Description

Book Synopsis
The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the

Table of Contents
1. Probability; 2. Probability distributions: one variable; 3. Probability distributions: several variables; 4. Stochastic processes.

Introduction to Probability and Statistics from a Bayesian Viewpoint

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    A Paperback by D. V. Lindley

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      View other formats and editions of Introduction to Probability and Statistics from a Bayesian Viewpoint by D. V. Lindley

      Publisher: Cambridge University Press
      Publication Date: 3/20/1980 12:00:00 AM
      ISBN13: 9780521298674, 978-0521298674
      ISBN10: 0521298679
      Also in:
      Probability and statistics

      Description

      Book Synopsis
      The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are written primarily for general mathematicians, rather than for statistical specialists or for natural scientists who need to use statistics in their work. No previous knowledge of probability or statistics is assumed, though familiarity with calculus and linear algebra is required. The first volume takes the theory of probability sufficiently far to be able to discuss the simpler random processes, for example, queueing theory and random walks. The second volume deals with statistics, the theory of making valid inferences from experimental data, and includes an account of the methods of least squares and maximum likelihood; it uses the results of the

      Table of Contents
      1. Probability; 2. Probability distributions: one variable; 3. Probability distributions: several variables; 4. Stochastic processes.

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