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Bayesian inference for models with monotone densities and hazard rates /Ho, Man Wai. January 2002 (has links)
Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002. / Includes bibliographical references (leaves 110-114). Also available in electronic version. Access restricted to campus users.
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Resampling algorithms for improved classification and estimationSoleymani, Mehdi. January 2011 (has links)
published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy
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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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Contributions to parametric and nonparametric inference in life testing /Ng, Hon Keung Tony. Balakrishnan, N., January 2002 (has links)
Thesis (Ph.D.)--McMaster University, 2002. / Adviser: N. Balakrishnan. Includes bibliographical references. Also available via World Wide Web.
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Contributions to parametric and nonparametric inference in life testing /Ng, Hon Keung Tony. Balakrishnan, N., January 2002 (has links)
Thesis (Ph.D.)--McMaster University, 2002. / Adviser: N. Balakrishnan. Includes bibliographical references. Also available via World Wide Web.
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Clasificación noparamétrica en datos direccionales /Velasco Forero, Santiago Antonio. January 2004 (has links) (PDF)
Thesis (M.S.)--Universidad de Puerto Rico, Recinto Universitario de Mayagüez, 2004. / Tables. Printout. Abstract in Spanish and English. Includes bibliographical references (leaves 78-82).
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Nonparametric and semiparametric regression, missing data, and related algorithmsLi, Mingyu, January 2010 (has links)
Thesis (Ph. D.)--Rutgers University, 2010. / "Graduate Program in Statistics and Biostatistics." Includes bibliographical references.
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Essays on nonparametric econometrics with applications to consumer and financial economicsZheng, Yi. January 1900 (has links)
Thesis (Ph.D.)--The Ohio State University, 2008. / Adviser: Abdoul Sam. Includes bibliographical references.
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Understanding air quality data using nonparametric regression analysisYoon, Heesong. January 1900 (has links)
Thesis (Ph.D.)--University of Southern California, 2006. / Adviser: Ronald C. Henry. Includes bibliographical references.
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Three essays on the nonparametric evaluation of treatment effects /Vytlacil, Edward. January 2000 (has links)
Thesis (Ph. D.)--University of Chicago, Dept. of Economics, June 2000. / Includes bibliographical references. Also available on the Internet.
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