Elementary Probability
Title | Elementary Probability PDF eBook |
Author | David Stirzaker |
Publisher | Cambridge University Press |
Pages | 540 |
Release | 2003-08-18 |
Genre | Mathematics |
ISBN | 1139441035 |
Now available in a fully revised and updated second edition, this well established textbook provides a straightforward introduction to the theory of probability. The presentation is entertaining without any sacrifice of rigour; important notions are covered with the clarity that the subject demands. Topics covered include conditional probability, independence, discrete and continuous random variables, basic combinatorics, generating functions and limit theorems, and an introduction to Markov chains. The text is accessible to undergraduate students and provides numerous worked examples and exercises to help build the important skills necessary for problem solving.
Elementary Probability Study Guide
Title | Elementary Probability Study Guide PDF eBook |
Author | Terry Croft |
Publisher | |
Pages | 82 |
Release | 2001-11-01 |
Genre | |
ISBN | 9781740550307 |
Introduction to Probability
Title | Introduction to Probability PDF eBook |
Author | Dimitri Bertsekas |
Publisher | Athena Scientific |
Pages | 544 |
Release | 2008-07-01 |
Genre | Mathematics |
ISBN | 188652923X |
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.
Studyguide for Elementary Probability Theory by Chung, K. L.
Title | Studyguide for Elementary Probability Theory by Chung, K. L. PDF eBook |
Author | Cram101 Textbook Reviews |
Publisher | Cram101 |
Pages | 90 |
Release | 2013-05 |
Genre | |
ISBN | 9781490206882 |
Never HIGHLIGHT a Book Again Includes all testable terms, concepts, persons, places, and events. Cram101 Just the FACTS101 studyguides gives all of the outlines, highlights, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanies: 9780872893795. This item is printed on demand.
Probability Concepts (Speedy Study Guides)
Title | Probability Concepts (Speedy Study Guides) PDF eBook |
Author | Speedy Publishing |
Publisher | Speedy Publishing LLC |
Pages | 6 |
Release | 2014-06-18 |
Genre | Education |
ISBN | 1633839400 |
Probability concepts study the likelihood that an event will happen within a certain frequency within a designated duration. These concepts are used in various mathematical and risk assessment models and are used in different aspects of our lives such as crisis management and major event planning. A primary tool of sociologists, a chart would assist one in understanding the various models and concepts and how these concepts are applied in everyday life.
Probability and Statistics
Title | Probability and Statistics PDF eBook |
Author | Michael J. Evans |
Publisher | Macmillan |
Pages | 704 |
Release | 2004 |
Genre | Mathematics |
ISBN | 9780716747420 |
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.
Introduction to Probability
Title | Introduction to Probability PDF eBook |
Author | David F. Anderson |
Publisher | Cambridge University Press |
Pages | 447 |
Release | 2017-11-02 |
Genre | Mathematics |
ISBN | 110824498X |
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.