Global ETD Search

1	Bootstrap estimation of variance in survey sampling / Fung, Tze-ho. January 1987 (has links) Thesis (M. Phil.)--University of Hong Kong, 1988.
2	Semiparametric estimation in hazards models with censoring indicators missing at random Liu, Chunling, January 2008 (has links) Thesis (Ph. D.)--University of Hong Kong, 2008. / Includes bibliographical references (leaf 103-113) Also available in print.
3	Covariate-matched estimator of the error variance in nonparametric regression Du, Jichang. January 2007 (has links) Thesis (Ph. D.)--State University of New York at Binghamton, Department of Mathematical Sciences, 2007. / Includes bibliographical references.
4	Toward a comprehensive, unified, framework for analyzing spatial location choice Sivakumar, Aruna, January 1900 (has links) (PDF) Thesis (Ph. D.)--University of Texas at Austin, 2005. / Vita. Includes bibliographical references.
5	A universal two-way approach for estimating unknown frequencies for unknown number of sinusoids in a signal based on eigenspace analysis of Hankel matrix Ahmed, Adeel, Hu, Yim Fun, Noras, James M., Pillai, Prashant 25 April 2015 (has links) Yes / We develop a novel approach to estimate the n unknown constituent frequencies of a noiseless signal that comprises of unknown number, n, of sinusoids of unknown phases and unknown amplitudes. The new two way approach uses two constraints to accurately estimate the unknown frequencies of the sinusoidal components in a signal. The new approach serves as a verification test for the estimated unknown frequencies through the estimated count of the unknown number of frequencies. The Hankel matrix, of the time domain samples of the signal, is used as a basis for further analysis in the Pisarenko harmonic decomposition. The new constraints, the Existence Factor (EF) and the Component Factor (CF), have been introduced in the methodology based on the relationships between the components of the sinusoidal signal and the eigenspace of the Hankel matrix. The performance of the developed approach has been tested to correctly estimate any number of frequencies within a signal with or without a fixed unknown bias. The method has also been tested to accurately estimate the very closely spaced low frequencies. / Innovate UK
6	Parametric methods for frequency-selective MR spectroscopy / Sandgren, Niclas, January 2004 (has links) Lic.-avh. Uppsala : Univ., 2004.
7	A study of selected methods of nonparametric regression estimation / Chkrebtii, Oksana. January 1900 (has links) Thesis (M.Sc.) - Carleton University, 2008. / Includes bibliographical references (p. 114-117). Also available in electronic format on the Internet.
8	Application of ridge regression for improved estimation of parameters in compartmental models / Saha, Angshuman. January 1998 (has links) Thesis (Ph. D.)--University of Washington, 1998. / Vita. Includes bibliographical references (p. [115]-122).
9	Essays on optimal tests for parameter instability Lee, Dong Jin, January 2008 (has links) Thesis (Ph. D.)--University of California, San Diego, 2008. / Title from first page of PDF file (viewed June 16, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 158-164).
10	Judgement post-stratification for designed experiments Du, Juan, January 2006 (has links) Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 143-146).

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