<p>Well known for the clear, inductive nature of its exposition, this reprint volume is an excellent introduction to mathematical probability theory. It may be used as a graduate-level text in one- or two-semester courses in probability for students who are familiar with basic measure theory, or as a supplement in courses in stochastic processes or mathematical statistics. Designed around the needs of the student, this book achieves readability and clarity by giving the most important results in each area while not dwelling on any one subject. Each new idea or concept is introduced from an intuitive, common-sense point of view. Students are helped to understand why things work, instead of being given a dry theorem-proof regime.</p>

Probability.

Science & Math

Breiman, Leo

Mathematics

Addison-Wesley Publishing Company

xi 324p dark blue cloth, large format hardback, first edition, from a university library, front endpaper removed, binding tight, pages clean, a useful library copy

Probability and Stochastic Processes: With a View Toward Applications.

Houghton/Mifflin

<p>The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved from pencil and paper to calculators, this text's use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors' study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.</p>

Classification and Regression Trees (Wadsworth Statistics/Probability)

Chapman and Hall/CRC

Classification and Regression Trees (The Wadsworth Statistics/Probability Series)

Classification and regression trees (The Wadsworth statistics/probability series)

Wadsworth Publishing Co Inc

Probability and Stochastic Processes: With a View Toward Applications

Scientific Pr

Probability (Classics in Applied Mathematics, Series Number 7)

SIAM: Society for Industrial and Applied Mathematics

Classification and Regression Trees

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