Handbook Of Probability

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Handbook of Probability

Handbook of Probability [Pdf/ePub] eBook ISBN-10: 111859309X
Publisher: John Wiley & Sons
File Size: 464 KB
File Format: Pdf
Read Count: 5898412


Handbook of Probability by Book Resume:

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETEUNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, theHandbook of Probability presents the fundamentals ofprobability with an emphasis on the balance of theory, application,and methodology. Utilizing basic examples throughout, the handbookexpertly transitions between concepts and practice to allow readersan inclusive introduction to the field of probability. The book provides a useful format with self-contained chapters,allowing the reader easy and quick reference. Each chapter includesan introduction, historical background, theory and applications,algorithms, and exercises. The Handbook of Probabilityoffers coverage of: Probability Space Probability Measure Random Variables Random Vectors in Rn Characteristic Function Moment Generating Function Gaussian Random Vectors Convergence Types Limit Theorems The Handbook of Probability is an ideal resource forresearchers and practitioners in numerous fields, such asmathematics, statistics, operations research, engineering,medicine, and finance, as well as a useful text for graduatestudents.

Handbook of Tables for Probability and Statistics

Handbook of Tables for Probability and Statistics [Pdf/ePub] eBook ISBN-10: 135109002X
Author: William H. Beyer
Publisher: CRC Press
File Size: 1471 KB
File Format: Pdf
Read Count: 1986728


Handbook of Tables for Probability and Statistics by William H. Beyer Book Resume:

Practicing statisticians and scientists working in diverse fields need an authoritative reference handbook of statistical tables developed to "aid" in the investigation and solution of many of today's challenging problems. This book has been compiled and arranged to meet the needs of these users of statistics.

Probability Distributions Involving Gaussian Random Variables

Probability Distributions Involving Gaussian Random Variables [Pdf/ePub] eBook ISBN-10: 0387476946
Author: Marvin K. Simon
Publisher: Springer Science & Business Media
File Size: 1353 KB
File Format: Pdf
Read Count: 598181


Probability Distributions Involving Gaussian Random Variables by Marvin K. Simon Book Resume:

This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or discussion, allowing for much material to be condensed into one volume.

Handbook of Statistical Distributions with Applications

Handbook of Statistical Distributions with Applications [Pdf/ePub] eBook ISBN-10: 1498741509
Author: K. Krishnamoorthy
Publisher: CRC Press
File Size: 442 KB
File Format: Pdf
Read Count: 2224096


Handbook of Statistical Distributions with Applications by K. Krishnamoorthy Book Resume:

Easy-to-Use Reference and Software for Statistical Modeling and Testing Handbook of Statistical Distributions with Applications, Second Edition provides quick access to common and specialized probability distributions for modeling practical problems and performing statistical calculations. Along with many new examples and results, this edition includes both the author’s StatCalc software and R codes to accurately and easily carry out computations. New to the Second Edition Major changes in binomial, Poisson, normal, gamma, Weibull, exponential, logistic, Laplace, and Pareto distributions Updated statistical tests and intervals based on recent publications in statistical journals Enhanced PC calculator StatCalc with electronic help manuals R functions for cases where StatCalc is not applicable, with the codes available online This highly praised handbook integrates popular probability distribution models, formulas, applications, and software to help you compute a variety of statistical intervals. It covers probability and percentiles, algorithms for random number generation, hypothesis tests, confidence intervals, tolerance intervals, prediction intervals, sample size determination, and much more.

Handbook of Probabilistic Models

Handbook of Probabilistic Models [Pdf/ePub] eBook ISBN-10: 0128165464
Author: Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo
Publisher: Butterworth-Heinemann
File Size: 1553 KB
File Format: Pdf
Read Count: 1723799


Handbook of Probabilistic Models by Pijush Samui,Dieu Tien Bui,Subrata Chakraborty,Ravinesh C. Deo Book Resume:

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields. In this comprehensive handbook, practitioners, researchers and scientists will find detailed explanations of technical concepts, applications of the proposed methods, and the respective scientific approaches needed to solve the problem. This book provides an interdisciplinary approach that creates advanced probabilistic models for engineering fields, ranging from conventional fields of mechanical engineering and civil engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences. Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic regression, Monte Carlo simulations, random matrix, Gaussian process regression, Kalman filter, stochastic optimization, maximum likelihood, Bayesian inference, Bayesian update, kriging, copula-statistical models, and more. Explains the application of advanced probabilistic models encompassing multidisciplinary research Applies probabilistic modeling to emerging areas in engineering Provides an interdisciplinary approach to probabilistic models and their applications, thus solving a wide range of practical problems

Handbook of Measure Theory

Handbook of Measure Theory [Pdf/ePub] eBook ISBN-10: 9780080533094
Author: E. Pap
Publisher: Elsevier
File Size: 1307 KB
File Format: Pdf
Read Count: 4924460


Handbook of Measure Theory by E. Pap Book Resume:

The main goal of this Handbook is to survey measure theory with its many different branches and its relations with other areas of mathematics. Mostly aggregating many classical branches of measure theory the aim of the Handbook is also to cover new fields, approaches and applications which support the idea of "measure" in a wider sense, e.g. the ninth part of the Handbook. Although chapters are written of surveys in the various areas they contain many special topics and challenging problems valuable for experts and rich sources of inspiration. Mathematicians from other areas as well as physicists, computer scientists, engineers and econometrists will find useful results and powerful methods for their research. The reader may find in the Handbook many close relations to other mathematical areas: real analysis, probability theory, statistics, ergodic theory, functional analysis, potential theory, topology, set theory, geometry, differential equations, optimization, variational analysis, decision making and others. The Handbook is a rich source of relevant references to articles, books and lecture notes and it contains for the reader's convenience an extensive subject and author index.

Probability and Stochastic Processes

Probability and Stochastic Processes [Pdf/ePub] eBook ISBN-10: 1118593138
Author: Ionut Florescu
Publisher: John Wiley & Sons
File Size: 923 KB
File Format: Pdf
Read Count: 1338512


Probability and Stochastic Processes by Ionut Florescu Book Resume:

A comprehensive and accessible presentation of probabilityand stochastic processes with emphasis on key theoretical conceptsand real-world applications With a sophisticated approach, Probability and StochasticProcesses successfully balances theory and applications in apedagogical and accessible format. The book’s primary focusis on key theoretical notions in probability to provide afoundation for understanding concepts and examples related tostochastic processes. Organized into two main sections, the book begins by developingprobability theory with topical coverage on probability measure;random variables; integration theory; product spaces, conditionaldistribution, and conditional expectations; and limit theorems. Thesecond part explores stochastic processes and related conceptsincluding the Poisson process, renewal processes, Markov chains,semi-Markov processes, martingales, and Brownian motion. Featuringa logical combination of traditional and complex theories as wellas practices, Probability and Stochastic Processes alsoincludes: Multiple examples from disciplines such as business,mathematical finance, and engineering Chapter-by-chapter exercises and examples to allow readers totest their comprehension of the presented material A rigorous treatment of all probability and stochasticprocesses concepts An appropriate textbook for probability and stochastic processescourses at the upper-undergraduate and graduate level inmathematics, business, and electrical engineering, Probabilityand Stochastic Processes is also an ideal reference forresearchers and practitioners in the fields of mathematics,engineering, and finance.

Handbook of Probability

Handbook of Probability [Pdf/ePub] eBook ISBN-10: 1483303659
Author: Tamás Rudas
Publisher: SAGE Publications
File Size: 1270 KB
File Format: Pdf
Read Count: 1554320


Handbook of Probability by Tamás Rudas Book Resume:

"This is a valuable reference guide for readers interested in gaining a basic understanding of probability theory or its applications in problem solving in the other disciplines." —CHOICE Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamás Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications of probability presented make it useful for scholars who need to make interdisciplinary connections in their work. Key Features Contains contributions from the international who's-who of probability across several disciplines Offers an equal balance of theory and applications Explains the most important concepts of probability theory in a non-technical yet comprehensive way Provides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law Intended Audience This Handbook makes an ideal library purchase. In addition, this volume should also be of interest to individual scholars in the social and behavioral sciences.

The Probability Handbook

The Probability Handbook [Pdf/ePub] eBook ISBN-10: 0873899229
Author: Mary McShane-Vaughn
Publisher: Quality Press
File Size: 1767 KB
File Format: Pdf
Read Count: 1371421


The Probability Handbook by Mary McShane-Vaughn Book Resume:

Probability is tough – even those fairly well versed in statistical analysis balk at the prospect of tackling it. Many probability concepts seem counterintuitive at first, and the successful student must in effect train him or herself to think in a totally new way. Mastery of probability takes a lot of time, and only comes from solving many, many problems. The aim of this text and its companion, The Probability Workbook (coming soon), is to present the subject of probability as a tutor would. Probability concepts are explained in everyday language and worked examples are presented in abundance. In addition to paper-and-pencil solutions, solution strategies using Microsoft Excel functions are given. All mathematical symbols are explained, and the mathematical rigor is kept on an algebra level; calculus is avoided. This book is written for quality practitioners who are currently performing statistical and probability analyses in their workplaces, and for those seeking to learn probability concepts for the American Society for Quality (ASQ) Certified Quality Engineer, Reliability Engineer, Six Sigma Green Belt, Black Belt, or Master Black Belt exams.

Handbook of Monte Carlo Methods

Handbook of Monte Carlo Methods [Pdf/ePub] eBook ISBN-10: 9781118014950
Author: Dirk P. Kroese,Thomas Taimre,Zdravko I. Botev
Publisher: John Wiley & Sons
File Size: 323 KB
File Format: Pdf
Read Count: 3299676


Handbook of Monte Carlo Methods by Dirk P. Kroese,Thomas Taimre,Zdravko I. Botev Book Resume:

A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach. Handbook of Monte Carlo Methods provides the theory, algorithms, and applications that helps provide a thorough understanding of the emerging dynamics of this rapidly-growing field. The authors begin with a discussion of fundamentals such as how to generate random numbers on a computer. Subsequent chapters discuss key Monte Carlo topics and methods, including: Random variable and stochastic process generation Markov chain Monte Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and hit-and-run Discrete-event simulation Techniques for the statistical analysis of simulation data including the delta method, steady-state estimation, and kernel density estimation Variance reduction, including importance sampling, latin hypercube sampling, and conditional Monte Carlo Estimation of derivatives and sensitivity analysis Advanced topics including cross-entropy, rare events, kernel density estimation, quasi Monte Carlo, particle systems, and randomized optimization The presented theoretical concepts are illustrated with worked examples that use MATLAB®, a related Web site houses the MATLAB® code, allowing readers to work hands-on with the material and also features the author's own lecture notes on Monte Carlo methods. Detailed appendices provide background material on probability theory, stochastic processes, and mathematical statistics as well as the key optimization concepts and techniques that are relevant to Monte Carlo simulation. Handbook of Monte Carlo Methods is an excellent reference for applied statisticians and practitioners working in the fields of engineering and finance who use or would like to learn how to use Monte Carlo in their research. It is also a suitable supplement for courses on Monte Carlo methods and computational statistics at the upper-undergraduate and graduate levels.

Probability Foundations for Engineers

Probability Foundations for Engineers [Pdf/ePub] eBook ISBN-10: 1466503017
Author: Joel A. Nachlas
Publisher: CRC Press
File Size: 403 KB
File Format: Pdf
Read Count: 6054333


Probability Foundations for Engineers by Joel A. Nachlas Book Resume:

Suitable for a first course in probability theory and designed specifically for industrial engineering and operations management students, Probability Foundations for Engineers covers theory in an accessible manner and includes numerous practical examples based on engineering applications. Essentially, everyone understands and deals with probability every day in their normal lives. Nevertheless, for some reason, when engineering students who have good math skills are presented with the mathematics of probability theory, there is a disconnect somewhere. The book begins with a summary of set theory and then introduces probability and its axioms. The author has carefully avoided a theorem-proof type of presentation. He includes all of the theory but presents it in a conversational rather than formal manner, while relying on the assumption that undergraduate engineering students have a solid mastery of calculus. He explains mathematical theory by demonstrating how it is used with examples based on engineering applications. An important aspect of the text is the fact that examples are not presented in terms of "balls in urns". Many examples relate to gambling with coins, dice and cards but most are based on observable physical phenomena familiar to engineering students.

Binomial Distribution Handbook for Scientists and Engineers

Binomial Distribution Handbook for Scientists and Engineers [Pdf/ePub] eBook ISBN-10: 1461202159
Author: E. von Collani,Klaus Dräger
Publisher: Springer Science & Business Media
File Size: 1177 KB
File Format: Pdf
Read Count: 8214445


Binomial Distribution Handbook for Scientists and Engineers by E. von Collani,Klaus Dräger Book Resume:

This book deals with estimating and testing the probability of an event. It aims at providing practitioners with refined and easy to use techniques as well as initiating a new field of research in theoretical statistics. Practical, comprehensive tables for data analysis of the experimental state of investigations are included. Statisticians and practitioners will find this book an essential reference.

An Introduction to Probability and Statistics Using Basic

An Introduction to Probability and Statistics Using Basic [Pdf/ePub] eBook ISBN-10: 1000110427
Author: Richard A. Groeneveld
Publisher: CRC Press
File Size: 1575 KB
File Format: Pdf
Read Count: 6091449


An Introduction to Probability and Statistics Using Basic by Richard A. Groeneveld Book Resume:

This volume introduces the theoretical ideas in probability and statistics by means of examples. The strengths of the BASIC computer language are exploited to illustrate probabilistic and statistical ideas. Topics described by the Committee on the Under-graduate Program in Mathematics are included.

Handbook of Differential Entropy

Handbook of Differential Entropy [Pdf/ePub] eBook ISBN-10: 1466583177
Author: Joseph Victor Michalowicz,Jonathan M. Nichols,Frank Bucholtz
Publisher: CRC Press
File Size: 309 KB
File Format: Pdf
Read Count: 5876071


Handbook of Differential Entropy by Joseph Victor Michalowicz,Jonathan M. Nichols,Frank Bucholtz Book Resume:

One of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment.Handbook of Differential Entropy provides a comprehensive intro

Chance Rules

Chance Rules [Pdf/ePub] eBook ISBN-10: 0387774157
Author: Brian Everitt
Publisher: Springer Science & Business Media
File Size: 955 KB
File Format: Pdf
Read Count: 1709005


Chance Rules by Brian Everitt Book Resume:

Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number of different circumstances. Such understanding becomes simpler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts the story of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies remain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probabilistic explanation of why things were better when you were younger, consideration of whether you can use probability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how evolution scores over creationism. Chance Rules lets you learn about probability without complex mathematics.

Probability Theory

Probability Theory [Pdf/ePub] eBook ISBN-10: 1483218635
Author: L. E. Maistrov
Publisher: Academic Press
File Size: 1338 KB
File Format: Pdf
Read Count: 4379260


Probability Theory by L. E. Maistrov Book Resume:

Probability Theory: A Historical Sketch covers the probability theory, mainly axiomatization problems. The book discusses the prehistory of the probability theory; the first stage in the development of probability theory; and the development of probability theory to the middle of the 19th century. The text also describes the probability theory in the second half of the 19th century; and the axiomatic foundations of the probability theory. Historians and mathematicians will find the book invaluable.

Philosophy of Statistics

Philosophy of Statistics [Pdf/ePub] eBook ISBN-10: 9780080930961
Publisher: Elsevier
File Size: 1321 KB
File Format: Pdf
Read Count: 2706751


Philosophy of Statistics by Book Resume:

Statisticians and philosophers of science have many common interests but restricted communication with each other. This volume aims to remedy these shortcomings. It provides state-of-the-art research in the area of philosophy of statistics by encouraging numerous experts to communicate with one another without feeling “restricted by their disciplines or thinking “piecemeal in their treatment of issues. A second goal of this book is to present work in the field without bias toward any particular statistical paradigm. Broadly speaking, the essays in this Handbook are concerned with problems of induction, statistics and probability. For centuries, foundational problems like induction have been among philosophers’ favorite topics; recently, however, non-philosophers have increasingly taken a keen interest in these issues. This volume accordingly contains papers by both philosophers and non-philosophers, including scholars from nine academic disciplines. Provides a bridge between philosophy and current scientific findings Covers theory and applications Encourages multi-disciplinary dialogue

Scan Statistics

Scan Statistics [Pdf/ePub] eBook ISBN-10: 1475734603
Author: Joseph Glaz,Joseph Naus,Sylvan Wallenstein
Publisher: Springer Science & Business Media
File Size: 1901 KB
File Format: Pdf
Read Count: 6287521


Scan Statistics by Joseph Glaz,Joseph Naus,Sylvan Wallenstein Book Resume:

In many statistical applications, scientists have to analyze the occurrence of observed clusters of events in time or space. Scientists are especially interested in determining whether an observed cluster of events has occurred by chance if it is assumed that the events are distributed independently and uniformly over time or space. Scan statistics have relevant applications in many areas of science and technology including geology, geography, medicine, minefield detection, molecular biology, photography, quality control and reliability theory and radio-optics.

Handbook of Brownian Motion

Handbook of Brownian Motion [Pdf/ePub] eBook ISBN-10: 3034876521
Author: Andrei Borodin,Paavo Salminen
Publisher: Birkhäuser
File Size: 475 KB
File Format: Pdf
Read Count: 4291881


Handbook of Brownian Motion by Andrei Borodin,Paavo Salminen Book Resume:

There are two parts in this book. The first part is devoted mainly to the proper ties of linear diffusions in general and Brownian motion in particular. The second part consists of tables of distributions of functionals of Brownian motion and re lated processes. The primary aim of this book is to give an easy reference to a large number of facts and formulae associated to Brownian motion. We have tried to do this in a "handbook-style". By this we mean that results are given without proofs but are equipped with a reference where a proof or a derivation can be found. It is our belief and experience that such a material would be very much welcome by students and people working with applications of diffusions and Brownian motion. In discussions with many of our colleagues we have found that they share this point of view. Our original plan included more things than we were able to realize. It turned out very soon when trying to put the plan into practice that the material would be too wide to be published under one cover. Excursion theory, which most of the recent results concerning linear Brownian motion and diffusions can be classified as, is only touched upon slightly here, not to mention Brownian motion in several dimensions which enters only through the discussion of Bessel processes. On the other hand, much attention is given to the theory of local time.

The Methods of Distances in the Theory of Probability and Statistics

The Methods of Distances in the Theory of Probability and Statistics [Pdf/ePub] eBook ISBN-10: 1461448697
Author: Svetlozar T. Rachev,Lev Klebanov,Stoyan V. Stoyanov,Frank Fabozzi
Publisher: Springer Science & Business Media
File Size: 1825 KB
File Format: Pdf
Read Count: 9909852


The Methods of Distances in the Theory of Probability and Statistics by Svetlozar T. Rachev,Lev Klebanov,Stoyan V. Stoyanov,Frank Fabozzi Book Resume:

This book covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to a given probabilistic model. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison of probability metrics. After describing the basic structure of probability metrics and providing an analysis of the topologies in the space of probability measures generated by different types of probability metrics, the authors study stability problems by providing a characterization of the ideal metrics for a given problem and investigating the main relationships between different types of probability metrics. The presentation is provided in a general form, although specific cases are considered as they arise in the process of finding supplementary bounds or in applications to important special cases. Svetlozar T. Rachev is the Frey Family Foundation Chair of Quantitative Finance, Department of Applied Mathematics and Statistics, SUNY-Stony Brook and Chief Scientist of Finanlytica, USA. Lev B. Klebanov is a Professor in the Department of Probability and Mathematical Statistics, Charles University, Prague, Czech Republic. Stoyan V. Stoyanov is a Professor at EDHEC Business School and Head of Research, EDHEC-Risk Institute—Asia (Singapore). Frank J. Fabozzi is a Professor at EDHEC Business School. (USA)