Statistics & Reliability Discussion Meeting: August 11
Friends,

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The Statistics & Reliability Discussion Group cordially invites you to
attend an outstanding FREE presentation:

Topic: Multiple Comparisons of Binomials with Applications
to The Super Bowl Theory

Speaker: Dr. Jack Tomsky

Host: Dr. John Flaig

Abstract:

Whereas a hypothesis test gives a yes or no dichotomous decision
as to whether the null hypothesis should be accepted, the inversion
into a confidence region give a corresponding quantitative measure
for the parameter in question.  By formulating the null hypothesis
as the intersection of a set of component hypotheses, a set of
simultaneous confidence intervals (that is, multiple comparisons)
is constructed.
 
Multiple comparisons is a tool for determining which comparisons
are responsible for the overall test of a null hypothesis being rejected.  
This talk extends the application of this concept from the well-known
ANOVA comparison of normal means to a comparison of several
binomial distributions.
 
The technique is then applied to the Super Bowl Theory, a theory
which predicts whether the stock market will rise or fall for the
year depending on the outcome of the Super Bowl football game.

Biography:

Jack Tomsky is a statistical consultant.  He wrote his Stanford PhD

dissertation in multivariate analysis.  Dr. Tomsky worked for

Bristol-Myers, IBM, Lockheed-Martin, and Dade Behring in a previous life.

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