Introductory Statistical Inference (Statistics: A Series of Textbooks and Monographs)

by Nitis Mukhopadhyay

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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.
  • ISBN10 1420017403
  • ISBN13 9781420017403
  • Publish Date 7 February 2006 (first published 1 January 2006)
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman & Hall/CRC
  • Format eBook
  • Pages 304
  • Language English