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Statistical computations based upon algebraically specified models
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Source
Communications of the ACM archive
Volume 9 ,  Issue 12  (December 1966) table of contents
Pages: 865 - 869  
Year of Publication: 1966
ISSN:0001-0782
Authors
J. E. Schlater  United States Steel Corp., Monroeville, PA
W. J. Hemmerle  Univ. of Rhode Island, Kingston, RI
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 11,   Citation Count: 1
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abstract   references   cited by   collaborative colleagues  

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ABSTRACT

Based upon a machine-readable statistical model and related symbolic specifications, an efficient method of performing calculations for statistical models of a balanced complete nature is presented. Fixed, mixed, and random analysis of variance models are considered. A procedure for obtaining variance components and calculated F statistics for the model terms is included.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
W. J. Hemmerle, Algebraic Specification of Statistical Models for Analysis of Variance Computations, Journal of the ACM (JACM), v.11 n.2, p.234-239, April 1964  [doi>10.1145/321217.321227]
 
2
SATTERTHWAITE, F. E. An approximate distribution of estimates of variance components. Biometrics 2 (1946), 110-114.
 
3
SCHEFFE, HENRY. The Analysis of Variance. John Wiley, New York, 1959.
 
4
SCHLATER, J .E . Analysis of variance and covariance computations on a digital computer for balanced complete structures based on algebraic model specifications. M.S. Thesis, Iowa State U. Library, 1965.

CITED BY
William J. Hemmerle, Algorithm 591: A Comprehensive Matrix-Free Algorithm for Analysis of Variance, ACM Transactions on Mathematical Software (TOMS), v.8 n.4, p.383-401, Dec. 1982
Collaborative Colleagues:
J. E. Schlater: colleagues
W. J. Hemmerle: colleagues

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