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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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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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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 : 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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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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Quantum Probability and Spectral Analysis of Graphs

Quantum Probability and Spectral Analysis of Graphs
  • Author : Akihito Hora,Nobuaki Obata
  • Publisher : Springer Science & Business Media
  • Release : 05 July 2007
GET THIS BOOKQuantum Probability and Spectral Analysis of Graphs

This is the first book to comprehensively cover quantum probabilistic approaches to spectral analysis of graphs, an approach developed by the authors. The book functions as a concise introduction to quantum probability from an algebraic aspect. Here readers will learn several powerful methods and techniques of wide applicability, recently developed under the name of quantum probability. The exercises at the end of each chapter help to deepen understanding.

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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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Fourier Analysis in Probability Theory

Fourier Analysis in Probability Theory
  • Author : Tatsuo Kawata
  • Publisher : Academic Press
  • Release : 17 June 2014
GET THIS BOOKFourier Analysis in Probability Theory

Fourier Analysis in Probability Theory provides useful results from the theories of Fourier series, Fourier transforms, Laplace transforms, and other related studies. This 14-chapter work highlights the clarification of the interactions and analogies among these theories. Chapters 1 to 8 present the elements of classical Fourier analysis, in the context of their applications to probability theory. Chapters 9 to 14 are devoted to basic results from the theory of characteristic functions of probability distributors, the convergence of distribution functions in terms of characteristic functions,

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Counterexamples in Probability and Real Analysis

Counterexamples in Probability and Real Analysis
  • Author : Gary L. Wise,Eric B. Hall
  • Publisher : Oxford University Press
  • Release : 07 October 1993
GET THIS BOOKCounterexamples in Probability and Real Analysis

A counterexample is any example or result that is the opposite of one's intuition or to commonly held beliefs. Counterexamples can have great educational value in illuminating complex topics that are difficult to explain in a rigidly logical, written presentation. For example, ideas in mathematical sciences that might seem intuitively obvious may be proved incorrect with the use of a counterexample. This monograph concentrates on counterexamples for use at the intersection of probability and real analysis, which makes it unique

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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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Introduction to Banach Spaces: Analysis and Probability

Introduction to Banach Spaces: Analysis and Probability
  • Author : Daniel Li,Hervé Queffélec
  • Publisher : Cambridge University Press
  • Release : 31 October 2017
GET THIS BOOKIntroduction to Banach Spaces: Analysis and Probability

This two-volume text provides a complete overview of the theory of Banach spaces, emphasising its interplay with classical and harmonic analysis (particularly Sidon sets) and probability. The authors give a full exposition of all results, as well as numerous exercises and comments to complement the text and aid graduate students in functional analysis. The book will also be an invaluable reference volume for researchers in analysis. Volume 1 covers the basics of Banach space theory, operatory theory in Banach spaces, harmonic

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Probability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis
  • Author : Paul R. Garvey,Stephen A. Book,Raymond P. Covert
  • Publisher : CRC Press
  • Release : 06 January 2016
GET THIS BOOKProbability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements, how to present the analysis to

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