Global ETD Search

421	Statistical aspects of digital image processing / Winiszewska, Malgorzata, January 1900 (has links) Thesis (M. Sc.)--Carleton University, 2001. / Includes bibliographical references (p. 106-108). Also available in electronic format on the Internet.
422	Steuern und Stoppen undiskontierter Markoffscher Entscheidungsmodelle Fassbender, Matthias. January 1990 (has links) Thesis (doctoral)--Rheinische Friedrich-Wilhelms-Universität Bonn, 1989. / Includes bibliographical references (p. 82-83).
423	Estimation of standardized mortality ratio in epidemiological studies / Wang, Bingxia, January 2002 (has links) (PDF) Thesis (M.A.) in Mathematics and Statistics--University of Maine, 2002. / Includes vita. Includes bibliographical references (leaf 45).
424	Employing a correction of the F-statistic for unreliability of the dependent measure Smith, Sandra Elaine. January 1978 (has links) Thesis (M.S.)--Wisconsin. / Includes bibliographical references (leaves 42-43).
425	Designing and analyzing test programs with censored data for civil engineering applications Finley, Cynthia. Gilbert, Robert B. January 2004 (has links) (PDF) Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisor: Robert B. Gilbert. Vita. Includes bibliographical references.
426	Clustering with mixed variables / Soong Uk Chang. January 2005 (has links) (PDF) Thesis (Ph.D.) - University of Queensland, 2005. / Includes bibliography.
427	Parametric inference from window censored renewal process data Zhao, Yanxing, January 2006 (has links) Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 152-153).
428	Estimation of Standardized Mortality Ratio in Epidemiological Studies Wang, Bingxia January 2002 (has links) (PDF) No description available. Epidemiologic Methods Epidemiology-- Methodology Mathematical statistics Mortality Vital statistics
429	Comparing feature selection algorithms using microarray data Law, Timothy Tao Hin 22 December 2008 (has links) In this thesis study, three different feature selection methods, LASSO, SLR, and SMLR, were tested and compared using microarray fold change data. Two real datasets were used to first investigate and compare the ability of the algorithms in selecting feature genes on data under two conditions. It was found that SMLR was quite sensitive to its parameter, and was more accurate in selecting differentially expressed genes when compared to SLR and LASSO. In addition, the model coefficients generated by SMLR had a close relationship with the magnitude of fold changes. Also, SMLR's ability in selecting differentially expressed genes with data that had more than two conditions was shown to be successful. The results from simulation experiments agreed with the results from the real dataset experiments. Additionally, it was found that different proportions of differentially expressed genes in the data did not affect the performance of LASSO and SLR, but the number of genes selected by SMLR increased with the proportion of regulated genes. Also, as the number of replicates used to build the model increased, the number of genes selected by SMLR increased. This applied to both correctly and incorrectly selected genes. Furthermore, it was found that SMLR performed the best in identifying future treatment samples.
430	Εκτίμηση παραμέτρων κλίμακος και ποσοστιαίων σημείων Πετρόπουλος, Κωνσταντίνος 20 December 2009 (has links) - / - Εκτίμηση, Θεωρία της 519.544 Mathematical statistics

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