A new two-stage multiple comparison procedure for comparing several exponential populations with a control under heteroscedasticity
A new two-stage multiple comparison procedure, which maintains power at a pre-specified level, is proposed to construct simultaneous confidence intervals (SCIs) for the distances of location parameters of k treatments from the location of control under heteroscedasticity of scale parameters by taking k+1 members of two parameter exponential distributions. Simulation study reveals that the proposed two-stage procedure performs better than the existing two-stage procedure of Lam and Ng (1990) in terms of coverage probability and average volume of the simultaneous confidence intervals. No additional tables are required to implement the proposed procedure. Implementation of proposed procedure is demonstrated by taking real life data.
Taiwan's cultural performance and exhibition facilities industry still has considerable capacity for development. The public sector has the output estimate based on the combination of the output and input statistics together. In this case, the problem of duplicate calculation cannot be avoided and the resulting "all-encompassing" expenditure subsidy will not generate maximum economic benefit either. This article proposes to use the methods advocated by Fritz Machlup, Michael Rogers Rubin, Mary Taylor Huber and Elizabeth Lloyd Taylor. That is, from the sources of expenditure side, total output, and set up I-O Table to verify the maximum economic chain effect industry on a forward and backward basis to assist the public sector in focusing on the core development and to use this a reference point for guidance.