Showing papers by "Robert Tibshirani published in 1993"
Book•
01 Jan 1993TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Abstract: This article presents bootstrap methods for estimation, using simple arguments. Minitab macros for implementing these methods are given.
37,183 citations
AT&T1
TL;DR: In this paper, a class of regression and generalized regression models in which the coefficients are allowed to vary as smooth functions of other variables is explored and general algorithms are presented for estimating the models flexibly and some examples are given.
Abstract: We explore a class of regression and generalized regression models in which the coefficients are allowed to vary as smooth functions of other variables. General algorithms are presented for estimating the models flexibly and some examples are given. This class of models ties together generalized additive models and dynamic generalized linear models into one common framework. When applied to the proportional hazards model for survival data, this approach provides a new way of modelling departures from the proportional hazards assumption
1,509 citations