A Course In The Theory Of Stochastic Processes


A Course In The Theory Of Stochastic Processes
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A Course In The Theory Of Stochastic Processes


A Course In The Theory Of Stochastic Processes
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Author : Alexander D. Wentzell
language : en
Publisher: McGraw-Hill International Book Company
Release Date : 1981

A Course In The Theory Of Stochastic Processes written by Alexander D. Wentzell and has been published by McGraw-Hill International Book Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.




A First Course In Stochastic Processes


A First Course In Stochastic Processes
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Author : Samuel Karlin
language : en
Publisher: Gulf Professional Publishing
Release Date : 1975-04-11

A First Course In Stochastic Processes written by Samuel Karlin and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975-04-11 with Mathematics categories.


Elements of stochastic processes; Markov chains; The basic limit theorem of markov chains and applications; Classical examples of continuous time markov chains; Renewal processes; Martingales; Brownian motion; Branching processes; Stationary processes.



A Course In Stochastic Processes


A Course In Stochastic Processes
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Author : Denis Bosq
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

A Course In Stochastic Processes written by Denis Bosq 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 2013-03-09 with Mathematics categories.


This text is an Elementary Introduction to Stochastic Processes in discrete and continuous time with an initiation of the statistical inference. The material is standard and classical for a first course in Stochastic Processes at the senior/graduate level (lessons 1-12). To provide students with a view of statistics of stochastic processes, three lessons (13-15) were added. These lessons can be either optional or serve as an introduction to statistical inference with dependent observations. Several points of this text need to be elaborated, (1) The pedagogy is somewhat obvious. Since this text is designed for a one semester course, each lesson can be covered in one week or so. Having in mind a mixed audience of students from different departments (Math ematics, Statistics, Economics, Engineering, etc.) we have presented the material in each lesson in the most simple way, with emphasis on moti vation of concepts, aspects of applications and computational procedures. Basically, we try to explain to beginners questions such as "What is the topic in this lesson?" "Why this topic?", "How to study this topic math ematically?". The exercises at the end of each lesson will deepen the stu dents' understanding of the material, and test their ability to carry out basic computations. Exercises with an asterisk are optional (difficult) and might not be suitable for homework, but should provide food for thought.



Probability Theory And Stochastic Processes


Probability Theory And Stochastic Processes
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Author : Pierre Brémaud
language : en
Publisher: Springer Nature
Release Date : 2020-04-07

Probability Theory And Stochastic Processes written by Pierre Brémaud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-07 with Mathematics categories.


The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance, finance, biology, physics, computer and communications networks, and signal processing. In order to help the reader to reach a level of technical autonomy sufficient to understand the presented models, this book includes a reasonable dose of probability theory. On the other hand, the study of stochastic processes gives an opportunity to apply the main theoretical results of probability theory beyond classroom examples and in a non-trivial manner that makes this discipline look more attractive to the applications-oriented student. One can distinguish three parts of this book. The first four chapters are about probability theory, Chapters 5 to 8 concern random sequences, or discrete-time stochastic processes, and the rest of the book focuses on stochastic processes and point processes. There is sufficient modularity for the instructor or the self-teaching reader to design a course or a study program adapted to her/his specific needs. This book is in a large measure self-contained.



A Second Course In Stochastic Processes


A Second Course In Stochastic Processes
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Author : Samuel Karlin
language : en
Publisher: Gulf Professional Publishing
Release Date : 1981-05-12

A Second Course In Stochastic Processes written by Samuel Karlin and has been published by Gulf Professional Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981-05-12 with Business & Economics categories.


Algebraic methods in markov chains; Ratio theorems of transition probabilities and applications; Sums of independent random variables as a markov chain; Order statistics, poisson processes, and applications; Continuous time markov chains; Diffusion processes; Compouding stochastic processes; Fluctuation theory of partial sums of independent identically distributed random variables; Queueing processes.



Adventures In Stochastic Processes


Adventures In Stochastic Processes
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Author : Sidney I. Resnick
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11

Adventures In Stochastic Processes written by Sidney I. Resnick 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 2013-12-11 with Mathematics categories.


Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. This text offers easy access to this fundamental topic for many students of applied sciences at many levels. It includes examples, exercises, applications, and computational procedures. It is uniquely useful for beginners and non-beginners in the field. No knowledge of measure theory is presumed.



Stochastic Processes


Stochastic Processes
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Author : Jyotiprasad Medhi
language : en
Publisher: New Age International
Release Date : 1994

Stochastic Processes written by Jyotiprasad Medhi and has been published by New Age International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Procesos estocásticos categories.


Aims At The Level Between That Of Elementary Probability Texts And Advanced Works On Stochastic Processes. The Pre-Requisites Are A Course On Elementary Probability Theory And Statistics, And A Course On Advanced Calculus. The Theoretical Results Developed Have Been Followed By A Large Number Of Illustrative Examples. These Have Been Supplemented By Numerous Exercises, Answers To Most Of Which Are Also Given. It Will Suit As A Text For Advanced Undergraduate, Postgraduate And Research Level Course In Applied Mathematics, Statistics, Operations Research, Computer Science, Different Branches Of Engineering, Telecommunications, Business And Management, Economics, Life Sciences And So On. A Review Of The Book In American Mathematical Monthly (December 82) Gives This Book Special Positive Emphasis As A Textbook As Follows: 'Of The Dozen Or More Texts Published In The Last Five Years Aimed At The Students With A Background Of A First Course In Probability And Statistics But Not Yet To Measure Theory, This Is The Clear Choice. An Extremely Well Organized, Lucidly Written Text With Numerous Problems, Examples And Reference T* (With T* Where T Denotes Textbook And * Denotes Special Positive Emphasis). The Current Enlarged And Revised Edition, While Retaining The Structure And Adhering To The Objective As Well As Philosophy Of The Earlier Edition, Removes The Deficiencies, Updates The Material And The References And Aims At A Border Perspective With Substantial Additions And Wider Coverage.



A Course In Applied Stochastic Processes


A Course In Applied Stochastic Processes
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Author : A. Goswami
language : en
Publisher: Springer
Release Date : 2006-09-15

A Course In Applied Stochastic Processes written by A. Goswami and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-15 with Mathematics categories.




Basic Stochastic Processes


Basic Stochastic Processes
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Author : Zdzislaw Brzezniak
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Basic Stochastic Processes written by Zdzislaw Brzezniak 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 2012-12-06 with Mathematics categories.


Stochastic processes are tools used widely by statisticians and researchers working in the mathematics of finance. This book for self-study provides a detailed treatment of conditional expectation and probability, a topic that in principle belongs to probability theory, but is essential as a tool for stochastic processes. The book centers on exercises as the main means of explanation.



Lectures In Elementary Probability Theory And Stochastic Processes


Lectures In Elementary Probability Theory And Stochastic Processes
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Author : Jean-Claude Falmagne
language : en
Publisher: McGraw-Hill Science, Engineering & Mathematics
Release Date : 2002

Lectures In Elementary Probability Theory And Stochastic Processes written by Jean-Claude Falmagne and has been published by McGraw-Hill Science, Engineering & Mathematics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.


Designed for undergraduate mathematics students or graduate students in the sciences. This book can be used in a prerequisite course for Statistics (for math majors) or Mathematical Modeling. The first eighteen chapters could be used in a one-quarter course, and the entire text is suitable for a one-semester course.