|
Statistics & Reliability Group Meeting: August 11 |
|
|
|
|
Statistics & Reliability Discussion Meeting: August 11 Friends,
Please forward this invitation to your colleagues, and RSVP to me (
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
) if you plan to attend.
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.
Please RSVP
This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
at least two days prior to the meeting if possible.
|
|
Read more...
|