PERBANDINGAN ANALISIS JUMLAH KUADRAT ANTARA MODEL TETAP DAN MODEL ACAK PADA PERLAKUAN DUA FAKTOR
This research intended to know the forming process of variance structure of experiment by using expectations of sum square on model constant, and random. Ratio F tests were done by mean sum square of treatment divided by mean sum square of error. Result description of sum square expectation corresponds to Cornfield's algorithm and Tukey in looking for Mean Square Expectation point intermediates conduct. This algorithm result mixed model version with Restriction. Mean Square Expectation point intermediates to be of important is looked for to determine ratio F test. Determination of Ratio tests F adjusted by manner structure on Mean square expectation. On constant model, its manner variance structure is variance error. Therefore denominator in ratio F tests for all conduct factors is mean square error. On random model, its manner variance structure is variance all treatments and variance error. Denominator in ratio F tests good for random model being adjusted by component point that exists in Mean square expectation each Treatment
Keywords: mean square expectation, mixed model, mean square error
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