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Articles 31 - 33 of 33
Full-Text Articles in Business
Capability Ratios: Comparison And Interpretation Of Short-Term And Overall Indices, Frank Rudisill, Lewis A. Litteral
Capability Ratios: Comparison And Interpretation Of Short-Term And Overall Indices, Frank Rudisill, Lewis A. Litteral
Management Faculty Publications
The ability of a process to satisfy customer requirements is frequently measured by capability indices. The use and interpretation of these capability indices are often times misguided and or misunderstood by those involved in this aspect of statistical process control. Those who monitor and control processes and/or make decisions based on the reported values of these indices need to have a clear understanding of indices that are reported by or to them. This paper addresses the particular indices of Cp and Pp which indicate the capability of the process based only on its variability and Cpk and …
Minimizing Game Score Violations In College Football Rankings, B. Jay Coleman
Minimizing Game Score Violations In College Football Rankings, B. Jay Coleman
Management Faculty Publications
One metric used to evaluate the myriad ranking systems in college football is retrodictive accuracy. Maximizing retrodictive accuracy is equivalent to minimizing game score violations: the number of times a past game’s winner is ranked behind its loser. None of the roughly 100 current ranking systems achieves this objective. Using a model for minimizing violations that exploits problem characteristics found in college football, I found that all previous ranking systems generated violations that were at least 38 percent higher than the minimum. A minimum-violations criterion commonly would have affected the consensus top five and changed participants in the designated national …
Identifying The Ncaa Tournament "Dance Card", B. Jay Coleman, Allen K. Lynch
Identifying The Ncaa Tournament "Dance Card", B. Jay Coleman, Allen K. Lynch
Management Faculty Publications
The NCAA Basketball Tournament selection committee annually selects the Division I men's teams that should receive at-large bids to the national championship tournament. Although its deliberations are shrouded in secrecy, the committee is supposed to consider a litany of team-performance statistics, many of which outsiders can reasonably estimate. Using a probit analysis on objective team data from 1994 through 1999, we developed an equation that accurately classified nearly 90 percent of 249 "bubble" teams during that time frame and over 85 percent for the 2000 tournament. Given the NCAA Tournament's nickname of the big dance, the equation is effectively the …