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Analytical Methods In Probability Theory


Analytical Methods In Probability Theory
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Analytical Methods In Probability Theory


Analytical Methods In Probability Theory
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Author : Daniel Dugue
language : en
Publisher: Springer
Release Date : 2006-11-14

Analytical Methods In Probability Theory written by Daniel Dugue and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-14 with Mathematics categories.




Analytical Methods In Probability Theory


Analytical Methods In Probability Theory
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Author : Dugue
language : en
Publisher:
Release Date : 2014-01-15

Analytical Methods In Probability Theory written by Dugue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.




Analytical Methods In Probability Theory


Analytical Methods In Probability Theory
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Author : Daniel Dugué
language : en
Publisher:
Release Date : 1980

Analytical Methods In Probability Theory written by Daniel Dugué and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with categories.




Analytical And Computational Methods In Probability Theory


Analytical And Computational Methods In Probability Theory
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Author : Vladimir V. Rykov
language : en
Publisher: Springer
Release Date : 2017-12-21

Analytical And Computational Methods In Probability Theory written by Vladimir V. Rykov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-21 with Computers categories.


This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017. The 42 full papers presented were carefully reviewed and selected from 173 submissions. The conference program consisted of four main themes associated with significant contributions made by A.D.Soloviev. These are: Analytical methods in probability theory, Computational methods in probability theory, Asymptotical methods in probability theory, the history of mathematics.



Algebraic Geometry


Algebraic Geometry
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Author : Anatoly Libgober
language : en
Publisher:
Release Date : 1981

Algebraic Geometry written by Anatoly Libgober and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Geometry, Algebraic categories.




Probabilistic Techniques In Analysis


Probabilistic Techniques In Analysis
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Author : Richard F. Bass
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-12-16

Probabilistic Techniques In Analysis written by Richard F. Bass and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-16 with Mathematics categories.


In recent years, there has been an upsurge of interest in using techniques drawn from probability to tackle problems in analysis. These applications arise in subjects such as potential theory, harmonic analysis, singular integrals, and the study of analytic functions. This book presents a modern survey of these methods at the level of a beginning Ph.D. student. Highlights of this book include the construction of the Martin boundary, probabilistic proofs of the boundary Harnack principle, Dahlberg's theorem, a probabilistic proof of Riesz' theorem on the Hilbert transform, and Makarov's theorems on the support of harmonic measure. The author assumes that a reader has some background in basic real analysis, but the book includes proofs of all the results from probability theory and advanced analysis required. Each chapter concludes with exercises ranging from the routine to the difficult. In addition, there are included discussions of open problems and further avenues of research.



Analytic Methods Of Probability Theory


Analytic Methods Of Probability Theory
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Author : Hans-Joachim Rossberg
language : en
Publisher:
Release Date : 1985

Analytic Methods Of Probability Theory written by Hans-Joachim Rossberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Analytic functions categories.




Analytic Methods In Applied Probability


Analytic Methods In Applied Probability
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Author : Yu. M. Suhov
language : en
Publisher: American Mathematical Soc.
Release Date : 2002

Analytic Methods In Applied Probability written by Yu. M. Suhov and has been published by American Mathematical Soc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.


This volume is dedicated to F. I. Karpelevich, an outstanding Russian mathematician who made important contributions to applied probability theory. The book contains original papers focusing on several areas of applied probability and its uses in modern industrial processes, telecommunications, computing, mathematical economics, and finance. It opens with a review of Karpelevich's contributions to applied probability theory and includes a bibliography of his works. Other articles discuss queueing network theory, in particular, in heavy traffic approximation (fluid models). The book is suitable for graduate students, theoretical and applied probabilists, computer scientists, and engineers.



Statistics And Analysis Of Scientific Data


Statistics And Analysis Of Scientific Data
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Author : Massimiliano Bonamente
language : en
Publisher: Springer Nature
Release Date : 2022-07-12

Statistics And Analysis Of Scientific Data written by Massimiliano Bonamente and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-12 with Science categories.


This book is the third edition of a successful textbook for upper-undergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including Monte-Carlo Markov chains, resampling methods and low-count statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machine-readable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on low-count statistics including the Poisson-based Cash statistic for regression in the low-count regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARS-COV-2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions—a theory-then-application approach—where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the materials. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data as well as exercises and examples to aid the readers' understanding of the topic.



Analytical Methods In Statistics


Analytical Methods In Statistics
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Author : Jaromír Antoch
language : en
Publisher: Springer
Release Date : 2017-01-24

Analytical Methods In Statistics written by Jaromír Antoch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-24 with Mathematics categories.


This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approximations when the optimal solution is difficult to achieve. It also investigates probability distributions with respect to their stability, heavy-tailness, Fisher information and other aspects, both asymptotically and non-asymptotically. The book not only presents the latest mathematical and statistical methods and their extensions, but also offers solutions to real-world problems including option pricing. The selected, peer-reviewed contributions were originally presented at the workshop on Analytical Methods in Statistics, AMISTAT 2015, held in Prague, Czech Republic, November 10-13, 2015.