eBook - PDF

Introductory Statistical Inference

Name: Introductory Statistical Inference
ISBN: 9781420017403

Nitis Mukhopadhyay,

304 pages
English
PDF
Available on iOS & Android

eBook - PDF

Introductory Statistical Inference

Nitis Mukhopadhyay,

About this book

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.

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Yes, you can access Introductory Statistical Inference by Nitis Mukhopadhyay in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.