Book by Bernardo, J. M., Degroot, Morris H., Lindley, D. V.

Bayesian Statistics 2: Proceedings of the Second Valencia International Meeting : September 6/10, 1983

Science & Math

DeGroot, Morris H.

Lindley, D. V.

Bernardo, J. M.

Mathematics

Elsevier Science Ltd.

A lively and informal introduction to the role of uncertainty and probability in people's lives from an everyday perspective From television game shows and gambling techniques to weather forecasting and the financial markets, virtually every aspect of modern life involves situations in which the outcomes are uncertain and of varying qualities. But as noted statistician Dennis Lindley writes in this distinctive text, "We want you to face up to uncertainty, not hide it away under false concepts, but to understand it and, moreover, to use the recent discoveries so that you can act in the face of uncertainty more sensibly than would have been possible without the skill." Accessibly written at an elementary level, this outstanding text examines uncertainty in various everyday situations and introduces readers to three rules--craftily laid out in the book--that prove uncertainty can be handled with as much confidence as ordinary logic. Combining a concept of utility with probability, the book insightfully demonstrates how uncertainty can be measured and used in everyday life, especially in decision-making and science. With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and: * Explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods * Explores what has been learned in the twentieth century about uncertainty * Provides a logical, sensible method for acting in the face of uncertainty * Presents vignettes of great discoveries made in the twentieth century * Shows readers how to discern if another person--whether a lawyer, politician, scientist, or journalist--is talking sense, posing the right questions, or obtaining sound answers Requiring only a basic understanding of mathematical concepts and operations, Understanding Uncertainty is useful as a text for all students who have probability or statistics as part of their course, even at the most introductory level.

Understanding Uncertainty

Wiley-Interscience

This book is about the logical processes that need to be used in arriving at a decision. The subject is discussed from a scientific viewpoint to see what basic principles there are in any choice of action. Addressed to anyone interested in decision making who is prepared to take the trouble to follow a reasoned argument.. Addressed to business executives, soldiers, politicians, scientists. In particular, addressed to university students in any discipline.

Making Decisions

John Wiley&Sons

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

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.

Cambridge University Press

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

xii 292p red boards, blue dustjacket (protected), excellent fresh copy, first edition

Introduction to Probability and Statistics from a Bayesian Viewpoint

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

The latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.

New Cambridge Statistical Tables

Scott, W. F.

A study of those statistical ideas that use a probability distribution over parameter space. The first part describes the axiomatic basis in the concept of coherence and the implications of this for sampling theory statistics. The second part discusses the use of Bayesian ideas in many branches of statistics.

Bayesian Statistics, A Review (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 2)

Society for Industrial and Applied Mathematics

See the best price to sell, buy, or rent books by Lindley, D. V.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Lindley, D. V.

See the best price to sell, buy, or rent books by Lindley, D. V.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Bayesian Statistics 2: Proceedings of the Second Valencia International Meeting : September 6/10, 1983

Understanding Uncertainty

Making Decisions

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

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

Introduction to Probability and Statistics from a Bayesian Viewpoint

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

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

New Cambridge Statistical Tables

Bayesian Statistics, A Review (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 2)