Widely Usable Unconditional Models for Analysis of Variance with Fixed or Random Effects
SOUTHERN METHODIST UNIV DALLAS TX
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Many results for statistical investigations are valid for more general models than were used in their development. This is the case for situations where independence or zero correlation, equal variances, and sometimes joint normality are assumed for sets of random variables. This research investigates extended uses of standard results for some analysis of variance situations. Many methods are found to be usable with much more general models, although not all types of effects can be investigated. The research also provides investigation methods that are usable for all the effects. Moreover, the extended models associated with these methods are much more general than those for the standard methods.
- Statistics and Probability