TY - BOOK ID - 78089927 TI - Bootstrap methods and their application AU - Davison, Anthony Christopher AU - Hinkley, D.V. PY - 1997 SN - 1107263816 1107266386 1107263263 1107267897 1107264340 1107266823 1107269903 0511802846 9781107266827 0521573912 9780521573917 0521574714 9780521574716 9781107263260 9780511802843 PB - Cambridge Cambridge University Press DB - UniCat KW - Bootstrap (Statistics) KW - Distribution (Probability theory) KW - Sampling (Statistics) KW - Bootstrap (Statistique) KW - Mathematical statistics UR - https://www.unicat.be/uniCat?func=search&query=sysid:78089927 AB - Bootstrap methods are computer-intensive methods of statistical analysis, which use simulation to calculate standard errors, confidence intervals, and significance tests. The methods apply for any level of modelling, and so can be used for fully parametric, semiparametric, and completely nonparametric analysis. This 1997 book gives a broad and up-to-date coverage of bootstrap methods, with numerous applied examples, developed in a coherent way with the necessary theoretical basis. Applications include stratified data; finite populations; censored and missing data; linear, nonlinear, and smooth regression models; classification; time series and spatial problems. Special features of the book include: extensive discussion of significance tests and confidence intervals; material on various diagnostic methods; and methods for efficient computation, including improved Monte Carlo simulation. Each chapter includes both practical and theoretical exercises. S-Plus programs for implementing the methods described in the text are available from the supporting website. ER -