Maximum likelihood analysis of sensitivity test data according to Up and down test plan

Maximum likelihood analysis method of sensitivity test data according to Up and down test plan is proposed. That method is designed in Microsoft Excel sheet utilizing the Solver function. Maximum likelihood point estimates of population mean mu and population standard deviation sigma of the critical stimulus distribution of samples are made certain of good estimates by numerical simulation. And confidence area of mu, sigma are also derived. As results, the shapes of confidence area of mu, sigma with various confidence levels are not concentric circles. Therefore it is not recommended to evaluate confidence limit of mu, sigma independently. Consistency check method between the estimates (mu) over cap, (sigma) over cap and the each test results in Up and down data set is also proposed. By this method, the impact test result on estimation of parameters is can be found.