Cambridge University Press Cambridge Bootstrap Methods and Their Application Book

Master computer-intensive statistical analysis with Bootstrap Methods and Their Application from Cambridge University Press. This text provides a broad and up-to-date coverage of bootstrap methods, utilizing simulation to calculate standard errors, confidence intervals, and significance tests. Designed for various modeling levels, these methods support fully parametric, semiparametric, and completely nonparametric analysis. The book presents a coherent theoretical basis alongside numerous applied examples to ensure practical understanding. It covers essential topics including stratified data, finite populations, censored and missing data, and linear, nonlinear, and smooth modeling applications. This volume is a key resource within the Cambridge Series in Statistical and Probabilistic Mathematics.