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David A. Heiser wrote:
> First Gautam Sethi used the term "convolution" for the product to
> two (uniform) densities. Aniko responded with a definition of
> convolution as the sum of two random variables. Then Jan de Leeuw
> stated that "convolution is the distribution of the sum". Herman Rubin
> stated that "convolution is the distribution of the sum". The idea
> that "convolution" represents the distribution of the sum of two
> distributions continues in the additional E mails.
Are these folks saying that where y=x1+x2, that y is the convolution of
x1 and x2? If so, given data for variables A and B, how can we
determine whether A or B is the convolution of the other and some third
unmeasured variable?
Bill Chambers
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<P>David A. Heiser wrote:
<BLOCKQUOTE TYPE=CITE> <STYLE></STYLE>
<FONT SIZE=-1>First Gautam
Sethi used the term "convolution" for the product to two (uniform) densities.
Aniko responded with a definition of convolution as the sum of two random
variables. Then Jan de Leeuw stated that "convolution is the distribution
of the sum". Herman Rubin stated that "convolution is the distribution
of the sum". The idea that "convolution" represents the distribution of
the sum of two distributions continues in the additional E mails.</FONT></BLOCKQUOTE>
Are these folks saying that where y=x1+x2, that y is the convolution of
x1 and x2? If so, given data for variables A and B, how can we determine
whether A or B is the convolution of the other and some third unmeasured
variable?
<P>Bill Chambers
</BODY>
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