A numerical empirical bayes procedure for finding an interval estimate

A numerical empirical bayes procedure for finding an interval estimate

by Frederic M. Lord

Part of Research Bulletin -- 71-46

Browse books you can read free on Readfeed

No club is reading this yet — be the first to start one

Start a club free
About
A numerical procedure is outlined for obtaining an interval estimate of a parameter in an empirical Bayes estimation problem. The case where each observed value x has a binomial distribution, conditional on a parameter zeta, is the only case considered. For each x, the parameter estimated is the expected value of zeta given x. The main purpose is to throw some light on the effectiveness of empirical Bayes estimation in samples of various sizes. Illustrative numerical results are presented.

Discuss A numerical empirical bayes procedure for finding an interval estimate with other readers

Join or start a book club for A numerical empirical bayes procedure for finding an interval estimate on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Frequently asked questions

How do I join a book club for A numerical empirical bayes procedure for finding an interval estimate?

Sign up free on Readfeed, then browse public clubs or start your own club with A numerical empirical bayes procedure for finding an interval estimate as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss A numerical empirical bayes procedure for finding an interval estimate with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about A numerical empirical bayes procedure for finding an interval estimate with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.