• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 39
  • 8
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 3
  • 1
  • Tagged with
  • 53
  • 53
  • 53
  • 53
  • 18
  • 17
  • 16
  • 10
  • 10
  • 8
  • 8
  • 7
  • 7
  • 7
  • 6
  • 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.
11

Statistical analysis of failure time data with missing information

Chen, Ping, Sun, Jianguo, January 2009 (has links)
Title from PDF of title page (University of Missouri--Columbia, viewed on Feb 11, 2010). The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. Dissertation advisor: Dr. (Tony) Jianguo Sun. Vita. Includes bibliographical references.
12

Nonparametric analysis of bivariate censored data

Popovich, Edward Anthony, January 1983 (has links)
Thesis (Ph. D.)--University of Florida, 1983. / Description based on print version record. Typescript. Vita. Includes bibliographical references (leaf 83).
13

Statistical analysis of multivariate interval-censored failure time data

Wang, Lianming, January 2006 (has links)
Thesis (Ph.D.)--University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 2, 2007) Vita. Includes bibliographical references.
14

Nonparametric and semiparametric methods for interval-censored failure time data

Zhu, Chao, January 2006 (has links)
Thesis (Ph.D.)--University of Missouri-Columbia, 2006. / The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 2, 2007) Vita. Includes bibliographical references.
15

Burn-in with mixed populations /

Pan, Un-Quei Winkey January 1987 (has links)
No description available.
16

The effectiveness of missing data techniques in principal component analysis

Maartens, Huibrecht Elizabeth January 2015 (has links)
A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of requirements for the degree of Master of Science. Johannesburg, 2015. / Exploratory data analysis (EDA) methods such as Principal Component Analysis (PCA) play an important role in statistical analysis. The analysis assumes that a complete dataset is observed. If the underlying data contains missing observations, the analysis cannot be completed immediately as a method to handle these missing observations must first be implemented. Missing data are a problem in any area of research, but researchers tend to ignore the problem, even though the missing observations can lead to incorrect conclusions and results. Many methods exist in the statistical literature for handling missing data. There are many methods in the context of PCA with missing data, but few studies have focused on a comparison of these methods in order to determine the most effective method. In this study the effectiveness of the Expectation Maximisation (EM) algorithm and the iterative PCA (iPCA) algorithm are assessed and compared against the well-known yet flawed methods of case-wise deletion (CW) and mean imputation. Two techniques for the application of the multiple imputation (MI) method of Markov Chain Monte Carlo (MCMC) with the EM algorithm in a PCA context are suggested and their effectiveness is evaluated compared to the other methods. The analysis is based on a simulated dataset and the effectiveness of the methods analysed using the sum of squared deviations (SSD) and the Rv coefficient, a measure of similarity between two datasets. The results show that the MI technique applying PCA in the calculation of the final imputed values and the iPCA algorithm are the most effective techniques, compared to the other techniques in the analysis.
17

The distinction of simulated failure data by the likelihood ratio test

Drayer, Darryl D January 2011 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
18

Detection of outliers in failure data

Gallup, Donald Robert January 2011 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
19

Statistical analysis of interval-censored and truncated survival data /

Lim, Hee-Jeong, January 2001 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 112-115). Also available on the Internet.
20

Statistical analysis of interval-censored and truncated survival data

Lim, Hee-Jeong, January 2001 (has links)
Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 112-115). Also available on the Internet.

Page generated in 0.1208 seconds