Properties Relating Independent Chance Variables, Distribution Functions, and Moment-generating Functions

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dc.contributor.authorBruemmer, Arlon W.
dc.date.accessioned2020-01-24T15:35:47Z
dc.date.available2020-01-24T15:35:47Z
dc.date.issued1970-05
dc.description.abstractMost authors of probability and statistics books introduce the definition of a joint-distribution function to prove certain properties involving moment-generating functions for distribution functions of independently distributed chance variables. The purpose of this paper is to show that some of these properties can be established without using the definition of a joint-distribution function. First, some properties involving sets and independent chance variables will be established. These arguments will then be used to obtain the distribution function for the sum of two independent chance variables.
dc.description.departmentBusiness Administration
dc.formatText
dc.format.extent39 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationBruemmer, A. W. (1970). Properties relating independent chance variables, distribution functions, and moment-generating functions (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/9272
dc.language.isoen
dc.subjectchance
dc.subjectdistribution
dc.subjectprobabilities
dc.subjectprobability theory
dc.titleProperties Relating Independent Chance Variables, Distribution Functions, and Moment-generating Functions
dc.typeThesis
thesis.degree.departmentSchool of Business
thesis.degree.grantorSouthwest Texas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Arts

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