Current Search: Nonparametric statistics (x)
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Title
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Reliability analyses and risk assessment techniques in nonparametric applications.
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Creator
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Ross, Robert Thomas., Florida Atlantic University, Mazouz, Abdel Kader, College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering
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Abstract/Description
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Reliability and risk assessment play an important role in product design, development and production. In mass production items, data is abundant and testing in product development and certification is usually thorough. In contrast, for nonparametric applications, product cost is high, there is limited production and the product is often used only once and discarded. In this type of manufacturing, data is usually limited because of the cost of testing. This makes reliability and risk...
Show moreReliability and risk assessment play an important role in product design, development and production. In mass production items, data is abundant and testing in product development and certification is usually thorough. In contrast, for nonparametric applications, product cost is high, there is limited production and the product is often used only once and discarded. In this type of manufacturing, data is usually limited because of the cost of testing. This makes reliability and risk assessments a difficult task. To circumvent this shortfall in data and its analysis, it is the intent of this paper to provide an alternative approach to models for reliability and risk analysis. This was accomplished by first surveying existing literature and models; then, approaching the problem with a set of block diagrams for each of the required analyses. Additionally, a full set of current models and failure analysis tools were also incorporated. With these tools the proposed methodology was demonstrated in case studies. These studies provided the validation for the methodology presented.
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Date Issued
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2002
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PURL
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http://purl.flvc.org/fcla/dt/12896
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Subject Headings
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Nonparametric statistics, New products, Reliability (Engineering)
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Format
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Document (PDF)
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Title
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The Use Of Overlapping Vs. Non-Overlapping Moving Block Bootstrapping To Estimate The Variance Of A Statistic Of Dependent Data.
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Creator
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Davis, Benjamin F., Radulovic, Dragan, Florida Atlantic University
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Abstract/Description
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Determining the variance of a statistic (such as the sample median) can be difficult. Various methods of Bootstrapping (re-sampling with replacement) were used to estimate variance of one or more statistics based on a single sample. This estimator was compared to the empirical estimators based on repeated simulations of various sample sizes from a given distribution. Of particular interest was which of the methods of Bootstrapping were most effective with a dependent data set. Different...
Show moreDetermining the variance of a statistic (such as the sample median) can be difficult. Various methods of Bootstrapping (re-sampling with replacement) were used to estimate variance of one or more statistics based on a single sample. This estimator was compared to the empirical estimators based on repeated simulations of various sample sizes from a given distribution. Of particular interest was which of the methods of Bootstrapping were most effective with a dependent data set. Different degrees of dependency were used for the simulations with dependent data.
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Date Issued
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2008
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PURL
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http://purl.flvc.org/fau/fd/FA00000738
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Subject Headings
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Bootstrap (Statistics), Social sciences--Statistical methods, Mathematical statistics, Sampling (Statistics), Estimation theory, Nonparametric statistics
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Format
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Document (PDF)
