Analysis 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 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.

Produk Detail:

  • Author : Aurel Spataru
  • Publisher : Newnes
  • Pages : 404 pages
  • ISBN : 0124017274
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAnalysis and Probability

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

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

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

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

Inequalities in Analysis and Probability

Inequalities in Analysis and Probability
  • Author : Odile Pons
  • Publisher : World Scientific
  • Release : 03 November 2016
GET THIS BOOKInequalities in Analysis and Probability

The book is aimed at graduate students and researchers with basic knowledge of Probability and Integration Theory. It introduces classical inequalities in vector and functional spaces with applications to probability. It also develops new extensions of the analytical inequalities, with sharper bounds and generalizations to the sum or the supremum of random variables, to martingales and to transformed Brownian motions. The proofs of many new results are presented in great detail. Original tools are developed for spatial point processes and

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

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

Frontiers in Analysis and Probability

Frontiers in Analysis and Probability
  • Author : Nalini Anantharaman,Ashkan Nikeghbali,Michael Th. Rassias
  • Publisher : Springer Nature
  • Release : 23 December 2020
GET THIS BOOKFrontiers in Analysis and Probability

The volume presents extensive research devoted to a broad spectrum of mathematical analysis and probability theory. Subjects discussed in this Work are those treated in the so-called Strasbourg–Zürich Meetings. These meetings occur twice yearly in each of the cities, Strasbourg and Zürich, venues of vibrant mathematical communication and worldwide gatherings. The topical scope of the book includes the study of monochromatic random waves defined for general Riemannian manifolds, notions of entropy related to a compact manifold of

Fractals in Probability and Analysis

Fractals in Probability and Analysis
  • Author : Christopher J. Bishop,Yuval Peres
  • Publisher : Cambridge University Press
  • Release : 22 December 2016
GET THIS BOOKFractals in Probability and Analysis

This is a mathematically rigorous introduction to fractals which emphasizes examples and fundamental ideas. Building up from basic techniques of geometric measure theory and probability, central topics such as Hausdorff dimension, self-similar sets and Brownian motion are introduced, as are more specialized topics, including Kakeya sets, capacity, percolation on trees and the traveling salesman theorem. The broad range of techniques presented enables key ideas to be highlighted, without the distraction of excessive technicalities. The authors incorporate some novel proofs which

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

Data Analysis & Probability - Task Sheets Gr. 6-8

Data Analysis & Probability - Task Sheets Gr. 6-8
  • Author : Tanya Cook
  • Publisher : Classroom Complete Press
  • Release : 01 December 2009
GET THIS BOOKData Analysis & Probability - Task Sheets Gr. 6-8

For grades 6-8, our State Standards-based resource meets the data analysis & probability concepts addressed by the NCTM standards and encourages your students to learn and review the concepts in unique ways. Each task sheet is organized around a central problem taken from real-life experiences of the students. The pages of this resource contain a variety of content and levels of difficulty so as to provide students with different learning opportunities. Included in our resource are activities to help students learn

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.