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Author: Carol Ash Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: Category : Mathematics Languages : en Pages : 488
Book Description
A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
Author: Carol Ash Publisher: Institute of Electrical & Electronics Engineers(IEEE) ISBN: Category : Mathematics Languages : en Pages : 488
Book Description
A self-study guide for practicing engineers, scientists, and students, this book offers practical, worked-out examples on continuous and discrete probability for problem-solving courses. It is filled with handy diagrams, examples, and solutions that greatly aid in the comprehension of a variety of probability problems.
Author: Hugh Gordon Publisher: Springer Science & Business Media ISBN: 1461219663 Category : Mathematics Languages : en Pages : 272
Book Description
Intended as a first course in probability at post-calculus level, this book is of special interest to students majoring in computer science as well as in mathematics. Since calculus is used only occasionally in the text, students who have forgotten their calculus can nevertheless easily understand the book, and its slow, gentle style and clear exposition will also appeal. Basic concepts such as counting, independence, conditional probability, random variables, approximation of probabilities, generating functions, random walks and Markov chains are all clearly explained and backed by many worked exercises. The 1,196 numerical answers to the 405 exercises, many with multiple parts, are included at the end of the book, and throughout, there are various historical comments on the study of probability. These include biographical information on such famous contributors as Fermat, Pascal, the Bernoullis, DeMoivre, Bayes, Laplace, Poisson, and Markov. Of interest to a wide range of readers and useful in many undergraduate programs.
Author: David F. Anderson Publisher: Cambridge University Press ISBN: 110824498X Category : Mathematics Languages : en Pages : 447
Book Description
This classroom-tested textbook is an introduction to probability theory, with the right balance between mathematical precision, probabilistic intuition, and concrete applications. Introduction to Probability covers the material precisely, while avoiding excessive technical details. After introducing the basic vocabulary of randomness, including events, probabilities, and random variables, the text offers the reader a first glimpse of the major theorems of the subject: the law of large numbers and the central limit theorem. The important probability distributions are introduced organically as they arise from applications. The discrete and continuous sides of probability are treated together to emphasize their similarities. Intended for students with a calculus background, the text teaches not only the nuts and bolts of probability theory and how to solve specific problems, but also why the methods of solution work.
Author: M. Fogiel Publisher: Research & Education Assoc. ISBN: 9780878919581 Category : Probabilities Languages : en Pages : 0
Book Description
Specifically designed to meet the needs of high school students, REA’s High School Probability Tutor presents hundreds of solved problems with step-by-step and detailed solutions. Almost any imaginable problem that might be assigned for homework or given on an exam is covered. Topics include the basic concepts of probability, counting, discrete distributions, binomial and multinomial distributions, continuous distributions, conditional probability, expectation, joint distributions, functions of random variables, and sampling theory. Fully indexed for locating specific problems rapidly.
Author: Robert B. Ash Publisher: Academic Press ISBN: 9780120652020 Category : Mathematics Languages : en Pages : 536
Book Description
Probability and Measure Theory, Second Edition, is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. Clear, readable style Solutions to many problems presented in text Solutions manual for instructors Material new to the second edition on ergodic theory, Brownian motion, and convergence theorems used in statistics No knowledge of general topology required, just basic analysis and metric spaces Efficient organization
Author: John R. Fanchi Publisher: John Wiley & Sons ISBN: 0471791547 Category : Mathematics Languages : en Pages : 361
Book Description
Expanded coverage of essential math, including integral equations, calculus of variations, tensor analysis, and special integrals Math Refresher for Scientists and Engineers, Third Edition is specifically designed as a self-study guide to help busy professionals and students in science and engineering quickly refresh and improve the math skills needed to perform their jobs and advance their careers. The book focuses on practical applications and exercises that readers are likely to face in their professional environments. All the basic math skills needed to manage contemporary technology problems are addressed and presented in a clear, lucid style that readers familiar with previous editions have come to appreciate and value. The book begins with basic concepts in college algebra and trigonometry, and then moves on to explore more advanced concepts in calculus, linear algebra (including matrices), differential equations, probability, and statistics. This Third Edition has been greatly expanded to reflect the needs of today's professionals. New material includes: * A chapter on integral equations * A chapter on calculus of variations * A chapter on tensor analysis * A section on time series * A section on partial fractions * Many new exercises and solutions Collectively, the chapters teach most of the basic math skills needed by scientists and engineers. The wide range of topics covered in one title is unique. All chapters provide a review of important principles and methods. Examples, exercises, and applications are used liberally throughout to engage the readers and assist them in applying their new math skills to actual problems. Solutions to exercises are provided in an appendix. Whether to brush up on professional skills or prepare for exams, readers will find this self-study guide enables them to quickly master the math they need. It can additionally be used as a textbook for advanced-level undergraduates in physics and engineering.
Author: Nikolai Dokuchaev Publisher: World Scientific Publishing Company ISBN: 9814678058 Category : Business & Economics Languages : en Pages : 224
Book Description
This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics. It is suitable for a 10- to 14-week course for second- or third-year undergraduate students in Science, Mathematics, Statistics, Finance, or Economics, who have completed some introductory course in Calculus. There is a sufficient number of problems and solutions to cover weekly tutorials.
Author: Joseph K. Blitzstein Publisher: CRC Press ISBN: 1466575573 Category : Mathematics Languages : en Pages : 599
Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Author: Madeleine Gardner Publisher: ISBN: Category : Core academic skills for educators Languages : en Pages : 250
Book Description
I know how you feel. Why should I have to take this test? I'm not going to be a math teacher! Thousands of others have felt the same way. We have found that this workbook will increase your chances of passing the test exponentially! This is a workbook to enable you to pass the Core Academic Skills for Educators: Mathematics (5732). You can now use a calculator for this test but, of course, they have made it harder. Now you have to memorize a lot of formulas but, don't worry, I will provide them all for you in this book. There are questions with multiple correct answers and there are questions where you have to fill in the blank. Samples of each type of question are included in the book. Core Math Made Easy is written in very clear and easy to understand language. The four chapters cover the four sections of the test: Number & Quantity, Algebra & Functions, Geometry, and Probability and Statistics. There are samples of each type of question on the test and answer keys that guide you through each problem in detail. At the end of each section, you will find sample test questions and explanations. Core Math Made Easy is currently being used as the textbook for the workshops at George Mason University. - Publisher.
Author: Carol Ash
Author: Carol Ash
Author: Hugh Gordon
Author: David F. Anderson
Author: M. Fogiel
Author: Robert B. Ash
Author: John R. Fanchi
Author: Nikolai Dokuchaev
Author: Joseph K. Blitzstein
Author: Madeleine Gardner
Author: David J. Morin