Series by Bradley Efron
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Buy on Amazon1989 · Peter McCullagh and John Nelder
Generalized Linear Models by Peter McCullagh presents a comprehensive treatment of the statistical framework known as generalized linear models,…
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Buy on AmazonAn introduction to the bootstrap
1993 · Bradley Efron and Jerome Friedman
An introduction to the bootstrap is a 1993 book by Bradley Efron, Jerome Friedman. It is part of the series Monographs on Statistics and Applied…
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Buy on AmazonNonparametric Regression and Generalized Linear Models
1993 · Peter Green and Bernard Silverman
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1994 · Matt Wand and M. Chris Jones
Kernel Smoothing is a 1994 book by Matt Wand, M. Chris Jones. It is part of the series Monographs on Statistics and Applied Probability.
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Buy on AmazonLocal polynomial modelling and its applications
1996 · Jianqing Fan and Irène Gijbels
Local polynomial modelling and its applications is a 1996 book by Jianqing Fan, Irène Gijbels. It is part of the series Monographs on Statistics and…
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Buy on Amazon1982 · Michael Woodroofe
Nonlinear Renewal Theory in Sequential Analysis (CBMS-NSF Regional Conference Series in Applied Mathematics) (CBMS-NSF Regional Conference Series in…
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Buy on Amazon1982 · Bradley Efron
This monograph by Bradley Efron from 1982 explores the nonparametric estimation of bias, variance, and other measures of error. The work focuses on…
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Frequently asked questions
How many books has Bradley Efron written?
We list 2 books by Bradley Efron across 2 series, published between 1982–1996 — each shown in full reading order.
What order should I read Bradley Efron's books?
Read each series in publication order. A good place to start is “Generalized Linear Models.” Open any series above for its complete numbered reading order.
Where can I buy Bradley Efron's books?
Every title links to Amazon from its series page — see our affiliate disclosure in the footer for how that supports the site.
Reading order compiled from author/publisher guidance and verified bibliographic data. Spotted a wrong order, a missing book, or any other mistake? and we'll correct it.
Some summaries adapted from Wikipedia, CC BY-SA 4.0.