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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 161 to 170 of 448 (0.25 seconds)Spelling suggestions: "subject:"anestimation theory"" "subject:"3destimation theory""
| 161 |
Estimability and testability in linear modelsAlalouf, Serge. January 1975 (has links)
No description available.
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| 162 |
The array-matrix concept- a new approach to multivariate analysis.Tait, George Rodney. January 1971 (has links)
No description available.
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| 163 |
Some statistical properties of Laguerre coefficient estimates.Kaufman, David. January 1970 (has links)
No description available.
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| 164 |
The SME filter approach to multiple target tracking with false and missing measurementsLee, Yong Joo 08 1900 (has links)
No description available.
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| 165 |
Statistical estimation theory applied to synchronous generator modelingBrice, Charles William 08 1900 (has links)
No description available.
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| 166 |
Nonlinear estimation with applications to target trackingBellaire, Robert Louis 08 1900 (has links)
No description available.
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| 167 |
Artificial intelligence applied to spectrum estimationGaby, James Eliot 08 1900 (has links)
No description available.
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| 168 |
A study of nonparametric estimation of location using L-, M- and R-estimatorsTra, Yolande January 1994 (has links)
Nonparametric procedures use weak assumptions such as continuity of the distribution so that they are applicable to a large class F of underlying distributions. Statistics that are distribution-free over F may be constructed to be estimators of location. Such estimators are derived from rank tests called R-estimators. They are robust estimators. The concept of robust estimation is based on a neighborhood of parametric models called "gross error models". The M-estimator, which is a maximum likelihood type estimator, arose from such investigations using the normal distribution. A third big class of estimators is the class of linear combinations of order statistics called L-estimators. They are constructed as an average of quantiles. Examples are the sample mean and the sample median.In this thesis, some definitions and results involving these three basic classes of estimates are provided. For each class, an example of a robust estimator is presented. Numerical values are given to assess the robustness of each estimator in terms of breakdown point and gross error sensitivity. Further, the U-statistics which are unbiased estimators of location parameters, are used to obtain asymptotically efficient R-estimates. / Department of Mathematical Sciences
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| 169 |
High resolution gamma detector for small-animal positron emission tomography /Ling, Tao, January 2007 (has links)
Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (p. 143-157).
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| 170 |
Protein dynamics : a study of the model-free analysis of NMR relaxation data /d'Auvergne, Edward James. January 2006 (has links)
Thesis (Ph.D.)--University of Melbourne, Dept. of Biochemistry and Molecular Biology, 2006. / Includes bibliographical references (p. 339-350).
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