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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.

Bootstrap Confidence Intervals of Fit Indexes: A Comprehensive Study

Cheng, Chuchu January 2021 (has links)
Thesis advisor: Hao Wu / Thesis advisor: Ehri Ryu / In SEM, fit indexes provide useful information about how well a hypothesized model fits the population. Bootstrap has been applied to construct confidence internals for fit indexes. We proposed the most recent method for constructing confidence intervals (CIs) of fit indexes (Cheng & Wu, 2017): the bootstrap-test-based method. This dissertation includes the most popular bootstrap CI methods and the bootstrap-test-based method. In addition to the percentile bootstrap CI method used in Zhang and Savalei (2016), we also included other popular bootstrap CI methods. For all bootstrap CI methods, we explored their performances with and without the transformation proposed by Yuan, Hayashi, and Yanagihara (2007). In this process, we also solved computation difficulty for Studentized CI. The bootstrap-test-based method is improved by using alternative search statistics. As the previous approaches were not extended to nonnormal conditions, the CI estimation for fit indexes with nonnormal data are investigated for both bootstrap CI and bootstrap-test-based methods, using adjusted definitions of fit indexes for nonnormal data. Different nonnormal data generation techniques are applied. This dissertation presents a comprehensive comparison of bootstrap CI methods and the bootstrap-test-based method under various conditions. From the simulation results, the CIs for fit indexes under the bootstrap-test-based method are more accurate than most bootstrap CI methods. The results also show that the bootstrap-test-based method can be generalized well to non-normal data. The confidence bounds coverage by bootstrap-test-based method are closer to their nominal levels. / Thesis (PhD) — Boston College, 2021. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Psychology.

Statistical depth functions and depth-based robustness diagnosis

Lok, Wing-sze., 駱穎思. January 2005 (has links)
published_or_final_version / abstract / Statistics and Actuarial Science / Master / Master of Philosophy

Parameter-free designs and confidence regions for nonlinear models

Bumrungsup, Chinnaphong, January 1984 (has links)
Thesis (Ph. D.)--University of Florida, 1984. / Description based on print version record. Typescript. Vita. Includes bibliographical references (leaves 101-104).

Statistical depth functions and depth-based robustness diagnosis

Lok, Wing-sze. January 2005 (has links)
Thesis (M. Phil.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

A study of nonparametric inference problems using Monte Carlo methods

Ho, Hoi-sheung., 何凱嫦. January 2005 (has links)
published_or_final_version / abstract / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy

Simulated confidence regions for parameters in epidemiological models

Carpenter, James R. January 1996 (has links)
No description available.

Estimating the large-scale structure of the universe using QSO carbon IV absorbers /

Loh, Ji Meng. January 2001 (has links)
Thesis (Ph. D.)--University of Chicago, Department of Statistics, August 2001. / Includes bibliographical references. Also available on the Internet.

Confidence intervals for computable general equilibrium models

Tuladhar, Sugandha Dhar 28 August 2008 (has links)
Not available / text

On exact algorithms for small-sample bootstrap iterations and their applications

Chan, Yuen-fai., 陳遠輝. January 2000 (has links)
published_or_final_version / Statistics and Actuarial Science / Master / Master of Philosophy

Semi-parametric inference for the partial area under the ROC curve

Sun, Fangfang. January 2008 (has links)
Thesis (M.S.)--Georgia State University, 2008. / Title from file title page. Gengsheng Qin, committee chair; Yu-Sheng Hsu, Yixin Fang, Yuanhui Xiao, committee members. Description based on contents viewed July 22, 2009. Includes bibliographical references (p. 29-30).

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