Generating valid 4 × 4 correlation matrices

Applied Mathematics E - Notes

Volumn 7, Issue , 2007, Pages 53-59

  Budden, Mark ^a   Hadavas, Paul ^a   Hoffman, Lorrie ^a   Pretz, Chris ^b  

^a Armstrong State University   (United States)

^b UNIVERSITY OF WYOMING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33847323057     PISSN: 16072510     EISSN: 16072510     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. yx are fixed, Educational and Psychological Measurement, 30(1970), 37-39.
2. R. Harris, A Primer of Multivariate Statistics, Lawrence Erlbaum Associates, Mahwah, NJ, 2001.
3. C.-K. Leung and K. Lam, A Note on the geometric representation of the correlation coefficients, The American Statistician, 29(1975), 128-130.
4. J.C. Liechty, M.W. Liechty, P. and Muller, Bayesian correlation estimation, Biometrika, 9(2004), 1-14.
5. G. Marsaglia and I. Olkin, Generating correlation-matrices, SIAM Journal on Scientific and Statistical Computing, 5(2)(1984), 470-475.
6. I. Olkin, Range restrictions for product-moment correlation matrices, Psychometrika, 46(1981), 469-472.
7. P. Rousseeuw and G. Molenberghs, The shape of correlation matrices, The American Statistician, 48(1994), 276-279.
8. 23, Educational and Psychological Measurement, 29(1969), 579-581.
9. R. Tyagi and C. Das, Grouping customers for better allocation of resources to serve correlated demands, Computers and Operations Research, 26(1999), 1041-1058.
10. K. Xu and P. Evers, Managing single echelon inventories through demand aggregation and the feasibility of a correlation matrix, Computers and Operations Research, 30(2003), 297-308.