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  • About
  • 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.

Maximum Likelihood and Least Squares Estimation

Goddard, Jennifer McDonald DaCosta January 1978 (has links)
1 volume

Maximum likelihood estimation of parameters with constraints in normaland multinomial distributions

Xue, Huitian., 薛惠天. January 2012 (has links)
Motivated by problems in medicine, biology, engineering and economics, con- strained parameter problems arise in a wide variety of applications. Among them the application to the dose-response of a certain drug in development has attracted much interest. To investigate such a relationship, we often need to conduct a dose- response experiment with multiple groups associated with multiple dose levels of the drug. The dose-response relationship can be modeled by a shape-restricted normal regression. We develop an iterative two-step ascent algorithm to estimate normal means and variances subject to simultaneous constraints. Each iteration consists of two parts: an expectation{maximization (EM) algorithm that is utilized in Step 1 to compute the maximum likelihood estimates (MLEs) of the restricted means when variances are given, and a newly developed restricted De Pierro algorithm that is used in Step 2 to find the MLEs of the restricted variances when means are given. These constraints include the simple order, tree order, umbrella order, and so on. A bootstrap approach is provided to calculate standard errors of the restricted MLEs. Applications to the analysis of two real datasets on radioim-munological assay of cortisol and bioassay of peptides are presented to illustrate the proposed methods. Liu (2000) discussed the maximum likelihood estimation and Bayesian estimation in a multinomial model with simplex constraints by formulating this constrained parameter problem into an unconstrained parameter problem in the framework of missing data. To utilize the EM and data augmentation (DA) algorithms, he introduced latent variables {Zil;Yil} (to be defined later). However, the proposed DA algorithm in his paper did not provide the necessary individual conditional distributions of Yil given (the observed data and) the updated parameter estimates. Indeed, the EM algorithm developed in his paper is based on the assumption that{ Yil} are fixed given values. Fortunately, the EM algorithm is invariant under any choice of the value of Yil, so the final result is always correct. We have derived the aforesaid conditional distributions and hence provide a valid DA algorithm. A real data set is used for illustration. / published_or_final_version / Statistics and Actuarial Science / Master / Master of Philosophy

The jackknife : theory and applications /

Chandramouli, Kohur N. January 1976 (has links)
No description available.

Estimation of parameters in incomplete compositional data

倪鴻文, Ngai, Hung-man. January 1987 (has links)
published_or_final_version / Statistics / Master / Master of Philosophy

Channel Estimation Using Superimposed Scheme in MIMO-OFDM Systems

Li, Wei-ting 27 August 2007 (has links)
In this thesis, channel estimation technique in Multiple Input Multiple Output - Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems is investigated. Channel estimation plays an important role in the receiver performance of the MIMO-OFDM systems. In this thesis, the Space-Frequency Block Codes - Orthogonal Frequency Division Multiplexing (SFBC-OFDM) structure with the superimposed training scheme are adopted to increase bandwidth efficiency. In addition to using the first-order statistics of the received signal to reduce the interference induced by the unknown signals, the modified least square (MLS) estimator and the decision-feedback scheme are combined together to improve the channel estimation. In contrast to the conventional interference cancellation scheme for channel estimations adopting the decision feedback mechanism, the structure of the SFBC is utilized to decrease the interference. Furthermore, the effects of the decision-feedback scheme with erroneous decisions upon channel estimation are also examined. Analytical results show that the proposed method has better performance and computation complexity is not increased.

Selecting tuning parameters in minimum distance estimators.

Warwick, Jane. January 2001 (has links)
Thesis (Ph. D.)--Open University. BLDSC no. DXN049325.

A novel augmented graph approach for estimation in localisation and mapping

Thompson, Paul Robert. January 2009 (has links)
Thesis (Ph. D.)--University of Sydney, 2009. / Title from title screen (viewed December 9, 2009) Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the Australian Centre for Field Robotics, School of Aerospace, Mechanical and Mechatronic Engineering in the Faculty of Science. Includes graphs and tables. Includes bibliographical references. Also available in print form.

Estimation of parameters in incomplete compositional data /

Ngai, Hung-man. January 1900 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1989.

A continuum modeling approach to traffic equilibrium problems

Ho, Hung-wai. January 2005 (has links)
Thesis (Ph. D.)--University of Hong Kong, 2005. / Title proper from title frame. Also available in printed format.

Asymptotic study of the change-point MLE under contiguous change and its applications

Tan, Li. January 2010 (has links) (PDF)
Thesis (Ph. D.)--Washington State University, August 2010. / Title from PDF title page (viewed on July 28, 2010). "College of Business." Includes bibliographical references (p. 116-123).

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