Creating Modern Probability


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Creating Modern Probability


Creating Modern Probability

Author: Jan von Plato

language: en

Publisher: Cambridge University Press

Release Date: 1998-01-12


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In this book the author charts the history and development of modern probability theory.

Creating Modern Probability


Creating Modern Probability

Author: Jan von Plato

language: en

Publisher: Cambridge University Press

Release Date: 1994-01-28


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This is the only book to chart the history and development of modern probability theory. It shows how in the first thirty years of this century probability theory became a mathematical science. The author also traces the development of probabilistic concepts and theories in statistical and quantum physics. There are chapters dealing with chance phenomena, as well as the main mathematical theories of today, together with their foundational and philosophical problems. Among the theorists whose work is treated at some length are Kolmogorov, von Mises and de Finetti. The principal audience for the book comprises philosophers and historians of science, mathematicians concerned with probability and statistics, and physicists. The book will also interest anyone fascinated by twentieth-century scientific developments because the birth of modern probability is closely tied to the change from a determinist to an indeterminist world-view.

A Modern Introduction to Probability and Statistics


A Modern Introduction to Probability and Statistics

Author: F.M. Dekking

language: en

Publisher: Springer Science & Business Media

Release Date: 2006-03-30


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Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methods they are taught, or why the methods work. The strength of this book is that it readdresses these shortcomings; by using examples, often from real life and using real data, the authors show how the fundamentals of probabilistic and statistical theories arise intuitively. A Modern Introduction to Probability and Statistics has numerous quick exercises to give direct feedback to students. In addition there are over 350 exercises, half of which have answers, of which half have full solutions. A website gives access to the data files used in the text, and, for instructors, the remaining solutions. The only pre-requisite is a first course in calculus; the text covers standard statistics and probability material, and develops beyond traditional parametric models to the Poisson process, and on to modern methods such as the bootstrap.