TY - JOUR
AB - BOOK REVIEWS 111 Nonetheless, fo r p ersons i nvolved with q uantitative an alysis fo r t he a pplica- estimators, methods o f e stimation, h ypothesis t esting, in terval estimatio n, a nd tion area s emphasized by Berth ouex an d Brown , th is bo ok wou ld be a nice decision-theory ap proach to in ference. The las t four ch apters, mo re than h alf of th e b ook, pr ovide a more modern perspective : Ba yesian inference (includ- desktop refere nce. ing emp irical Bayes), nonparametric an d robu st i nference, computationally intensive meth ods, a nd g eneralized lin ear m odels (GLM s). T he c omputational REFERENCES methods in clude Mo nte Ca rlo, permut ation and rand omization tests, cross- validation, jack knife meth ods, b ootstrapping, and Gib bs sam pling. T he l ast El-Shaarawi, A., and Pi egorsch, W . (ed s.) (2 002), Encyclopedia of E nviron- metrics, V ols. 1– 4, W est Sussex, UK: Wiley. section i n th e c hapter o n co mputations e ven d iscusses computer so ftware. Gatliffe, T. (1 
TI - Modern Applied Statistics With S
JF - Technometrics
DO - 10.1198/tech.2003.s33
DA - 2003-02-01
UR - https://www.deepdyve.com/lp/taylor-francis/modern-applied-statistics-with-s-8Ggp0WcBiA
SP - 111
EP - 111
VL - 45
IS - 1
DP - DeepDyve
ER -