November 25, 2020

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Analysis and Probability

Analysis and Probability
Author : Aurel Spataru
Publisher : Newnes
Release Date : 2013-01-12
Category : Mathematics
Total pages :404
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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.

Real Analysis and Probability

Real Analysis and Probability
Author : R. M. Dudley
Publisher : Cambridge University Press
Release Date : 2002-10-14
Category : Mathematics
Total pages :555
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This classic text offers a clear exposition of modern probability theory.

Analysis and Probability

Analysis and Probability
Author : Palle E. T. Jorgensen
Publisher : Springer Science & Business Media
Release Date : 2007-10-17
Category : Mathematics
Total pages :280
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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 Date : 2014-07-03
Category : Mathematics
Total pages :494
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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 of measure and integration, followed by a presentation of various applications of the basic integration theory. The reader is then introduced to functional analysis, with emphasis on structures that can be defined on vector spaces. Subsequent chapters focus on the connection between measure theory and topology; basic concepts of probability; and conditional probability and expectation. Strong laws of large numbers are also examined, first from the classical viewpoint, and then via martingale theory. The final chapter is devoted to the one-dimensional central limit problem, paying particular attention to the fundamental role of Prokhorov's weak compactness theorem. This book is intended primarily for students taking a graduate course in probability.

Real Analysis and Probability

Real Analysis and Probability
Author : Robert P. Ash
Publisher : Academic Press
Release Date : 2014-05-10
Category : Mathematics
Total pages :44
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Real Analysis and Probability: Solutions to Problems presents solutions to problems in real analysis and probability. Topics covered range from measure and integration theory to functional analysis and basic concepts of probability; the interplay between measure theory and topology; conditional probability and expectation; the central limit theorem; and strong laws of large numbers in terms of martingale theory. Comprised of eight chapters, this volume begins with problems and solutions for the theory of measure and integration, followed by various applications of the basic integration theory. Subsequent chapters deal with functional analysis, paying particular attention to structures that can be defined on vector spaces; the connection between measure theory and topology; basic concepts of probability; and conditional probability and expectation. Strong laws of large numbers are also taken into account, first from the classical viewpoint, and then via martingale theory. The final chapter is devoted to the one-dimensional central limit problem, with emphasis on the fundamental role of Prokhorov's weak compactness theorem. This book is intended primarily for students taking a graduate course in probability.

Introduction to Banach Spaces: Analysis and Probability

Introduction to Banach Spaces: Analysis and Probability
Author : Daniel Li,Hervé Queffélec
Publisher : Cambridge University Press
Release Date : 2017-10-31
Category : Mathematics
Total pages :478
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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 analysis and probability. The authors also provide an annex devoted to compact Abelian groups. Volume 2 focuses on applications of the tools presented in the first volume, including Dvoretzky's theorem, spaces without the approximation property, Gaussian processes, and more. In volume 2, four leading experts also provide surveys outlining major developments in the field since the publication of the original French edition.

Gian-Carlo Rota on Analysis and Probability

Gian-Carlo Rota on Analysis and Probability
Author : Jean Dhombres
Publisher : Springer Science & Business Media
Release Date : 2002-12-06
Category : Mathematics
Total pages :382
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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 operators I", the first paper reprinted in this volume. Rota's early work was in analysis, more specifically, in operator theory, differ ential equations, ergodic theory, and probability theory. In the 1960's, Rota was motivated by problems in fluctuation theory to study some operator identities of Glen Baxter (see [7]). Together with other problems in probability theory, this led Rota to study combinatorics. His series of papers, "On the foundations of combi natorial theory", led to a fundamental re-evaluation of the subject. Later, in the 1990's, Rota returned to some of the problems in analysis and probability theory which motivated his work in combinatorics. This was his intention all along, and his early death robbed mathematics of his unique perspective on linkages between the discrete and the continuous. Glimpses of his new research programs can be found in [2,3,6,9,10].

DATA ANALYSIS

DATA ANALYSIS
Author : BISHNU, PARTHA SARATHI,BHATTACHERJEE, VANDANA
Publisher : PHI Learning Pvt. Ltd.
Release Date : 2020
Category : Computers
Total pages :592
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Data Analysis Using Statistics and Probability with R Language is a complete introduction to data analysis. It provides a sound understanding of the foundations of the data analysis, in addition to covering many important advanced topics. Moreover, all the techniques have been implemented using R language as well as Excel. This book is intended for the undergraduate and postgraduate students of Management and Engineering disciplines. It is also useful for research scholars. KEY FEATURES 1. Covers data analysis topics such as: • Descriptive statistics like mean, median, mode, standard deviation, skewness, kurtosis, correlation and regression • Probability and probability distribution • Inferential statistics like estimation of parameters, hypothesis testing, ANOVA test, chi-square and t-test • Statistical quality control, time series analysis, statistical decision theory • Explorative data analysis like clustering and classification • Advanced techniques like conjoint analysis, panel data analysis, and logistic regression analysis 2. Comprises 12 chapters which include examples, solved problems, review questions and unsolved problems. 3. Requires no programming background and can be used to understand theoretical concepts also by skipping programming. 4. R and Excel implementations, and additional advanced topics are available at https://phindia.com/partha_sarathi_ bishnu_ and_vandana_bhattacherjee 5. Whenever in any branch, data analysis technique is required, this book is the best. TARGET AUDIENCE • Students of MBA, ME/M.Tech, and BE/B.Tech. • M.Sc. (Computer Science), MCA, BCA, and research scholars

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 Date : 1995-10-12
Category : Mathematics
Total pages :496
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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.

Some Aspects of Analysis and Probability

Some Aspects of Analysis and Probability
Author : Irving Kaplansky
Publisher : Unknown
Release Date : 1958
Category : Functional analysis
Total pages :243
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Real Analysis and Probability

Real Analysis and Probability
Author : R. M. Dudley
Publisher : CRC Press
Release Date : 2018-02-01
Category : Mathematics
Total pages :450
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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 a set of historical notes and references. This book should be of interest to students taking degree courses in real analysis and/or probability theory.

Introduction to Banach Spaces: Analysis and Probability:

Introduction to Banach Spaces: Analysis and Probability:
Author : Daniel Li,Hervé Queffélec
Publisher : Cambridge University Press
Release Date : 2017-11-02
Category : Mathematics
Total pages :129
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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 analysis and probability. The authors also provide an annex devoted to compact Abelian groups. Volume 2 focuses on applications of the tools presented in the first volume, including Dvoretzky's theorem, spaces without the approximation property, Gaussian processes, and more. Four leading experts also provide surveys outlining major developments in the field since the publication of the original French edition.

Spectrum Data Analysis and Probability

Spectrum Data Analysis and Probability
Author : Spectrum
Publisher : Carson-Dellosa Publishing
Release Date : 2015-02-15
Category : Juvenile Nonfiction
Total pages :128
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With the help of Spectrum(R) 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 challengesÑlet Spectrum(R) ease some stress. Developed by education experts, the Spectrum(R) 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(R) Data Analysis and Probability helps children soar in a standards-based classroom!

Harmonic Analysis and the Theory of Probability

Harmonic Analysis and the Theory of Probability
Author : Salomon Bochner
Publisher : Courier Corporation
Release Date : 2013-11-07
Category : Mathematics
Total pages :192
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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.

Applications of Model Theory to Algebra, Analysis, and Probability

Applications of Model Theory to Algebra, Analysis, and Probability
Author : International Symposium on the Applications of Model Theory to Algebra, Analysis, and Probability
Publisher : Unknown
Release Date : 1969
Category : Model Theory
Total pages :307
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