Introductory Statistical Inference is popular PDF and ePub book, written by Nitis Mukhopadhyay in 2006-02-07, 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, Introductory Statistical Inference can be Read Online from any device for your convenience.
Introductory Statistical Inference Book PDF Summary
Introductory Statistical Inference develops the concepts and intricacies of statistical inference. With a review of probability concepts, this book discusses topics such as sufficiency, ancillarity, point estimation, minimum variance estimation, confidence intervals, multiple comparisons, and large-sample inference. It introduces techniques of two-stage sampling, fitting a straight line to data, tests of hypotheses, nonparametric methods, and the bootstrap method. It also features worked examples of statistical principles as well as exercises with hints. This text is suited for courses in probability and statistical inference at the upper-level undergraduate and graduate levels.
Detail Book of Introductory Statistical Inference PDF
- Author : Nitis Mukhopadhyay
- Release : 07 February 2006
- Publisher : CRC Press
- ISBN : 9781420017403
- Genre : Mathematics
- Total Page : 289 pages
- Language : English
- PDF File Size : 11,8 Mb
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