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Full-Text Articles in Applied Statistics
A Test For Determining An Appropriate Model For Accelerated Life Data, Yuan-Who Chen
A Test For Determining An Appropriate Model For Accelerated Life Data, Yuan-Who Chen
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
The purpose of this thesis was to evaluate a method for testing the appropriateness of accelerated life model. This method is based upon a polynomial approximation. The parameters are estimated and used for testing the appropriateness of the model.
An example illustrates the polynomial method. Real data are applied for this method. Comparison with another method demonstrates that the polynomial method is much simpler and has comparable accuracy.
A Comparison Of Rank And Bootstrap Procedures For Completely Randomized Designs With Jittering, Feng-Ling Lee
A Comparison Of Rank And Bootstrap Procedures For Completely Randomized Designs With Jittering, Feng-Ling Lee
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
This paper discusses results of a computer simulation to investigate the effect of jittering to simulate measurement error. In addition, the classical F ratio, the bootstrap F and the F for ranked data are compared. Empirical powers and p-values suggest the bootstrap is a good and robust procedure and the rank procedure seems to be too liberal when compared to the classical F ratio.
Nonparametric Confidence Intervals For The Reliability Of Real Systems Calculated From Component Data, Jean Spooner
Nonparametric Confidence Intervals For The Reliability Of Real Systems Calculated From Component Data, Jean Spooner
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
A methodology which calculates a point estimate and confidence intervals for system reliability directly from component failure data is proposed and evaluated. This is a nonparametric approach which does not require the component time to failures to follow a known reliability distribution.
The proposed methods have similar accuracy to the traditional parametric approaches, can be used when the distribution of component reliability is unknown or there is a limited amount of sample component data, are simpler to compute, and use less computer resources. Depuy et al. (1982) studied several parametric approaches to calculating confidence intervals on system reliability. The test …