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Analysis and Probability

Analysis and Probability
  • Author : Aurel Spataru
  • Publsiher : Newnes
  • Release : 12 January 2013
  • ISBN : 0124017274
  • Pages : 404 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAnalysis and Probability

Summary:
Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial section will also be useful for those interested in topology, measure theory, real analysis and functional analysis. The second part of the book presents the concepts, methodology and fundamental results of probability theory. Exercises are included throughout the text, not just at the end, to teach each concept fully as it is explained, including presentations of interesting extensions of the theory. The complete and detailed nature of the book makes it ideal as a reference book or for self-study in probability and related fields. Covers a wide range of subjects including f-expansions, Fuk-Nagaev inequalities and Markov triples. Provides multiple clearly worked exercises with complete proofs. Guides readers through examples so they can understand and write research papers independently.


Analysis and Probability

Analysis and Probability
  • Author : Aurel Spataru
  • Publisher : Newnes
  • Release : 12 January 2013
GET THIS BOOKAnalysis and Probability

Probability theory is a rapidly expanding field and is used in many areas of science and technology. Beginning from a basis of abstract analysis, this mathematics book develops the knowledge needed for advanced students to develop a complex understanding of probability. The first part of the book systematically presents concepts and results from analysis before embarking on the study of probability theory. The initial section will also be useful for those interested in topology, measure theory, real analysis and functional

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Analysis and Probability

Analysis and Probability
  • Author : Palle E. T. Jorgensen
  • Publisher : Springer Science & Business Media
  • Release : 17 October 2007
GET THIS BOOKAnalysis and Probability

Combines analysis and tools from probability, harmonic analysis, operator theory, and engineering (signal/image processing) Interdisciplinary focus with hands-on approach, generous motivation and new pedagogical techniques Numerous exercises reinforce fundamental concepts and hone computational skills Separate sections explain engineering terms to mathematicians and operator theory to engineers Fills a gap in the literature

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Real Analysis and Probability

Real Analysis and Probability
  • Author : Robert B. Ash
  • Publisher : Academic Press
  • Release : 03 July 2014
GET THIS BOOKReal Analysis and Probability

Real Analysis and Probability provides the background in real analysis needed for the study of probability. Topics covered range from measure and integration theory to functional analysis and basic concepts of probability. The interplay between measure theory and topology is also discussed, along with conditional probability and expectation, the central limit theorem, and strong laws of large numbers with respect to martingale theory. Comprised of eight chapters, this volume begins with an overview of the basic concepts of the theory

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Geometry, Analysis and Probability

Geometry, Analysis and Probability
  • Author : Jean-Benoît Bost,Helmut Hofer,François Labourie,Yves Le Jan,Xiaonan Ma,Weiping Zhang
  • Publisher : Birkhäuser
  • Release : 26 April 2017
GET THIS BOOKGeometry, Analysis and Probability

This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut. His outstanding contributions to probability theory and global analysis on manifolds have had a profound impact on several branches of mathematics in the areas of control theory, mathematical physics and arithmetic geometry. Contributions by: K. Behrend N. Bergeron S. K. Donaldson J. Dubédat B. Duplantier G. Faltings E. Getzler G. Kings R. Mazzeo J. Millson C. Moeglin W. Müller

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Real Analysis and Probability

Real Analysis and Probability
  • Author : R. M. Dudley
  • Publisher : CRC Press
  • Release : 01 February 2018
GET THIS BOOKReal Analysis and Probability

Written by one of the best-known probabilists in the world this text offers a clear and modern presentation of modern probability theory and an exposition of the interplay between the properties of metric spaces and those of probability measures. This text is the first at this level to include discussions of the subadditive ergodic theorems, metrics for convergence in laws and the Borel isomorphism theory. The proofs for the theorems are consistently brief and clear and each chapter concludes with

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Harmonic Analysis and the Theory of Probability

Harmonic Analysis and the Theory of Probability
  • Author : Salomon Bochner
  • Publisher : Courier Corporation
  • Release : 07 November 2013
GET THIS BOOKHarmonic Analysis and the Theory of Probability

Written by a distinguished mathematician and educator, this classic text emphasizes stochastic processes and the interchange of stimuli between probability and analysis. It also introduces the author's innovative concept of the characteristic functional. 1955 edition.

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Gian-Carlo Rota on Analysis and Probability

Gian-Carlo Rota on Analysis and Probability
  • Author : Jean Dhombres
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2002
GET THIS BOOKGian-Carlo Rota on Analysis and Probability

Gian-Carlo Rota was born in Vigevano, Italy, in 1932. He died in Cambridge, Mas sachusetts, in 1999. He had several careers, most notably as a mathematician, but also as a philosopher and a consultant to the United States government. His mathe matical career was equally varied. His early mathematical studies were at Princeton (1950 to 1953) and Yale (1953 to 1956). In 1956, he completed his doctoral thesis under the direction of Jacob T. Schwartz. This thesis was published as the pa per "Extension theory of differential

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Statistical Independence in Probability, Analysis, and Number Theory

Statistical Independence in Probability, Analysis, and Number Theory
  • Author : Mark Kac
  • Publisher : American Mathematical Soc.
  • Release : 31 December 1959
GET THIS BOOKStatistical Independence in Probability, Analysis, and Number Theory

Professor Kac's monograph is designed to illustrate how simple observations can be made the starting point of rich and fruitful theories and how the same theme recurs in seemingly unrelated disciplines. An elementary but thorough discussion of the game of "heads or tails," including the normal law and the laws of large numbers, is presented in a setting in which a variety of purely analytic results appear natural and inevitable. The chapter "Primes Play a Game of Chance" uses the

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Spectrum Data Analysis & Probability

Spectrum Data Analysis & Probability
  • Author : Spectrum
  • Publisher : CARSONDELLOSA
  • Release : 15 February 2011
GET THIS BOOKSpectrum Data Analysis & Probability

Spectrum Data Analysis and Probability helps students apply essential math skills to everyday life! The lessons, perfect for students in grades 6-8, strengthen math skills by focusing on operations, ratios, probability, graph interpretation, and more! The variety of activities also help extend problem-solving and analytical abilities. It features easy-to-understand directions, is aligned to national and state standards, and also includes a complete answer key. Today, more than ever, students need to be equipped with the essential skills they need for

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Functional Analysis for Probability and Stochastic Processes

Functional Analysis for Probability and Stochastic Processes
  • Author : Adam Bobrowski
  • Publisher : Cambridge University Press
  • Release : 11 August 2005
GET THIS BOOKFunctional Analysis for Probability and Stochastic Processes

This text presents selected areas of functional analysis that can facilitate an understanding of ideas in probability and stochastic processes. Topics covered include basic Hilbert and Banach spaces, weak topologies and Banach algebras, and the theory ofsemigroups of bounded linear operators.

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Harmonic Analysis and the Theory of Probability

Harmonic Analysis and the Theory of Probability
  • Author : Salomon Bochner
  • Publisher : Courier Corporation
  • Release : 27 August 2005
GET THIS BOOKHarmonic Analysis and the Theory of Probability

Nineteenth-century studies of harmonic analysis were closely linked with the work of Joseph Fourier on the theory of heat and with that of P. S. Laplace on probability. During the 1920s, the Fourier transform developed into one of the most effective tools of modern probabilistic research; conversely, the demands of the probability theory stimulated further research into harmonic analysis. Mathematician Salomon Bochner wrote a pair of landmark books on the subject in the 1930s and 40s. In this volume, originally

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Interaction Between Functional Analysis, Harmonic Analysis, and Probability

Interaction Between Functional Analysis, Harmonic Analysis, and Probability
  • Author : Nigel Kalton,Elias Saab,Stephen Montgomery-Smith
  • Publisher : CRC Press
  • Release : 12 October 1995
GET THIS BOOKInteraction Between Functional Analysis, Harmonic Analysis, and Probability

Based on a conference on the interaction between functional analysis, harmonic analysis and probability theory, this work offers discussions of each distinct field, and integrates points common to each. It examines developments in Fourier analysis, interpolation theory, Banach space theory, probability, probability in Banach spaces, and more.

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Spectrum Data Analysis and Probability

Spectrum Data Analysis and Probability
  • Author : Anonim
  • Publisher : Carson-Dellosa Publishing
  • Release : 15 February 2015
GET THIS BOOKSpectrum Data Analysis and Probability

With the help of Spectrum Data Analysis and Probability for grades 6 to 8, children develop problem-solving math skills they can build on. This standards-based workbook focuses on middle school concepts like operations, ratios, probability, graph interpretation, and more. Middle school is known for its challenges—let Spectrum ease some stress. Developed by education experts, the Spectrum Middle School Math series strengthens the important home-to-school connection and prepares children for math success. Filled with easy instructions and rigorous practice, Spectrum Data Analysis

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