B-Splines and Linear Combinations of Uniform Order Statistics
It is shown in this document that the density of the sum of n independent random variables uniformly distributed on unequal intervals is given by a linear combination of n! B-splines with constant coefficients. Another useful representation of the same density is given using de Boor's definitio...
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description | It is shown in this document that the density of the sum of n independent random variables uniformly distributed on unequal intervals is given by a linear combination of n! B-splines with constant coefficients. Another useful representation of the same density is given using de Boor's definition of the discrete B-spline. It is also shown that the B-spline is the density of a linear combination of order statistics from the uniform distribution on (0,1). This interpretation of the B-spline allows one to establish easily validity of recurrence relations for densities and moments of linear combinations of order statistics as well as to state limit theorems both for B-splines and linear combinations. Examples given illustrate how asymptotic results for B-splines may be applied to linear combinations of order statistics. Using limit theorems of probability theory two examples of Curry and Schoenberg (1966) for B-splines are derived even in somewhat greater generality. |
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B-splines with constant coefficients. Another useful representation of the same density is given using de Boor's definition of the discrete B-spline. It is also shown that the B-spline is the density of a linear combination of order statistics from the uniform distribution on (0,1). This interpretation of the B-spline allows one to establish easily validity of recurrence relations for densities and moments of linear combinations of order statistics as well as to state limit theorems both for B-splines and linear combinations. Examples given illustrate how asymptotic results for B-splines may be applied to linear combinations of order statistics. Using limit theorems of probability theory two examples of Curry and Schoenberg (1966) for B-splines are derived even in somewhat greater generality.</description><language>eng</language><subject>B splines ; COEFFICIENTS ; DISTRIBUTION ; LIMITATIONS ; LINEARITY ; MOMENTS ; ORDER STATISTICS ; PROBABILITY ; RANDOM VARIABLES ; SPLINES ; Statistics and Probability ; THEOREMS ; THEORY</subject><creationdate>1985</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA158151$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ignatov,A G</creatorcontrib><creatorcontrib>Kaishev,V K</creatorcontrib><creatorcontrib>WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER</creatorcontrib><title>B-Splines and Linear Combinations of Uniform Order Statistics</title><description>It is shown in this document that the density of the sum of n independent random variables uniformly distributed on unequal intervals is given by a linear combination of n! B-splines with constant coefficients. Another useful representation of the same density is given using de Boor's definition of the discrete B-spline. It is also shown that the B-spline is the density of a linear combination of order statistics from the uniform distribution on (0,1). This interpretation of the B-spline allows one to establish easily validity of recurrence relations for densities and moments of linear combinations of order statistics as well as to state limit theorems both for B-splines and linear combinations. Examples given illustrate how asymptotic results for B-splines may be applied to linear combinations of order statistics. Using limit theorems of probability theory two examples of Curry and Schoenberg (1966) for B-splines are derived even in somewhat greater generality.</description><subject>B splines</subject><subject>COEFFICIENTS</subject><subject>DISTRIBUTION</subject><subject>LIMITATIONS</subject><subject>LINEARITY</subject><subject>MOMENTS</subject><subject>ORDER STATISTICS</subject><subject>PROBABILITY</subject><subject>RANDOM VARIABLES</subject><subject>SPLINES</subject><subject>Statistics and Probability</subject><subject>THEOREMS</subject><subject>THEORY</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1985</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZLB10g0uyMnMSy1WSMxLUfABshKLFJzzc5My8xJLMvPzihXy0xRC8zLT8otyFfyLUlKLFIJLgDLFJZnJxTwMrGmJOcWpvFCam0HGzTXE2UM3BSgbD1SSl1oS7-jiaGhqYWhqaExAGgD36yzH</recordid><startdate>198505</startdate><enddate>198505</enddate><creator>Ignatov,A G</creator><creator>Kaishev,V K</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>198505</creationdate><title>B-Splines and Linear Combinations of Uniform Order Statistics</title><author>Ignatov,A G ; Kaishev,V K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA1581513</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1985</creationdate><topic>B splines</topic><topic>COEFFICIENTS</topic><topic>DISTRIBUTION</topic><topic>LIMITATIONS</topic><topic>LINEARITY</topic><topic>MOMENTS</topic><topic>ORDER STATISTICS</topic><topic>PROBABILITY</topic><topic>RANDOM VARIABLES</topic><topic>SPLINES</topic><topic>Statistics and Probability</topic><topic>THEOREMS</topic><topic>THEORY</topic><toplevel>online_resources</toplevel><creatorcontrib>Ignatov,A G</creatorcontrib><creatorcontrib>Kaishev,V K</creatorcontrib><creatorcontrib>WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ignatov,A G</au><au>Kaishev,V K</au><aucorp>WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>B-Splines and Linear Combinations of Uniform Order Statistics</btitle><date>1985-05</date><risdate>1985</risdate><abstract>It is shown in this document that the density of the sum of n independent random variables uniformly distributed on unequal intervals is given by a linear combination of n! B-splines with constant coefficients. Another useful representation of the same density is given using de Boor's definition of the discrete B-spline. It is also shown that the B-spline is the density of a linear combination of order statistics from the uniform distribution on (0,1). This interpretation of the B-spline allows one to establish easily validity of recurrence relations for densities and moments of linear combinations of order statistics as well as to state limit theorems both for B-splines and linear combinations. Examples given illustrate how asymptotic results for B-splines may be applied to linear combinations of order statistics. Using limit theorems of probability theory two examples of Curry and Schoenberg (1966) for B-splines are derived even in somewhat greater generality.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | B splines COEFFICIENTS DISTRIBUTION LIMITATIONS LINEARITY MOMENTS ORDER STATISTICS PROBABILITY RANDOM VARIABLES SPLINES Statistics and Probability THEOREMS THEORY |
title | B-Splines and Linear Combinations of Uniform Order Statistics |
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