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Journal of the American Statistical Association Volume 77, 1982 - Issue 377
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Theory and Method

Nonorthogonal Analysis of Variance Using a Generalized Conjugate-Gradient Algorithm

Gene H. Golub Computer Science Department, Stanford University, Stanford, CA, 94305, USA
&
Stephen G. Nash Computer Science Department, Stanford University, Stanford, CA, 94305, USA
Pages 109-116 | Received 01 Aug 1979, Published online: 12 Mar 2012

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Mortaza Jamshidian & RobertI. Jennrich. (1993) Conjugate Gradient Acceleration of the EM Algorithm. Journal of the American Statistical Association 88:421, pages 221-228.
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David M. Rocke & David F. Shanno. (1986) The scale problem in robust regression M- estimates. Journal of Statistical Computation and Simulation 24:1, pages 47-69.
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Articles from other publishers (5)

Yunxiao He & Chuanhai Liu. (2012) The Dynamic ‘Expectation–Conditional Maximization Either’ Algorithm. Journal of the Royal Statistical Society Series B: Statistical Methodology 74:2, pages 313-336.
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George Ostrouchov. (1989) ANOVA Model Fitting via Sparse Matrix Computations: A Fast Direct Method. SIAM Journal on Scientific and Statistical Computing 10:1, pages 58-71.
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HESTER R. COOPER, JACQUELINE D. PATTEN & ROBERT H. FLETCHER. (2006) Effect of Some Insoluble Milk Proteins on Sensory Characteristics of Appearance and Texture in Cookies. Journal of Food Science 49:2, pages 376-379.
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John C. Nash. 1983. Computer Science and Statistics: Proceedings of the 14th Symposium on the Interface. Computer Science and Statistics: Proceedings of the 14th Symposium on the Interface 86 90 .
William J. Hemmerle. (1982) Algorithm 591: A Comprehensive Matrix-Free Algorithm for Analysis of Variance. ACM Transactions on Mathematical Software 8:4, pages 383-401.
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