Global ETD Search

161	Estimability and testability in linear models Alalouf, Serge. January 1975 (has links) No description available. Estimation theory. Statistical hypothesis testing. Analysis of variance.
162	The array-matrix concept- a new approach to multivariate analysis. Tait, George Rodney. January 1971 (has links) No description available. Matrices Multivariate analysis Control theory Estimation theory
163	Some statistical properties of Laguerre coefficient estimates. Kaufman, David. January 1970 (has links) No description available. System analysis Estimation theory Mathematical statistics
164	The SME filter approach to multiple target tracking with false and missing measurements Lee, Yong Joo 08 1900 (has links) No description available. Electric filters Radar targets Estimation theory
165	Statistical estimation theory applied to synchronous generator modeling Brice, Charles William 08 1900 (has links) No description available. Electric generators Mathematical models Estimation theory
166	Nonlinear estimation with applications to target tracking Bellaire, Robert Louis 08 1900 (has links) No description available. Estimation theory Filters (Mathematics) Nonlinear mechanics
167	Artificial intelligence applied to spectrum estimation Gaby, James Eliot 08 1900 (has links) No description available. Artificial intelligence Spectral theory (Mathematics) Estimation theory
168	A study of nonparametric estimation of location using L-, M- and R-estimators Tra, 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 Robust statistics. Nonparametric statistics. Estimation theory.
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).
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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