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Author: Yu.V. Prokhorov
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 280
ISBN-13: 3662041723
DOWNLOAD EBOOKA collection of research level surveys on certain topics in probability theory by a well-known group of researchers. The book will be of interest to graduate students and researchers.
Author: Hans Fischer
Publisher: Springer Science & Business Media
Published: 2010-10-08
Total Pages: 415
ISBN-13: 0387878572
DOWNLOAD EBOOKThis study discusses the history of the central limit theorem and related probabilistic limit theorems from about 1810 through 1950. In this context the book also describes the historical development of analytical probability theory and its tools, such as characteristic functions or moments. The central limit theorem was originally deduced by Laplace as a statement about approximations for the distributions of sums of independent random variables within the framework of classical probability, which focused upon specific problems and applications. Making this theorem an autonomous mathematical object was very important for the development of modern probability theory.
Author: Marc Hallin
Publisher: Springer
Published: 2015-04-07
Total Pages: 326
ISBN-13: 3319124420
DOWNLOAD EBOOKThis Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field. Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.
Author: I. Berkes
Publisher: North Holland
Published: 1990
Total Pages: 572
ISBN-13:
DOWNLOAD EBOOKAuthor: Henry McKean
Publisher: Cambridge University Press
Published: 2014-11-27
Total Pages: 487
ISBN-13: 1107053218
DOWNLOAD EBOOKA leading authority sheds light on a variety of interesting topics in which probability theory plays a key role.
Author: Dmitriĭ Sergeevich Silʹvestrov
Publisher: Springer Science & Business Media
Published: 2004
Total Pages: 426
ISBN-13: 9781852337773
DOWNLOAD EBOOKLimit theorems for stochastic processes are an important part of probability theory and mathematical statistics and one model that has attracted the attention of many researchers working in the area is that of limit theorems for randomly stopped stochastic processes.This volume is the first to present a state-of-the-art overview of this field, with many of the results published for the first time. It covers the general conditions as well as the basic applications of the theory, and it covers and demystifies the vast, and technically demanding, Russian literature in detail. A survey of the literature and an extended bibliography of works in the area are also provided.The coverage is thorough, streamlined and arranged according to difficulty for use as an upper-level text if required. It is an essential reference for theoretical and applied researchers in the fields of probability and statistics that will contribute to the continuing extensive studies in the area and remain relevant for years to come.
Author: Bolyai Janos Matematikai Tarsulat
Publisher:
Published: 1975
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Pál Révész
Publisher:
Published: 1984
Total Pages: 574
ISBN-13:
DOWNLOAD EBOOKAuthor: R. R. Bahadur
Publisher: SIAM
Published: 1971-01-01
Total Pages: 48
ISBN-13: 9781611970630
DOWNLOAD EBOOKA discussion of some topics in the theory of large deviations such as moment-generating functions and Chernoff's theorem, and of aspects of estimation and testing in large samples, such as exact slopes of test statistics.
Author: Rick Durrett
Publisher: Cambridge University Press
Published: 2010-08-30
Total Pages:
ISBN-13: 113949113X
DOWNLOAD EBOOKThis classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.
