All About Probability PDF Download
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Author | : Carla Mooney |
Publisher | : Britannica Digital Learning |
Total Pages | : 26 |
Release | : 2014-05-30 |
Genre | : Juvenile Nonfiction |
ISBN | : 1625132123 |
Download All About Probability Book in PDF, ePub and Kindle
Probability measures how likely it is something will happen. Is it more likely or less likely? Possible or impossible? What color crayon is less likely to be picked? Students are introduced to the processes of predicting, investigating, and reasoning. This title also will allow students to determine the main idea of a text, recount the key details, and explain how these details support the main idea.
Author | : David F. Anderson |
Publisher | : Cambridge University Press |
Total Pages | : 447 |
Release | : 2017-11-02 |
Genre | : Mathematics |
ISBN | : 110824498X |
Download Introduction to Probability Book in PDF, ePub and Kindle
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 | : John E. Freund |
Publisher | : Courier Corporation |
Total Pages | : 247 |
Release | : 2012-05-11 |
Genre | : Mathematics |
ISBN | : 0486158438 |
Download Introduction to Probability Book in PDF, ePub and Kindle
Featured topics include permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, much more. Exercises with some solutions. Summary. 1973 edition.
Author | : Ruma Falk |
Publisher | : A K Peters/CRC Press |
Total Pages | : 264 |
Release | : 1993-04-15 |
Genre | : Mathematics |
ISBN | : |
Download Understanding Probability and Statistics Book in PDF, ePub and Kindle
Author | : Henk Tijms |
Publisher | : Cambridge University Press |
Total Pages | : |
Release | : 2012-06-14 |
Genre | : Mathematics |
ISBN | : 1139511076 |
Download Understanding Probability Book in PDF, ePub and Kindle
Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.
Author | : Dimitri Bertsekas |
Publisher | : Athena Scientific |
Total Pages | : 544 |
Release | : 2008-07-01 |
Genre | : Mathematics |
ISBN | : 188652923X |
Download Introduction to Probability Book in PDF, ePub and Kindle
An intuitive, yet precise introduction to probability theory, stochastic processes, statistical inference, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students, and for a leading online class on the subject. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains a number of more advanced topics, including transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes, Bayesian inference, and an introduction to classical statistics. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis is explained intuitively in the main text, and then developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.
Author | : Paul E. Pfeiffer |
Publisher | : Courier Corporation |
Total Pages | : 416 |
Release | : 2013-05-13 |
Genre | : Mathematics |
ISBN | : 0486165663 |
Download Concepts of Probability Theory Book in PDF, ePub and Kindle
Using the Kolmogorov model, this intermediate-level text discusses random variables, probability distributions, mathematical expectation, random processes, more. For advanced undergraduates students of science, engineering, or math. Includes problems with answers and six appendixes. 1965 edition.
Author | : Michael J. Evans |
Publisher | : Macmillan |
Total Pages | : 704 |
Release | : 2004 |
Genre | : Mathematics |
ISBN | : 9780716747420 |
Download Probability and Statistics Book in PDF, ePub and Kindle
Unlike traditional introductory math/stat textbooks, Probability and Statistics: The Science of Uncertainty brings a modern flavor based on incorporating the computer to the course and an integrated approach to inference. From the start the book integrates simulations into its theoretical coverage, and emphasizes the use of computer-powered computation throughout.* Math and science majors with just one year of calculus can use this text and experience a refreshing blend of applications and theory that goes beyond merely mastering the technicalities. They'll get a thorough grounding in probability theory, and go beyond that to the theory of statistical inference and its applications. An integrated approach to inference is presented that includes the frequency approach as well as Bayesian methodology. Bayesian inference is developed as a logical extension of likelihood methods. A separate chapter is devoted to the important topic of model checking and this is applied in the context of the standard applied statistical techniques. Examples of data analyses using real-world data are presented throughout the text. A final chapter introduces a number of the most important stochastic process models using elementary methods. *Note: An appendix in the book contains Minitab code for more involved computations. The code can be used by students as templates for their own calculations. If a software package like Minitab is used with the course then no programming is required by the students.
Author | : David Applebaum |
Publisher | : Cambridge University Press |
Total Pages | : 250 |
Release | : 2008-08-14 |
Genre | : Mathematics |
ISBN | : 9780521727884 |
Download Probability and Information Book in PDF, ePub and Kindle
This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Newly covered for this edition is modern material on Markov chains and their entropy. Examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.
Author | : Marek Capinski |
Publisher | : Springer Science & Business Media |
Total Pages | : 262 |
Release | : 2013-06-29 |
Genre | : Mathematics |
ISBN | : 0387216596 |
Download Probability Through Problems Book in PDF, ePub and Kindle
This book of problems is designed to challenge students learning probability. Each chapter is divided into three parts: Problems, Hints, and Solutions. All Problems sections include expository material, making the book self-contained. Definitions and statements of important results are interlaced with relevant problems. The only prerequisite is basic algebra and calculus.