Typescript (photocopy). / Digitized by Kansas Correctional Industries

Typescript (photocopy). / Digitized by Kansas Correctional Industries

Call number: LD2668 .T4 1956 W74 / Master of Science

Call number: LD2668 .T4 1962 C48

Call number: LD2668 .T4 1979 G55 / Master of Science

Call number: LD2668 .T4 1985 A28 / Master of Science

Call number: LD2668 .T4 1985 M86 / Master of Science

LD2668 .T4 1962 K44

International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, Nevada / In many engineering applications, a systems analysis is performed to study the effects of random error propagation throughout a system. Often these errors are not independent, and have joint behavior characterized by arbitrary covariance structure. The multivariate nature of such problems is compounded in complex systems, where overall system performance is described by a q-dimensional random vector. To address this problem, a computer program was developed which generates Taylor series approximations for multivariate system performance in the presence of random component variablilty. A summary of an application of this approach is given in which an analysis was performed to assess simultaneous design margins and to ensure optimal component selection.

This study sought to understand how the application of a network analysis of rugby gameplay could inform coaches of their teams’ patterns of play in an effort to aid their teams’ performance. A qualitative case study utilizing open-ended interviews and a process of evaluation and constant comparison served as a guiding framework for this the data collection and data analysis methods incorporated during this study. Results of the study identified four key findings. First, incorporating elements of community based action research into the design of a case study provided the researcher with an opportunity to build effective working relationships with both participants. Second, providing coaches with effective feedback that informed them of their player’s performance was critical to the performance analysis (PA) process. Third, modifying the network analysis process to meet the participant’s needs was key in providing applicable analysis during the cases study. Fourth, performance analysts and coaches, like those in this case study, require video feedback, linked to the network analysis, if the network analysis process is to be considered informative. Finally, creating a PA process that is able to adapt to the coaches changing needs as well as the work cycles the organization proceeds through is a benefit of the NA process that we developed. / Graduate