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Collection by: Paul E Pfeiffer. E-mail the author

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Name: Applied Probability
ID: col10708
Language: English (en)
Summary: The present collection utilizes a number of user defined m-programs, in combination with built in MATLAB functions, for solving a variety of probabilistic problems. These m-files are included as text files in the collection New Prob m-files. We use the term m-function to designate a user-defined function as distinct from the basic MATLAB functions which are part of the MATLAB package. An m-procedure (or sometimes a procedure) is an m-file containing a set of MATLAB commands which carry out a prescribed set of operations. Generally, these will prompt for (or assume) certain data upon which the procedure is carried out. We use the term m-program (or often m-file) to refer to either an m-function or an m-procedure. Although most of the m-programs were written for MATLAB version 4.2, they work for versions 5.1, 5.2, and 7.04. The latter versions offer some new features which may make more efficient implementation of some of the m-programs, and which make possible some new ones. With one exception (so noted), these are not exploited in this collection, because of the pedagogical value of dealing with explicitly developed procedures whose dependence on basic MATLAB is displayed. These programs, with perhaps some exceptions, also run on the MATLAB alternatives SCILAB and OCTAVE. Users of these latter programs should be able to make appropriate adjustments if needed. In addition to the m-programs there is a collection of m-files for specific problems with properly formatted data which can be entered into the workspace by calling the file. These m-files come from a variety of sources ( e.g., exams or problem sets, hence the odd names) and may be useful for examples and exercises. This collection is in the text file New Prob mfiles.
Subject: Mathematics and Statistics, Science and Technology
Keywords: conditional independence, conditional probability, covariance, distribution and density functions, Independence of events, linear regression, minterm, Probability, Probability Systems, random variables and probabilities, random vectors and joint distributions, transform methods, variance
License: Creative Commons Attribution License CC-BY 3.0
Authors: Paul E Pfeiffer (perhp@earthlink.net)
Copyright Holders: Paul E Pfeiffer (perhp@earthlink.net)
Maintainers: Paul E Pfeiffer (perhp@earthlink.net), Daniel Williamson (dcwill@cnx.org), C. Sidney Burrus (csb@rice.edu)
Latest version: 1.6 (history)
First publication date: May 19, 2009 11:37 am GMT-5
Last revision to collection: Aug 31, 2009 2:35 pm GMT-5

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Version History

Version: 1.6 Aug 31, 2009 2:35 pm GMT-5 by Daniel Williamson
Changes: 
added supplemental link to the collection module directing people to the Topics in applied probability collection
Version: 1.5 Aug 13, 2009 12:33 pm GMT-5 by Daniel Williamson
Changes: 
updated the collection summary
Version: 1.4 Jun 19, 2009 11:41 am GMT-5 by Daniel Williamson
Changes: 
m-file fixes, supplemental links, metadata updated, updated collection contents: added problems matlab files
Version: 1.3 Jun 9, 2009 5:41 pm GMT-5 by Daniel Williamson
Changes: 
added problem modules and mfile module(PP)
Version: 1.2 May 27, 2009 4:10 pm GMT-5 by Paul E Pfeiffer
Changes: 
Initial
Version: 1.1 May 27, 2009 11:58 am GMT-5 by Paul E Pfeiffer
Changes: 
content

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Pfeiffer P. Applied Probability [Connexions Web site]. August 31, 2009. Available at: http://cnx.org/content/col10708/1.6/.

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Pfeiffer, P. (2009, August 31). Applied Probability. Retrieved from the Connexions Web site: http://cnx.org/content/col10708/1.6/

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Pfeiffer, Paul. "Applied Probability." Connexions. August 31, 2009. http://cnx.org/content/col10708/1.6/.

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Paul Pfeiffer, "Applied Probability," Connexions, August 31, 2009, http://cnx.org/content/col10708/1.6/.

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Pfeiffer, P. 2009. Applied Probability. Connexions, August 31, 2009. http://cnx.org/content/col10708/1.6/.

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Pfeiffer, Paul. Applied Probability. Connexions. 31 Aug. 2009 <http://cnx.org/content/col10708/1.6/>.