Generalized inverses, ridge regression, biased linear estimation, and nonlinear estimation

Technometrics

Volumn 12, Issue 3, 1970, Pages 591-612

  Marquaridt, Donald W ^a  

^a DUPONT COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84944477553     PISSN: 00401706     EISSN: 15372723     Source Type: Journal    
DOI: 10.1080/00401706.1970.10488699     Document Type: Article

References (24)

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3. CHIPMAN, J. S. (1964). On Least Squares with Insufficient Observations. J. Amer. Statist. Assoc. 69, 1078-1111.
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10. HOERL, A. E. (1959). Optimum Solution of Many Variable Equations. Chem. Eng. Progr. 65, 69-78.
11. HOERL, A. E. (1962). Application of Ridge Analysis to Regression Problems. C&m. Eng. Progr. 68, 54-59.
12. HOERL, A. E. (1964). Ridge Analysis. Chrn Eng. Progr., Symposium Series 60, 67-77.
13. HOERL, A. E. and R. W. KENNARD. (1970). Ridge Regression. Biased Estimation for Nonorthogonal Problems. Technometrics 12, 55-67.
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15. KENDALL, M. G. (1957). A Course in Multivariate Analysis. Hafner Publishing Co., New York. (See especially Chapter 5.)
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18. MARQUARDT, D. W., R. G. BENNETT, and E. J. BURRELL. (1961). Least-Squares Analysis of Electron Paramagnetic Resonance Spectra. Jour. Molec. Spectroscopy 7, 269-279.
19. MEETER, D. A. (1966). A Newton-Gradient Method for Nonlinear Problems in Hilbert Space. FSU Statistics Report M112, Florida State University.
20. MEETER, D. A. (1966). On a Theorem Used in Nonlinear Least Squares. SIAM J. Appl. Math. 14,1176-1179.
21. PRICE, C. M. (1964). The Matrix Pseudoinverse and Minimal Variance Estimates. SIAM Review 6, 115-120.
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