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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.
21

Multiple comparisons for the balanced two-way factorial : an applied Bayes rule (k-ratio) approach

Pennello, Gene A. 28 September 1993 (has links)
Graduation date: 1994
22

Multiple comparison and selection of location parameters of exponential populations

吳焯基, Ng, Cheuk-key, Allen. January 1990 (has links)
published_or_final_version / Statistics / Doctoral / Doctor of Philosophy
23

Multiple comparison and selection of location parameters of exponential populations /

Ng, Cheuk-key, Allen. January 1990 (has links)
Thesis (Ph. D.)--University of Hong Kong, 1990.
24

An Empirical Investigation of Marascuilo's Ú₀ Test with Unequal Sample Sizes and Small Samples

Milligan, Kenneth W. 08 1900 (has links)
The study seeks to determine the effect upon the Marascuilo Ú₀ statistic of violating the small sample assumption. The study employed a Monte Carlo simulation technique to vary the degree of sample size and unequal sample sizes within experiments to determine the effect of such conditions, Twenty-two simulations, with 1200 trials each, were used. The following conclusion appeared to be appropriate: The Marascuilo Ú₀ statistic should not be used with small sample sizes and it is recommended that the statistic be used only if sample sizes are larger than ten.
25

Statistical Analysis of Operational Data for Manufacturing System Performance Improvement

Wang, Zhenrui January 2013 (has links)
The performance of a manufacturing system relies on its four types of elements: operators, machines, computer system and material handling system. To ensure the performance of these elements, operational data containing various aspects of information are collected for monitoring and analysis. This dissertation focuses on the operator performance evaluation and machine failure prediction. The proposed research work is motivated by the following challenges in analyzing operational data. (i) the complex relationship between the variables, (ii) the implicit information important to failure prediction, and (iii) data with outliers, missing and erroneous measurements. To overcome these challenges, the following research has been conducted. To compare operator performance, a methodology combining regression modeling and multiple comparisons technique is proposed. The regression model quantifies and removes the complex effects of other impacting factors on the operator performance. A robust zero-inflated Poisson (ZIP) model is developed to reduce the impacts of the excessive zeros and outliers in the performance metric, i.e. the number of defects (NoD), on regression analysis. The model residuals are plotted in non-parametric statistical charts for performance comparison. The estimated model coefficients are also used to identify under-performing machines. To detect temporal patterns from operational data sequence, an algorithm is proposed for detecting interval-based asynchronous periodic patterns (APP). The algorithm effectively and efficiently detects pattern through a modified clustering and a convolution-based template matching method. To predict machine failures based on the covariates with erroneous measurements, a new method is proposed for statistical inference of proportional hazard model under a mixture of classical and Berkson errors. The method estimates the model coefficients with an expectation-maximization (EM) algorithm with expectation step achieved by Monte Carlo simulation. The model estimated with the proposed method will improve the accuracy of the inference on machine failure probability. The research work presented in this dissertation provides a package of solutions to improve manufacturing system performance. The effectiveness and efficiency of the proposed methodologies have been demonstrated and justified with both numerical simulations and real-world case studies.
26

Controlling Type 1 errors in moderated multiple regression an application of item response theory for applied psychological research /

Morse, Brendan J. January 2009 (has links)
Thesis (Ph.D.)--Ohio University, August, 2009. / Title from PDF t.p. Includes bibliographical references.
27

Beyond gender : taking a multi-status approach to understanding students' positioning in STEM /

Singh, Ashima, January 2008 (has links)
Thesis (Ph.D.) -- University of Rhode Island, 2008. / Typescript. Includes bibliographical references (leaves 104-113).
28

Analýza funkcionálních dat / Functional data analysis

Jurica, Tomáš January 2021 (has links)
The aim of the master thesis is to review of reconstruction techniques of func- tional data and existing one-way functional ANOVA (FANOVA) tests. Specif- ically, the work deals with L2 -norm based and F-type mean functions equality tests, L2 -norm based covariance functions equality tests and tests for distri- bution equality. Furthermore, for each type of the test, it is introduced test based on reconstructed functional data, using orthornormal basis functions of L2 space. Finally, simulation study was conducted for comparing properties of tests using orthonormal basis representation of functional data and tests applied on non-reconstructed data. 1
29

Sensitivity to Distributional Assumptions in Estimation of the ODP Thresholding Function

Bunn, Wendy Jill 06 July 2007 (has links) (PDF)
Recent technological advances in fields like medicine and genomics have produced high-dimensional data sets and a challenge to correctly interpret experimental results. The Optimal Discovery Procedure (ODP) (Storey 2005) builds on the framework of Neyman-Pearson hypothesis testing to optimally test thousands of hypotheses simultaneously. The method relies on the assumption of normally distributed data; however, many applications of this method will violate this assumption. This thesis investigates the sensitivity of this method to detection of significant but nonnormal data. Overall, estimation of the ODP with the method described in this thesis is satisfactory, except when the nonnormal alternative distribution has high variance and expectation only one standard deviation away from the null distribution.
30

Multiple Comparisons under Unequal Variances and Its Application to Dose Response Studies

Li, Hong 28 September 2009 (has links)
No description available.

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