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Technometrics Volume 25, 1983 - Issue 4
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Original Articles

The Derivative of |X′X| and Its Uses

Douglas Bates Department of Statistics, University of Wisconsin, Madison, WI, 53706
Pages 373-376 | Published online: 23 Mar 2012

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K. Zhen Yao, Benjamin M. Shaw, Bo Kou, Kim B. McAuley & D. W. Bacon. (2003) Modeling Ethylene/Butene Copolymerization with Multi‐site Catalysts: Parameter Estimability and Experimental Design. Polymer Reaction Engineering 11:3, pages 563-588.
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Mark E. Johnson. (2000) Discussion. Journal of Quality Technology 32:1, pages 28-29.
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A.C. Atkinson & A.N. Donev. (1996) Experimental Designs Optimally Balanced for Trend. Technometrics 38:4, pages 333-341.
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S.P. Smith. (1995) Differentiation of the Cholesky Algorithm. Journal of Computational and Graphical Statistics 4:2, pages 134-147.
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Probal Chaudhuri & PerA. Mykland. (1993) Nonlinear Experiments: Optimal Design and Inference Based on Likelihood. Journal of the American Statistical Association 88:422, pages 538-546.
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Ian Ford, D.M. Titterington & ChristosP. Kitsos. (1989) Recent Advances in Nonlinear Experimental Design. Technometrics 31:1, pages 49-60x.
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Ruth K. Meyer & Christopher J. Nachtsheim. (1988) Constructing Exact D-Optimal Experimental Designs by Simulated Annealing. American Journal of Mathematical and Management Sciences 8:3-4, pages 329-359.
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IhorO. Bohachevsky, MarkE. Johnson & MyronL. Stein. (1986) Generalized Simulated Annealing for Function Optimization. Technometrics 28:3, pages 209-217.
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DouglasM. Bates & DonaldG. Watts. (1985) Multiresponse Estimation With Special Application to Linear Systems of Differential Equations. Technometrics 27:4, pages 329-339.
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Douglas M. Bates & Donald G. Watts. (1984) A multi-response gauss-newton algorithm. Communications in Statistics - Simulation and Computation 13:5, pages 705-715.
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Articles from other publishers (1)

Douglas M. Bates & Donald G. Watts. (1987) A Generalized Gauss-Newton Procedure for Multiresponse Parameter Estimation. SIAM Journal on Scientific and Statistical Computing 8:1, pages 49-55.
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