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Limit Theorems of Probability Theory

Posted By: AvaxGenius
Limit Theorems of Probability Theory

Limit Theorems of Probability Theory by Yu. V. Prokhorov, V. Statulevičius
English | PDF | 2000 | 280 Pages | ISBN : 3540570454 | 24 MB

This book consists of five parts written by different authors devoted to various problems dealing with probability limit theorems. The first part, "Classical-Type Limit Theorems for Sums ofIndependent Random Variables" (V.v. Petrov), presents a number of classical limit theorems for sums of independent random variables as well as newer related results.

Limit Theorems and Some Applications in Statistical Physics

Posted By: AvaxGenius
Limit Theorems and Some Applications in Statistical Physics

Limit Theorems and Some Applications in Statistical Physics by Boris Nahapetian
English | PDF | 1991 | 246 Pages | ISBN : 3322934330 | 10.7 MB

During the recent years the interest in limit theorems for dependent random variables has considerably grown being stimulated both by requirements of probability theory and by many applied disciplines. A special place among such disciplines belongs to statistical physics whose mathematical apparatus for a long time has been developing regardless the probability theory. However recently a process of mutual understanding between the specialists of this two fields started to develop. This resulted in a burst of activity for the benefit of both the subjects. For instance, the concept of Gibbs random field which has originated in statistical physics became a powerful stimulus for development of the theory of random fields while the Gibbsian fields themselves turned out to be excellent object for application of many general probabilistic results.

Large Sample Techniques for Statistics (Repost)

Posted By: AvaxGenius
Large Sample Techniques for Statistics (Repost)

Large Sample Techniques for Statistics by Jiming Jiang
English | PDF | 2010 | 611 Pages | ISBN : 1441968261 | 4.6 MB

This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and applications in entertaining ways.