A Test of Homogeneity Based on Maximum Likelihood Estimates
Final rept. 15 Dec 1973-15 Jan 1974
WEIBULL (WALODDI) LAUSANNE (SWITZERLAND)
Pagination or Media Count:
A sample is said to be homogeneous, if all its elements are drawn from the same population, otherwise heterogeneous. It is self-evident that there is no sense in estimating the parameters of an assumed distribution from heterogeneous samples. Considering the fact that samples of fatigue test data are frequently composed of elements drawn from two or even three populations, it is an important rule, frequently violated, to start statistical analyses of a given sample by stating whether it is homogeneous or not. A simple test based on the alternative maximum likelihood estimates of the complete sample and of the sample more or less truncated is presented.
- Statistics and Probability
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