Introduction to Optimization Methods and their Application in Statistics is popular PDF and ePub book, written by B. Everitt in 2012-12-06, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Introduction to Optimization Methods and their Application in Statistics can be Read Online from any device for your convenience.
Introduction to Optimization Methods and their Application in Statistics Book PDF Summary
Optimization techniques are used to find the values of a set of parameters which maximize or minimize some objective function of interest. Such methods have become of great importance in statistics for estimation, model fitting, etc. This text attempts to give a brief introduction to optimization methods and their use in several important areas of statistics. It does not pretend to provide either a complete treatment of optimization techniques or a comprehensive review of their application in statistics; such a review would, of course, require a volume several orders of magnitude larger than this since almost every issue of every statistics journal contains one or other paper which involves the application of an optimization method. It is hoped that the text will be useful to students on applied statistics courses and to researchers needing to use optimization techniques in a statistical context. Lastly, my thanks are due to Bertha Lakey for typing the manuscript.
Detail Book of Introduction to Optimization Methods and their Application in Statistics PDF
- Author : B. Everitt
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9789400931534
- Genre : Science
- Total Page : 87 pages
- Language : English
- PDF File Size : 9,9 Mb
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