(Paperback)

The Sunday Times Business Bestseller now in paperback

(Hardback, Main)

An entertaining exploration of the misuse of mathematics in our everyday lives that shows how we can combat the rising tide of misinformation.

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(Paperback)

(Hardback)

(Paperback)

Marketing Models are neither just Statistics nor just Marketing, but a synthesis of the information sources creating a cohesive predictive system. If you're looking for a book that talks about the logic of marketing and the design of statistical models in an integrated way to increase model accuracy and improve business profits, then this book was written for you.

(Hardback, 2nd edition)

This second edition has been prepared for readers who have taken at least one intermediate-level course in applied statistics in which the basic principles of factorial analysis of variance and multiple regression were discussed.

(Paperback)

In a follow up to his "Ferman's Last Theorem", the author shows readers how to maximize or minimize chance, depending on the circumstance, analyzing luck from a statistician's perspective.

(Paperback)

What did it mean to be reasonable in the Age of Reason This title demonstrates how this view profoundly shaped the internal development of probability theory and defined its applications.

(Paperback)

What are your chances of dying on your next flight, being called for jury duty, or winning the lottery We all encounter probability problems in our everyday lives. This title challenges us to think creatively about the laws of probability as they apply in playful, sometimes deceptive, ways to a fascinating array of speculative situations.

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(Hardback)

(Hardback)

Using the statistical techniques discussed, a sound simulation model can be built and adequately tested before implementation.

The book also shows how simulation results can be generalized by discussing in full the growing emphasis on simulation metamodeling.

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(Hardback)

(Hardback)

Offers a systematic and detailed treatment of the numerical solution of Markov chains. This book explores various aspects of numerically computing solutions of Markov chains, especially when the state is huge. It examines many different numerical computing methods - direct, single-and multi-vector iterative, and projection methods.

(Paperback)

Using game theory and examples of actual games people play, this work shows how the elements of chance and rules underlie all that happens in the universe, from genetic behavior through economic growth to the composition of music. It also presents games derived from scientific models for equilibrium, selection, growth, and the composition of RNA.

(Hardback)

Random matrix theory, both as an application and as a theory, has evolved rapidly over the years. This title chronicles these developments, emphasizing log-gases as a physical picture. It covers topics such as beta ensembles and Jack polynomials. It develops the application and theory of Gaussian and circular ensembles of random matrix theory.

(Paperback)

In this classic of statistical mathematical theory, Harald Cramer joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory.

(Hardback)

Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form.

(Paperback)

Using only the very elementary framework of finite probability spaces, this book treats a number of topics in the modern theory of stochastic processes. This is made possible by using a small amount of Abraham Robinson's nonstandard analysis and not attempting to convert the results into conventional form.

(Paperback)

Because estimation involves inferring information about an unknown quantity on the basis of available data, the selection of an estimator is influenced by its ability to perform well under the conditions that are assumed to underlie the data. Since these conditions are never known exactly, the estimators chosen must be robust; i.e., they must be ab

(Hardback)

(Paperback)

The description for this book, Stationary Processes and Prediction Theory. (AM-44), will be forthcoming.