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Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference PDF Author: D. V. Lindley
Publisher: Cambridge University Press
ISBN: 9780521298667
Category : Mathematics
Languages : en
Pages : 308

Book Description
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 first volume.

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference PDF Author: D. V. Lindley
Publisher: Cambridge University Press
ISBN: 9780521298667
Category : Mathematics
Languages : en
Pages : 308

Book Description
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 first volume.

Introduction to Probability and Statistics from a Bayesian Viewpoint

Introduction to Probability and Statistics from a Bayesian Viewpoint PDF Author: D. V. Lindley
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 259

Book Description


An Introduction to Probability and Statistics

An Introduction to Probability and Statistics PDF Author: Beryl Hume
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 286

Book Description


Introduction to Probability and Statistics from a Bayesian Viewpoint: Probability

Introduction to Probability and Statistics from a Bayesian Viewpoint: Probability PDF Author: Dennis Victor Lindley
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 278

Book Description


Introduction to probability and statistics

Introduction to probability and statistics PDF Author: D. V. Lindley
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 0

Book Description


Introduction to Probability and Statistics

Introduction to Probability and Statistics PDF Author: D. V. Lindley
Publisher:
ISBN:
Category :
Languages : en
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Book Description


Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability PDF Author: D. V. Lindley
Publisher: Cambridge University Press
ISBN: 9780521055628
Category : Mathematics
Languages : en
Pages : 276

Book Description
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 first volume.

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability PDF Author: D. V. Lindley
Publisher: Cambridge University Press
ISBN: 9780521298674
Category : Mathematics
Languages : en
Pages : 272

Book Description
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 first volume.

Introduction to Probability and Statistics (In Two Parts).

Introduction to Probability and Statistics (In Two Parts). PDF Author: Narayan C. Giri
Publisher:
ISBN:
Category :
Languages : en
Pages : 260

Book Description


Inference

Inference PDF Author: Dennis Victor Lindley
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Category : Inference
Languages : en
Pages :

Book Description