICAL AND PROBABILISTIC MATHEMATICSEditorial BoardZ. Ghahramani, Department of Engineering, University of CambridgeR. Gill, Department of Mathematics, Utrecht UniversityF. Kelly, Statistics Laboratory, University of CambridgeB. D. Ripley, Department of Statistics, University of OxfordS. Ross, Epstein Department of Industrial &Systems Engineering,University of Southern CaliforniaM. Stein, Department of Statistics, University of ChicagoThis series of high-quality upper-division textbooks and expository monographs covers all aspects ofstoch