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Recommended For You

An Introduction to Stochastic Processes in Physics

by Don S. Lemons ...

This "lucid, masterfully written introduction to an often difficult subject . . . belongs on the bookshelf of every student of statistical physics" (Dr. Brian J. Albright, Applied Physics Division, Los Alamos National Laboratory).This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and ... Read more

$12.99 USD

This "lucid, masterfully written introduction to an often difficult subject . . . belongs on the bookshelf of every student of statistical physics" (Dr. Brian J. Albright, Applied Physics Division, Los Alamos National Laboratory).This book provides an accessible introduction to stochastic processes in physics and describes the basic mathematical tools of the trade: probability, random walks, and
... Read more
Azar y probabilidad en matemáticas

by Santiago Fernández Fernández ...

Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos ... Read more

$11.49 USD

Las situaciones azarosas atraviesan la vida cotidiana y de su experiencia podemos obtener una idea intuitiva y básica de la probabilidad de ocurrencia de los fenómenos aleatorios. Formalmente, la probabilidad es el cálculo matemático que evalúa las posibilidades de que un suceso ocurra cuando interviene el azar. La variación de los precios de materias primas, los tratamientos médicos, los juegos
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First Look At Stochastic Processes, A

by Jeffrey S Rosenthal ...

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and ... Read more

$26.99 USD

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental mathematical results through simple, clear, logical theorems and examples. It covers in detail such essential material as Markov chain recurrence criteria, the Markov chain convergence theorem, and
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Performance Modeling and Design of Computer Systems

Queueing Theory in Action

by Mor Harchol-Balter ...

Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly ... Read more

$86.99 USD

Tackling the questions that systems designers care about, this book brings queueing theory decisively back to computer science. The book is written with computer scientists and engineers in mind and is full of examples from computer systems, as well as manufacturing and operations research. Fun and readable, the book is highly approachable, even for undergraduates, while still being thoroughly
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Tick & Tock: Telling Time Book for Kids | Baby & Toddler Time Books Edition

by Baby Professor ...

Telling time can be a piece of cake, even for young learners. It is a combination of number recognition and counting, too! So if your child knows these concepts, he/she will be good to go. The purpose of this book then is to make sure these basic concepts are well understood so that transitioning to more advanced math learning is done smoothly. Grab a copy today! ... Read more

$3.99 USD

Telling time can be a piece of cake, even for young learners. It is a combination of number recognition and counting, too! So if your child knows these concepts, he/she will be good to go. The purpose of this book then is to make sure these basic concepts are well understood so that transitioning to more advanced math learning is done smoothly. Grab a copy today!
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Elements Of Stochastic Modelling (2nd Edition)

by Konstantin Borovkov ...

This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov ... Read more

$41.39 USD

This is the expanded second edition of a successful textbook that provides a broad introduction to important areas of stochastic modelling. The original text was developed from lecture notes for a one-semester course for third-year science and actuarial students at the University of Melbourne. It reviewed the basics of probability theory and then covered the following topics: Markov chains, Markov
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Examples In Markov Decision Processes

by Alexey B Piunovskiy ...

Series Book 2 - Imperial College Press Optimization Series
This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions ... Read more

$35.99 USD

This invaluable book provides approximately eighty examples illustrating the theory of controlled discrete-time Markov processes. Except for applications of the theory to real-life problems like stock exchange, queues, gambling, optimal search etc, the main attention is paid to counter-intuitive, unexpected properties of optimization problems. Such examples illustrate the importance of conditions
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I Learn the Numbers! I Can Tell Time! Counting and Telling Time for Kids - Baby & Toddler Time Books

by Baby Professor ...

Counting and telling time go well together. When a child can count, then the next big step to make is to tell time. Telling time also involves the ability to skip count, more particularly by 5s. But the purpose of this educational resource goes beyond math because it also reveals the value of time. Are you ready to teach your child the true meaning of time? ... Read more

$3.99 USD

Counting and telling time go well together. When a child can count, then the next big step to make is to tell time. Telling time also involves the ability to skip count, more particularly by 5s. But the purpose of this educational resource goes beyond math because it also reveals the value of time. Are you ready to teach your child the true meaning of time?
... Read more
Day and Night the Hands Go Around The Clock! Telling Time for Kids - Baby & Toddler Time Books

by Baby Professor ...

It’s daytime, it’s nighttime! Can you tell me what time it is now? Telling time is an important concept that a child will begin to understand after introduction to skip counting. It will introduce a child to the fact that numerals may mean differently. Telling time and learning all these basic math concepts have never been made easier. Here’s an educational book that’s perfect for your child! ... Read more

$3.99 USD

It’s daytime, it’s nighttime! Can you tell me what time it is now? Telling time is an important concept that a child will begin to understand after introduction to skip counting. It will introduce a child to the fact that numerals may mean differently. Telling time and learning all these basic math concepts have never been made easier. Here’s an educational book that’s perfect for your child!
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Fractals in Probability and Analysis

by Christopher J. Bishop, Yuval Peres ...

Series Book 162 - Cambridge Studies in Advanced Mathematics
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 ... Read more

$77.89 USD

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
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What Does the Clock Say? | A Telling Time Book for Kids

by Baby Professor ...

Why should your little one learn to tell time? At this age, kids would start requesting to wear watches. But other than a trendy style, telling time is also a culmination of your child’s skip counting, number and counting skills. It is recommended that you teach your child to read the analog clock first before moving on to the digital version. Secure a copy today. ... Read more

$4.99 USD

Why should your little one learn to tell time? At this age, kids would start requesting to wear watches. But other than a trendy style, telling time is also a culmination of your child’s skip counting, number and counting skills. It is recommended that you teach your child to read the analog clock first before moving on to the digital version. Secure a copy today.
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Probability

An Introduction

by Dominic Welsh, Geoffrey Grimmett ...

Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random ... Read more

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Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour. This book is a compact account of the basic features of probability and random processes at the level of first and second year mathematics undergraduates and Masters' students in cognate fields. It is suitable for a first course in probability, plus a follow-up course in random
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Stochastic Geometry for Wireless Networks

by Martin Haenggi ...

Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated ... Read more

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Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated
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Introduction To Stochastic Calculus With Applications (2nd Edition)

by Fima C Klebaner ...

This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book ... Read more

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This book presents a concise treatment of stochastic calculus and its applications. It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.Self-contained and unified in presentation, the book
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ECONOMETRIC MODELS WITH PANEL DATA. APPLICATIONS WITH STATA

by César Pérez López ...

The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different ... Read more

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The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different
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Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes

by Cornelis W Oosterlee, Lech A Grzelak ...

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market ... Read more

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This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market
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Arbitrage Theory in Continuous Time

by Tomas Björk ...

Series series Oxford Finance Series
The fourth edition of this widely used textbook on pricing and hedging of financial derivatives now also includes dynamic equilibrium theory and continues to combine sound mathematical principles with economic applications. Concentrating on the probabilistic theory of continuous time arbitrage pricing of financial derivatives, including stochastic optimal control theory and optimal stopping theory ... Read more

$63.89 USD

The fourth edition of this widely used textbook on pricing and hedging of financial derivatives now also includes dynamic equilibrium theory and continues to combine sound mathematical principles with economic applications. Concentrating on the probabilistic theory of continuous time arbitrage pricing of financial derivatives, including stochastic optimal control theory and optimal stopping theory
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Statistics A User Friendly Guide (Especially for the Mathematically Challenged)

by Gerald Swanson, Ph.D. ...

Covers basic statistics and applications of major statistical tests. Preents the material in a sequence and approach that can be understood and used by almost anyone. Although this can be(and is) used as a text it is equally as useful as a study-aid for use with courses using more conventional texts. It is especially useful for those frightened by math or who are otherwise not well-prepared ... Read more

$9.95 USD

Covers basic statistics and applications of major statistical tests. Preents the material in a sequence and approach that can be understood and used by almost anyone. Although this can be(and is) used as a text it is equally as useful as a study-aid for use with courses using more conventional texts. It is especially useful for those frightened by math or who are otherwise not well-prepared
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Regression Analysis

A Practical Introduction

by Jeremy Arkes ...

With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls.By doing so, the book ... Read more

$78.90 USD

With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls.By doing so, the book
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Bayesian Networks In Fault Diagnosis: Practice And Application

by Baoping Cai, Yonghong Liu, Jinqiu Hu, Zengkai Liu, Shengnan Wu, Renjie Ji ...

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on ... Read more

$98.99 USD

Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on
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MACHINE LEARNING. SUPERVISED LEARNING THROUGH PYTHON: SCIKIT LEARN

by César Pérez López ...

The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop ... Read more

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The goal of supervised machine learning is to build a model that makes evidence-based predictions in the presence of uncertainty. A supervised learning algorithm takes a known set of input data and known responses to the data (output) and trains a model to generate reasonable predictions for the response to new data. Supervised learning uses classification and regression techniques to develop
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Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

by Christopher C Bernido, Maria Victoria Carpio-bernido ...

Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be developed with mathematics beyond the common toolbox. This book presents the white noise stochastic calculus, originated by T Hida, as a novel and powerful tool in investigating physical and social ... Read more

$34.19 USD

Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be developed with mathematics beyond the common toolbox. This book presents the white noise stochastic calculus, originated by T Hida, as a novel and powerful tool in investigating physical and social
... Read more
Random Walk In Random And Non-random Environments (Third Edition)

by Pal Revesz ...

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized ... Read more

$44.99 USD

The simplest mathematical model of the Brownian motion of physics is the simple, symmetric random walk. This book collects and compares current results — mostly strong theorems which describe the properties of a random walk. The modern problems of the limit theorems of probability theory are treated in the simple case of coin tossing. Taking advantage of this simplicity, the reader is familiarized
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Fractional Quantum Mechanics

by Nick Laskin ...

Fractional quantum mechanics is a recently emerged and rapidly developing field of quantum physics.This is the first monograph on fundamentals and physical applications of fractional quantum mechanics, written by its founder.The fractional Schrödinger equation and the fractional path integral are new fundamental physical concepts introduced and elaborated in the book. The fractional Schrödinger ... Read more

$35.99 USD

Fractional quantum mechanics is a recently emerged and rapidly developing field of quantum physics.This is the first monograph on fundamentals and physical applications of fractional quantum mechanics, written by its founder.The fractional Schrödinger equation and the fractional path integral are new fundamental physical concepts introduced and elaborated in the book. The fractional Schrödinger
... Read more

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Recommended For You

Probability eBooks

An Introduction to Stochastic Processes in Physics

Azar y probabilidad en matemáticas

First Look At Stochastic Processes, A

Performance Modeling and Design of Computer Systems

Tick & Tock: Telling Time Book for Kids | Baby & Toddler Time Books Edition

Elements Of Stochastic Modelling (2nd Edition)

Examples In Markov Decision Processes

I Learn the Numbers! I Can Tell Time! Counting and Telling Time for Kids - Baby & Toddler Time Books

Day and Night the Hands Go Around The Clock! Telling Time for Kids - Baby & Toddler Time Books

Fractals in Probability and Analysis

What Does the Clock Say? | A Telling Time Book for Kids

Probability

Stochastic Geometry for Wireless Networks

Introduction To Stochastic Calculus With Applications (2nd Edition)

ECONOMETRIC MODELS WITH PANEL DATA. APPLICATIONS WITH STATA

Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes

Arbitrage Theory in Continuous Time

Statistics A User Friendly Guide (Especially for the Mathematically Challenged)

Regression Analysis

Bayesian Networks In Fault Diagnosis: Practice And Application

MACHINE LEARNING. SUPERVISED LEARNING THROUGH PYTHON: SCIKIT LEARN

Methods And Applications Of White Noise Analysis In Interdisciplinary Sciences

Random Walk In Random And Non-random Environments (Third Edition)

Fractional Quantum Mechanics