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The joint distribution of the standardized row sums of squares from a balanced two-way layout

By: Material type: ArticleArticleLanguage: English Publication details: United Kingdom : Taylor and Francis, 1975.ISSN:
  • 0162-1459
  • 1537-274X (Online)
Subject(s): In: Journal of the American Statistical Association v. 72, no. 358, p. 407-411, 1977Summary: A balanced two-way layout with no interaction is considered with the observations yij being arranged in r rows and c columns (i 1, .. ., r, j = 1, . . ., c). The error sum of squares for each row is defined as SX = Ei=l (yq - - j + . )2, and the total error sum of squares is defined as S = FZ=1 Si. The joint distribution of SI, ..., Sk (k < r) and the joint distribution of S1/S, ..., Sk/S (k < r) are derived. The distributional results are of the form conjectured by N.L. Johnson (1962). Finally, a procedure is considered for testing equality of the variances in the different rows which assumes the column variances are equal.
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Article CIMMYT Knowledge Center: John Woolston Library Reprints Collection REP-170 (Browse shelf(Opens below)) Available
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A balanced two-way layout with no interaction is considered with the observations yij being arranged in r rows and c columns (i 1, .. ., r, j = 1, . . ., c). The error sum of squares for each row is defined as SX = Ei=l (yq - - j + . )2, and the total error sum of squares is defined as S = FZ=1 Si. The joint distribution of SI, ..., Sk (k < r) and the joint distribution of S1/S, ..., Sk/S (k < r) are derived. The distributional results are of the form conjectured by N.L. Johnson (1962). Finally, a procedure is considered for testing equality of the variances in the different rows which assumes the column variances are equal.

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