Last edited by Tojabar
Friday, May 8, 2020 | History

5 edition of Introduction to probability with mathematica found in the catalog.

Introduction to probability with mathematica

Kevin J. Hastings

Introduction to probability with mathematica

by Kevin J. Hastings

  • 65 Want to read
  • 28 Currently reading

Published by Chapman & Hall/CRC in Boca Raton, FL .
Written in English

    Subjects:
  • Mathematical statistics,
  • Probabilities

  • Edition Notes

    Includes bibliographical references and index.

    StatementKevin Hastings.
    Classifications
    LC ClassificationsQA273.19.E4 H37 2001
    The Physical Object
    Pagination380 p. :
    Number of Pages380
    ID Numbers
    Open LibraryOL22358669M
    ISBN 101584881097

    A Probability Lesson with Mathematica [in Articles] Probability theory in system Mathematica [in MathSource: Packages and Programs] Probability: An Introduction with Statistical Applications [in Books] Probability: An Introduction with Statistical Applications, second edition [in Books] Processing Survey Data [in Articles]. Probability and Statistics Year: An Introduction to Programming with Mathematica, Third Edition. Authors: Paul R. Wellin, Richard J. Gaylord, Samuel N. Kamin. ISBN: (Hardcover) Publisher: Cambridge University Wolfram Language Introductory Book; Fast Introduction for Programmers; Fast Introduction for Math Students.

    Introduction to Probability This introductory probability book, published by the American Mathematical Society, is available from AMS bookshop. It has, since publication, also been available for download herein pdf format. We are pleased that this has made our book more widely available. Introduction to Probability with Mathematica | Hastings K.J. | download | B–OK. Download books for free. Find books.

    famous text An Introduction to Probability Theory and Its Applications (New York: Wiley, ). In the preface, Feller wrote about his treatment of °uctuation in coin tossing: \The results are so amazing and so at variance with common intuition that even sophisticated colleagues doubted that coins actually misbehave as theory by: book, we may have failed to locate some of them. Should holders wish to contact the Publisher, we will be happy to come to some arrangement with them. British Library Cataloguing in Publication Data A modern introduction to probability and statistics. — (Springer texts in statistics) 1. Probabilities 2. Mathematical statistics I. Dekking, F.


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Introduction to probability with mathematica by Kevin J. Hastings Download PDF EPUB FB2

Introduction to Probability with Mathematica adds computational exercises to the traditional undergraduate probability curriculum without cutting out theory. a good textbook for a class with a strong emphasis on hands-on experience with probability.

One interesting feature of the book is that each set of exercises includes a few problems taken from actuarial by: 3. Also, Mathematica has a wide array of new Probability and Statistical functions which are worth learning. This edition does cover Stochastic processes, so it is interesting.

But you would do better by simply buying a Kevin Hastings old textbook real cheap and applying it with Mathematica /5(5). Book Description. Updated to conform to Mathematica ®Introduction to Probability with Mathematica ®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica.

It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. Updated to conform to Mathematica®Introduction to Probability with Mathematica®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica.

It provides a real understanding of probabilistic modeling and the analysis of data. Description Designed as an introductory text for probability theory. By using Mathematica as the supporting technology rather than a statistics package, the author focuses on probability concepts and simulation, rather than on statistical analysis.

Each section of the book exists as a Mathematica notebook on the CRC web site. Updated for Mathematica 7, Introduction to Probability with Mathematica, Second Edition, continues to show students how to easily create simulations from templates and solve problems using Mathematica.

It provides a real understanding of probabilistic modeling and the analysis of data and Introduction to probability with mathematica book the application of these ideas.

Updated for Mathematica 7, Introduction to Probability with Mathematica, Second Edition, continues to show students how to easily create simulations from templates and solve problems using Mathematica.

It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application. $\begingroup$ The best book by far for probability and statistics and Mathematica is "Mathematical Statistics with Mathematica" by Colin Rose and Murray Smith and it includes great software: $\endgroup$ – JimB Mar 22 at Updated to conform to Mathematica ®Introduction to Probability with Mathematica ®, Second Edition continues to show students how to easily create simulations from templates and solve problems using provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems/5(4).

Introduction to Probability by John E. Freund feels like an ordinary text that plays out the same just like the others I read in college. There is an attempt to explain some of the topics offered: possibilities, probabilities, combinations, permutations, conditional probabilities, Venn diagrams, Bayes' rule, and probability by: ISBN: Idea Makers: Personal Perspectives on the Lives & Ideas of Some Notable People.

Author: Stephen Wolfram. ISBN: Introduction to Mathematica with Applications. Author: Marian Mureşan. ISBN: Mathematica Beyond Mathematics: The Wolfram Language in the Real World. probability is covered, students should have taken as a prerequisite two terms of calculus, including an introduction to multiple integrals.

In order to cover Chap- which contains material on Markov chains, some knowledge of matrix theory is necessary. The text can also be used in a discrete probability course. The material has beenCited by: Designed as an introductory text for probability theory.

By using Mathematica as the supporting technology rather than a statistics package, the author focuses on probability concepts and simulation, rather than on statistical analysis. Each section of the book exists as a. Updated to conform to Mathematica ®Introduction to Probability with Mathematica ®, Second Edition continues to show students how to easily create simulations from templates and solve problems using Mathematica.

It provides a real understanding of probabilistic modeling and the analysis of data and encourages the application of these ideas to practical problems. Introduction to Probability offers an authoritative text that presents the main ideas and concepts, as well as the theoretical background, models, and applications of probability.

The authors—noted experts in the field—include a review of problems where probabilistic models naturally arise, discuss the appropriate statistical methods, and explain how these models fit into the data presented.

"Introduction to Probability with Mathematica is a text that uses a powerful computer algebra system as a pedagogical tool for learning and using probability. Its clever use of simulation to illustrate concepts and motivate important theorems gives it an important and unique place in the library of probability.

Introduction to probability with mathematica. [Kevin J Hastings] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Contacts Search for a Library. Create Book\/a>, schema:CreativeWork\/a> ; \u00A0\u00A0\u00A0 library.

Introduction to Mathematical Probability Paperback – January 1, by J. Uspensky (Author)/5(15). The book covers all areas in a typical introductory probability course.

The course would be appropriate for seniors in mathematics or statistics or data science or computer science. It is also appropriate for first year graduate students in any of these fields. Accuracy rating: 5. The book is very accurate. Relevance/Longevity rating: /5(6).

Probability [pred, x ] represents the probability for an event that satisfies a predicate pred under the assumption that the chosen random variable x follows an indicated probability distribution (i.e.

is a discrete or continuous distribution such as NormalDistribution, BinomialDistribution, ChiSquareDistribution, etc.) or is taken from a given. The book also discusses more advanced topics you will not easily find in other introductory probability books.

The more advanced topics include Kelly betting, random walks, and Brownian motion, Benford's law, and absorbing Markov chains for success runs.

Another asset of the book is a great introduction to Bayesian inference.Stochastic Processes and Applications --App. A.

Introduction to Mathematica --App. B. Glossary of Mathematica Commands for Probability --App. C. Short Answers to Selected Exercises. Series Title: Textbooks in mathematics (Boca Raton, Fla.). Introduction to Probability with Mathematica adds computational exercises to the traditional undergraduate probability curriculum without cutting out theory.

a good textbook for a class with a strong emphasis on hands-on experience with probability. One interesting feature of the book is that each set of exercises includes a few Price: $