Random effects are particularly useful in insurance studies, to capture residual heterogeneity or to induce cross-sectional and/or serial dependence, opening hence the door to many applications ...
What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...
Sankhyā: The Indian Journal of Statistics, Series B (1960-2002), Vol. 46, No. 1 (Apr., 1984), pp. 29-35 (7 pages) Expression for the distribution of the ratio of mean squares in balanced one-way ...
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