Showing posts with label Math and Stat. Show all posts
Showing posts with label Math and Stat. Show all posts

Monday, 12 March 2012

Fundamentals of Geometry

Fundamentals of Geometry
Publisher: Oleg A. Belyaev | ISBN: N\A | edition 2007 | PDF | 256 pages | 19 mb

Following Hilbert, in our treatment of neutral geometry (called also absolute geometry and composed of facts true in both Euclidean and Lobachevskian geometries) we define points, lines, and planes as mathematical objects with the property that these objects, as well as some objects formed from them, like angles and triangles, satisfy the axioms listed in sections 1 through 4 of this chapter. We shall denote points, lines and planes by capital Latin A,B,C, . . .,
small Latin a, b, c, . . ., and small Greek α, β, γ, . . . letters respectively, possibly with subscripts...

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Schaum's Outline of Probability and Statistics, 3/E

Schaum's Outline of Probability and Statistics, 3/E
Publisher: McGraw-Hill | pages: 432 | 2008 | ISBN: 0071544259 | PDF | 11 mb

This theme is continued in the third edition in which the book has been reformatted and a chapter on Bayesian methods has been added. In recent years, the Bayesian paradigm has come to enjoy increased popularity and impact in such areas as economics, environmental science, medicine, and finance. Since Bayesian statistical analysis is highly computational, it is gaining even wider acceptance with advances in computer technology. We feel that an introduction to the basic principles of Bayesian data analysis is therefore in order and is consistent with Professor Murray R. Spiegel’s main purpose in writing the original text—to present a modern introduction to probability and statistics using a background of calculus.

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Sunday, 17 April 2011