Probability

Probability: an introduction with statistical applications

by Kinney, John J.

Type Book
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Praise for the First Edition""This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory."" - The StatisticianThoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction …

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Title Statements

  • Full title :Probability : an introduction with statistical applications / John Kinney, Colorado Springs, CO.

Summary

Praise for the First Edition""This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory."" - The StatisticianThoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an introduction to statistics with accessible coverage of reliability, acceptance sampling, confidence intervals, h.

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Edition Statements

  • Publication Date:2015
  • Edition:Second edition

Publication Statements

  • Publisher(s):John Wiley & Sons, Inc
  • Place of Publication:Hoboken, New Jersey
  • Language:eng
  • Publication Date:2015

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781118947104, 111894710X, 1118947088, 9781118947081
  • oclc:ocn880672246
  • LC Classification:QA273
  • Dewey Decimal:519.2

Table of Contents

Sample spaces and probability -- Discrete random variables and probability distributions -- Continuous random variables and probability distributions -- Functions of random variables; generating functions; statistical applications -- Bivariate probability distributions -- Recursions and Markov chains -- Some challenging problems.

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