Patrick L. Odell
Affiliations: | Baylor University, Waco, TX |
Area:
Statistics, Electronics and Electrical Engineering, Computer ScienceGoogle:
"Patrick Odell"Children
Sign in to add trainee| Truman Orville Lewis | grad student | 1966 | UT Austin (MathTree) |
| Dean M. Young | grad student | 1981 | UT Dallas (MathTree) |
| John W. Seaman | grad student | 1983 | UT Dallas (MathTree) |
| Phillip A. Rhodes | grad student | 2000 | Baylor University |
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Publications
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| Young PD, Young DM, Odell PL. (2015) Quadratic formulae for certain quadratic matrix equations Mathematical Scientist. 40: 35-41 |
| Navarra A, Odell PL, Young DM. (2001) Representation of the general common solution to the matrix equations A |
| Young DM, Odell PL, Hahn W. (2000) Nonnegative-definite covariance structures for which the blu, wls, and ls estimators are equal Statistics & Probability Letters. 49: 271-276 |
| Young DM, Odell PL, Seaman JW. (1994) On The Independence Of The Sample Mean And TranslationāInvariant Statistics For Matrix Normal Distributions Australian & New Zealand Journal of Statistics. 36: 95-100 |
| Dorsett D, Odell PL. (1993) A model for estimating environmental risk using multidimensional quantal response surfaces Mathematical and Computer Modelling. 17: 77-94 |
| Odell PL, Dorsett D. (1990) Models for combining vector estimators of random parameters Mathematical and Computer Modelling. 13: 57-68 |
| Odell PL, Dorsett D, Young D, et al. (1989) Estimator models for combining vector estimators Mathematical and Computer Modelling. 12: 1627-1642 |
| Young DM, Marco VR, Odell PL. (1987) Quadratic discrimination: Some results on optimal low-dimensional representation Journal of Statistical Planning and Inference. 17: 307-319 |
| Young DM, Odell PL. (1986) Feature-subset selection for statistical classification problems involving unequal covariance matrices Communications in Statistics - Theory and Methods. 15: 137-157 |
| Young DM, Marco VR, Odell PL. (1986) Dimension reduction for predictive discrimination Computational Statistics and Data Analysis. 4: 243-255 |