Probability A Lively Introduction

Probability  A Lively Introduction

Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.

Author: Henk Tijms

Publisher: Cambridge University Press

ISBN: 9781108418744

Category: Mathematics

Page:

View: 451

Comprehensive, yet concise, this textbook is the go-to guide to learn why probability is so important and its applications.
Categories: Mathematics

Elementary Probability for Applications

Elementary Probability for Applications

This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains.

Author: Rick Durrett

Publisher: Cambridge University Press

ISBN: 9781139480734

Category: Mathematics

Page:

View: 719

This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.
Categories: Mathematics

Surprises in Probability

Surprises in Probability

This book brings together a variety of probability applications through entertaining stories that will appeal to a broad readership.

Author: Henk Tijms

Publisher: CRC Press

ISBN: 9780429815492

Category: Mathematics

Page: 144

View: 407

This book brings together a variety of probability applications through entertaining stories that will appeal to a broad readership. What are the best stopping rules for the dating problem? What can Bayes’ formula tell us about the chances of a Champions League draw for soccer teams being rigged? How could syndicates win millions of lottery dollars by buying a multitude of tickets at the right time? What’s the best way to manage your betting bankroll in a game in which you have an edge? How to use probability to debunk quacks and psychic mediums? How can the Monte Carlo simulation be used to solve a wide variety of probability problems? Are seven riffle shuffles of a standard deck of 52 playing cards enough for randomness? Provides seventeen engaging stories that illustrate ideas in probability. Written so as to be suitable for those with minimal mathematical background. Stories can be read independently. Can be used as examples and exercises for teaching introductory probability. These questions and many more are addressed in seventeen short chapters that can be read independently. The engaging stories are instructive and demonstrate valuable probabilistic ideas. They offer students material that they most likely don’t learn in class, and offer teachers a new way of teaching their subject.
Categories: Mathematics

An Introduction to Probability and Inductive Logic

An Introduction to Probability and Inductive Logic

An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.

Author: Ian Hacking

Publisher: Cambridge University Press

ISBN: 0521775019

Category: Mathematics

Page: 302

View: 740

An introductory 2001 textbook on probability and induction written by a foremost philosopher of science.
Categories: Mathematics

Introduction to Probability Models Eighth Edition

Introduction to Probability Models  Eighth Edition

Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked-out examples.

Author: Sheldon M. Ross

Publisher:

ISBN: 0125980566

Category: Probabilities

Page: 321

View: 549

Introduction to Probability Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked-out examples. The 8th Edition includes five new sections and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or actuarial work. The five new sections include: * Section 3.6.4 presents an elementary approach, using only conditional expectation, for computing the expected time until a sequence of independent and identically distributed random variables produce a specified pattern. * Section 3.6.5 derives an identity involving compound Poisson random variables and then uses it to obtain an elegant recursive formula for the probabilities of compound Poisson random variables whose incremental increases are nonnegative and integer valued * Section 5.4.3 is concerned with a conditional Poisson process, a type of process that is widely applicable in the risk industries * Section 7.10 presents a derivation of and a new characterization for the classical insurance ruin probability. * Section 11.8 presents a simulation procedure known as coupling from the past; its use enables one to exactly generate the value of a random variable whose distribution is that of the stationary distribution of a given Markov chain, evenin cases where the stationary distribution cannot itself be explicitly determined. Other Academic Press books by Sheldon Ross: Simulation 3rd Ed., ISBN: 0-12-598053-1 Probability Models for Computer Science, ISBN 0-12-598051-5 Introduction to Probability and Statistics for Engineers and Scientists, 2nd Ed., ISBN: 0-12-598472-3 * Classic text by best-selling author * Continues the tradition of expository excellence * Contains compulsory material for Exam 3 of the Society of Actuaries
Categories: Probabilities

Probability

Probability

A well-written and lively introduction to measure theoretic probability for graduate students and researchers.

Author: Rick Durrett

Publisher: Cambridge University Press

ISBN: 9781108473682

Category: Mathematics

Page: 432

View: 150

A well-written and lively introduction to measure theoretic probability for graduate students and researchers.
Categories: Mathematics

Probability with Applications in Engineering Science and Technology

Probability with Applications in Engineering  Science  and Technology

New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised ...

Author: Matthew A. Carlton

Publisher: Springer

ISBN: 9783319524016

Category: Mathematics

Page: 610

View: 136

This updated and revised first-course textbook in applied probability provides a contemporary and lively post-calculus introduction to the subject of probability. The exposition reflects a desirable balance between fundamental theory and many applications involving a broad range of real problem scenarios. It is intended to appeal to a wide audience, including mathematics and statistics majors, prospective engineers and scientists, and those business and social science majors interested in the quantitative aspects of their disciplines. The textbook contains enough material for a year-long course, though many instructors will use it for a single term (one semester or one quarter). As such, three course syllabi with expanded course outlines are now available for download on the book’s page on the Springer website. A one-term course would cover material in the core chapters (1-4), supplemented by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available exclusively online and specifically designed for electrical and computer engineers, making the book suitable for a one-term class on random signals and noise). For a year-long course, core chapters (1-4) are accessible to those who have taken a year of univariate differential and integral calculus; matrix algebra, multivariate calculus, and engineering mathematics are needed for the latter, more advanced chapters. At the heart of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, roughly 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge necessary for solving problems and illustrating how to solve the problems at hand – in R and MATLAB, including code so that students can create simulations. New to this edition • Updated and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to utilize different sections for various objectives and time constraints • Extended and revised instructions and solutions to problem sets • Overhaul of Section 7.7 on continuous-time Markov chains • Supplementary materials include three sample syllabi and updated solutions manuals for both instructors and students
Categories: Mathematics

Introduction to Probability

Introduction to Probability

Rather, we have tried to develop the key ideas in a somewhat leisurely style, to
provide a variety of interesting applications to probability, and to show some of
the nonintuitive examples that make probability such a lively subject. Exercises: ...

Author: Charles Miller Grinstead

Publisher: American Mathematical Soc.

ISBN: 0821807498

Category: Mathematics

Page: 510

View: 133

This text is designed for an introductory probability course at the university level for undergraduates in mathematics, the physical and social sciences, engineering, and computer science. It presents a thorough treatment of probability ideas and techniques necessary for a firm understanding of the subject.
Categories: Mathematics

Probability for Statistics and Machine Learning

Probability for Statistics and Machine Learning

For a classic and lively introduction to the subject of probability, we recommend
Feller (1968,1971). Among numerous other expositions of the theory of
probability, a variety of examples on various topics can be seen in Ross (1984),
Stirzaker ...

Author: Anirban DasGupta

Publisher: Springer Science & Business Media

ISBN: 1441996346

Category: Mathematics

Page: 784

View: 491

This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and numerous worked out examples and exercises. The book has 20 chapters on a wide range of topics, 423 worked out examples, and 808 exercises. It is unique in its unification of probability and statistics, its coverage and its superb exercise sets, detailed bibliography, and in its substantive treatment of many topics of current importance. This book can be used as a text for a year long graduate course in statistics, computer science, or mathematics, for self-study, and as an invaluable research reference on probabiliity and its applications. Particularly worth mentioning are the treatments of distribution theory, asymptotics, simulation and Markov Chain Monte Carlo, Markov chains and martingales, Gaussian processes, VC theory, probability metrics, large deviations, bootstrap, the EM algorithm, confidence intervals, maximum likelihood and Bayes estimates, exponential families, kernels, and Hilbert spaces, and a self contained complete review of univariate probability.
Categories: Mathematics

Weighing the Odds

Weighing the Odds

An advanced textbook; with many examples and exercises, often with hints or solutions; code is provided for computational examples and simulations.

Author: David Williams

Publisher: Cambridge University Press

ISBN: 052100618X

Category: Mathematics

Page: 547

View: 716

An advanced textbook; with many examples and exercises, often with hints or solutions; code is provided for computational examples and simulations.
Categories: Mathematics

Introduction to applied probability

Introduction to applied probability

INTRODUCTION Probability has a rich intellectual and practical history which
reaches well back into the beginnings of ... On the one hand, probability theory is
one of the lively areas of research in the vast panorama of modern mathematics.

Author: David A. Schum

Publisher:

ISBN: MINN:31951000016312M

Category: Mathematics

Page: 403

View: 950

Categories: Mathematics

An Introduction to Probability and Inductive Logic Desk Examination Edition

An Introduction to Probability and Inductive Logic Desk Examination Edition

... induction and probability, and it considers such topics as decision theory,
Bayesianism, frequency ideas, and the philosophical problem of induction. The
key features of the book are: • A lively and vigorous prose style • Lucid and
systematic ...

Author: Ian Hacking

Publisher: Cambridge University Press

ISBN: 0521005345

Category: Science

Page: 302

View: 597

The book has been designed to offer maximal accessibility to the widest range of students.
Categories: Science

Philosophy and Probability

Philosophy and Probability

All students of philosophy will benefit from an understanding of probability, and this is the book to provide it.

Author: Timothy Childers

Publisher: Oxford University Press

ISBN: 9780199661824

Category: Philosophy

Page: 194

View: 422

Probability is increasingly important for our understanding of the world. What is probability? How do we model it, and how do we use it? Timothy Childers presents a lively introduction to the foundations of probability and to philosophical issues it raises. He keeps technicalities to a minimum, and assumes no prior knowledge of the subject. He explains the main interpretations of probability-frequentist, propensity, classical, Bayesian, and objective Bayesian-and uses stimulating examples to bring the subject to life. All students of philosophy will benefit from an understanding of probability, and this is the book to provide it.
Categories: Philosophy

Probability with Martingales

Probability with Martingales

This is a masterly introduction to the modern, and rigorous, theory of probability.

Author: David Williams

Publisher: Cambridge University Press

ISBN: 0521406056

Category: Mathematics

Page: 251

View: 512

This is a masterly introduction to the modern, and rigorous, theory of probability. The author emphasises martingales and develops all the necessary measure theory.
Categories: Mathematics

Introduction to Probability

Introduction to Probability

Furthermore , in Chapters 5 and 6 , we provide a fairly detailed introduction to
Bernoulli , Poisson , and Markov processes . ... We were thus fortunate to start
with an organization of the subject that had stood the test of time , a lively
presentation ...

Author: Dimitri P. Bertsekas

Publisher:

ISBN: UOM:39015066809040

Category: Mathematics

Page: 416

View: 974

Categories: Mathematics

Introduction to Probability Models

Introduction to Probability Models

Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked-out examples.

Author:

Publisher:

ISBN: 9812595740

Category:

Page: 755

View: 581

Categories:

Study Guide to Introduction to Probability and Statistics Third Edition

Study Guide  to  Introduction to Probability and Statistics  Third Edition

The event that applicant M2 M2 will be ranked first and applicant My will be
ranked second is a event which contains only the single sample point ( ) . A tray
of soil containing two lively nematodes is treated with a certain chemical . simple
 ...

Author: William Mendenhall

Publisher:

ISBN: UCSD:31822012231353

Category: Probabilities

Page: 498

View: 255

Categories: Probabilities

Basic Discrete Mathematics

Basic Discrete Mathematics

This lively introductory text exposes the student in the humanities to the world of discrete mathematics. A problem-solving based approach grounded in the ideas of George Pólya are at the heart of this book.

Author: Richard Kohar

Publisher: World Scientific Publishing Company

ISBN: 9789814730419

Category: Mathematics

Page: 732

View: 232

This lively introductory text exposes the student in the humanities to the world of discrete mathematics. A problem-solving based approach grounded in the ideas of George Pólya are at the heart of this book. Students learn to handle and solve new problems on their own. A straightforward, clear writing style and well-crafted examples with diagrams invite the students to develop into precise and critical thinkers. Particular attention has been given to the material that some students find challenging, such as proofs. This book illustrates how to spot invalid arguments, to enumerate possibilities, and to construct probabilities. It also presents case studies to students about the possible detrimental effects of ignoring these basic principles. The book is invaluable for a discrete and finite mathematics course at the freshman undergraduate level or for self-study since there are full solutions to the exercises in an appendix. "Written with clarity, humor and relevant real-world examples, Basic Discrete Mathematics is a wonderful introduction to discrete mathematical reasoning."- Arthur Benjamin, Professor of Mathematics at Harvey Mudd College, and author of The Magic of Math
Categories: Mathematics

Invariant Manifold Theory for Hydrodynamic Transition

Invariant Manifold Theory for Hydrodynamic Transition

and. Statistics. BASIC PROBABILITY THEORY, Robert B. Ash. This text
emphasizes the probabilistic way of thinking, rather than measure-theoretic
concepts. ... 0-486-47438-0 INTRODUCTION TO PROBABILITY THEORY WITH
CONTEMPORARY APPLICATIONS, Lester L. Helms. ... "Clear and lively ...
remarkably accurate.

Author: S.S. Sritharan

Publisher: Dover Publications

ISBN: 9780486828282

Category: Mathematics

Page: 160

View: 354

Invariant manifold theory serves as a link between dynamical systems theory and turbulence phenomena. This volume consists of research notes by author S. S. Sritharan that develop a theory for the Navier-Stokes equations in bounded and certain unbounded geometries. The main results include spectral theorems and analyticity theorems for semigroups and invariant manifolds. "This monograph contains a lot of useful information, including much that cannot be found in the standard texts on the Navier-Stokes equations," observed MathSciNet, adding "the book is well worth the reader's attention." The treatment is suitable for researchers and graduate students in the areas of chaos and turbulence theory, hydrodynamic stability, dynamical systems, partial differential equations, and control theory. Topics include the governing equations and the functional framework, the linearized operator and its spectral properties, the monodromy operator and its properties, the nonlinear hydrodynamic semigroup, invariant cone theorem, and invariant manifold theorem. Two helpful appendixes conclude the text.
Categories: Mathematics

A History of the Mathematical Theory of Probability

   A    History of the Mathematical Theory of Probability

... nevertheless the general reader will be gratified by a lively and vigorous
exhibition of the whole course of the subject . M . Gouraud recognises the value
of the purely mathematical part of the Theory of Probability , but will not allow the
soundness of the ... a few pages of the introduction to his celebrated work to
recording the names of his predecessors and their contributions to the Theory of
Probability .

Author: Isaac Todhunter

Publisher:

ISBN: ONB:+Z228434306

Category:

Page: 624

View: 217

Categories: