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Algebraic Specification of Statistical Models for Analysis of Variance Computations
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Source Journal of the ACM (JACM) archive
Volume 11 ,  Issue 2  (April 1964) table of contents
Pages: 234 - 239  
Year of Publication: 1964
ISSN:0004-5411
Author
W. J. Hemmerle  Iowa State University, Ames, Iowa
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

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ABSTRACT

A method for computing an analysis of variance from an algebraic specification of the statistical model is described. The model is written in a form consistent with usual statistical notation but also suitable for computer input and logical manipulation. Calculations necessary to obtain the analysis of variance are then determined by the model. An outline of the computational procedure is given.


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
HARTLEY, H. O. Analysis of variance. In Ralston, Anthony, and Wiif, Herbert S., Eds., Mathematical Methods for Digital Computers, pp. 221-230, Wiley, New York,
 
2
HEMnRLE, W.J. The logical structure of analysis of variance and its implementation on digital computers. Ph.D. thesis, Iowa State U. Library, 1963.
 
3
AAaDVARK. Statistical Lab., Iowa State U., 1963. (Reference Manual)

CITED BY  2
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
J. E. Schlater , W. J. Hemmerle, Statistical computations based upon algebraically specified models, Communications of the ACM, v.9 n.12, p.865-869, Dec. 1966

INDEX TERMS

Primary Classification:
  G. Mathematics of Computing

Additional Classification:
  I. Computing Methodologies
  I.1 SYMBOLIC AND ALGEBRAIC MANIPULATION


General Terms:
Algorithms, Measurement, Performance

Collaborative Colleagues:
W. J. Hemmerle: colleagues

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