Introduction to Statistical Inference is popular PDF and ePub book, written by Jack C. Kiefer in 2012-12-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Introduction to Statistical Inference can be Read Online from any device for your convenience.
Introduction to Statistical Inference Book PDF Summary
This book is based upon lecture notes developed by Jack Kiefer for a course in statistical inference he taught at Cornell University. The notes were distributed to the class in lieu of a textbook, and the problems were used for homework assignments. Relying only on modest prerequisites of probability theory and cal culus, Kiefer's approach to a first course in statistics is to present the central ideas of the modem mathematical theory with a minimum of fuss and formality. He is able to do this by using a rich mixture of examples, pictures, and math ematical derivations to complement a clear and logical discussion of the important ideas in plain English. The straightforwardness of Kiefer's presentation is remarkable in view of the sophistication and depth of his examination of the major theme: How should an intelligent person formulate a statistical problem and choose a statistical procedure to apply to it? Kiefer's view, in the same spirit as Neyman and Wald, is that one should try to assess the consequences of a statistical choice in some quan titative (frequentist) formulation and ought to choose a course of action that is verifiably optimal (or nearly so) without regard to the perceived "attractiveness" of certain dogmas and methods.
Detail Book of Introduction to Statistical Inference PDF
- Author : Jack C. Kiefer
- Release : 06 December 2012
- Publisher : Springer Science & Business Media
- ISBN : 9781461395782
- Genre : Mathematics
- Total Page : 342 pages
- Language : English
- PDF File Size : 11,9 Mb
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