books about: probability (engineering mathematics)

books about: probability

books:

Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline ...
Hwei Hsu

McGraw-Hill, 2010

Study faster, learn better, and get top grades Modified to conform to the current curriculum, Schaum's Outline of Probability, Random Variables, and Random Processes complements these courses in scope and sequence to help you understand its basic concepts. The book offers extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power ...

Probability: A Very Short Introduction
John Haigh

Oxford University Press, 2012

Making good decisions under conditions of uncertainty requires a sound appreciation of the way random chance works. It requires, in short, an understanding of probability. In this Very Short Introduction , John Haigh introduces the ideas of probability--and the different philosophical approaches to probability--and gives a brief account of the history of development of probability theory, from Galileo and Pascal to Bayes, Laplace, Poisson, and ...

Probability Theory: The Logic of Science
E. T. Jaynes

Cambridge University Press, 2003

Going beyond the conventional mathematics of probability theory, this study views the subject in a wider context. It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of ...

Probability: An Introduction
Samuel Goldberg, Mathematics

Dover Publications, 1987

Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Includes 360 illustrative problems with answers for half. Only high school algebra needed. Chapter bibliographies.

Probability For Dummies
Deborah Rumsey

For Dummies, 2006

Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers ...

Probability (Springer Texts in Statistics)
Jim Pitman

Springer, 1993

This textbook is ideal for an undergraduate introduction to probability, with a calculus prerequisite. It is based on a course that the author has taught many times at Berkeley. The text's overall style is informal, but all results are stated precisely, and most are proved. Understanding is developed through intuitive explanations and examples. Graphs, diagrams, and geometrical ideals motivate results that might otherwise look likely ...

Probability
Louis Trimble

FQ Books, 2010

Probability is presented here in a high quality paperback edition. This popular classic work by Louis Trimble is in the English language, and may not include graphics or images from the original edition. If you enjoy the works of Louis Trimble then we highly recommend this publication for your book collection.

Probability Theory: A Concise Course (Dover Books on Mathematics)
Y.A. Rozanov

Dover Publications, 1977

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scientists alike.

CK-12 Probability and Statistics - Basic (a Short Course)

CK-12 Foundation, 2012

CK-12 Foundation’s Basic Probability and Statistics – A Short Course is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.

CK-12 Advanced Probability and Statistics

CK-12 Foundation, 2010

CK-12 Foundation's Probability and Statistics (Advanced Placement) FlexBook introduces students to basic topics in statistics and probability but finishes with the rigorous topics an advanced placement course requires.

Probability (Graduate Texts in Mathematics) (v. 95)
Albert N. Shiryaev

Springer, 1995

This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, ergodic theory, weak convergence of probability measures, stationary stochastic processes, and the Kalman-Bucy filter. Many examples are discussed in detail, and there are a large number of exercises. The book is accessible to advanced ...

Introduction to Probability, 2nd Edition
Dimitri P. Bertsekas, John N. Tsitsiklis

Athena Scientific, 2008

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and ...

CK-12 Probability and Statistics - Advanced (Second Edition), Volume 1 Of 2

CK-12 Foundation, 2012

CK-12’s Advanced Probability and Statistics-Second Edition is a clear presentation of the basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires. Volume 1 includes the first 6 chapters and covers the following topics: Analyzing Statistical Data, Visualizations of Data, Discrete Probability Distribution, Normal Distribution, and Experimentation.

A First Course in Probability (8th Edition)
Sheldon Ross

Pearson, 2009

A First Course in Probability, Eighth Edition , features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

Probability, Random Variables and Stochastic Processes
Athanasios Papoulis, S. Unnikrishna Pillai

McGraw-Hill Europe, 2002

The fourth edition of "Probability, Random Variables and Stochastic Processes" has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and ...

Basic Probability Theory (Dover Books on Mathematics)
Robert B. Ash

Dover Publications, 2008

Geared toward advanced undergraduates and graduate students, this introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics. Complete solutions to some of the problems appear at the end of the book. 1970 edition.

Fifty Challenging Problems in Probability with Solutions (Dover Books on Mathematics)
Frederick Mosteller

Dover Publications, 1987

Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest, or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded. Detailed solutions. Illustrated.

Probability Demystified 2/E
Allan Bluman

McGraw-Hill Professional, 2012

Stack the odds in your favor for mastering probability Don't leave your knowledge of probability to chance. Instead, turn to Probability Demystified , Second Edition, for learning fundamental concepts and theories step-by-step. This practical guide eases you into the subject of probability using familiar items such as coins, cards, and dice. As you progress, you will master concepts such as addition and multiplication rules, odds and ...

Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling
William J. Stewart

Princeton University Press, 2009

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide ...

Probability, Statistics, and Random Processes For Electrical Engineering (3rd Edition)
Alberto Leon-Garcia

Prentice Hall, 2008

This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews, summaries, checklists of important terms, annotated references, and a wide selection of ...