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You searched for subject:(Entropy 60). Showing records 1 – 3 of 3 total matches.

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1. Aktunc, Ozgur. An entropy-based measurement framework for component-based hierarchical systems.

Degree: PhD, 2007, University of Alabama – Birmingham

Component-based software systems are becoming larger and more complex. The quantification of these systems is possible through representation in a hierarchical structure with the use of software metrics. Metrics provide information about such features as complexity, design, quality, size, development time, effort, and cost. Entropy-based software metrics promise important improvements in measuring complexity, design quality, and information flow. The entropy-based measurement framework, the core of this dissertation, offers quantitative representation and decomposition processes to apply the entropy-based metrics that we developed: Design Information Content, Interaction Complexity, Interaction Coupling, and Interaction Cohesion. The objective is to achieve a hierarchical representation of the system in which we can see the logic flow and quantify the interaction among the components. The framework is useful to both the designer and the user in the design and maintenance phases to detect structural complexity issues and comprehend the interaction of the software modules. Another motivation of this work is to lead the way to the development of measurement software which uses entropy-based methods. The representation- decomposition methods are based on graph theory, mainly cubic control flowgraphs, and the computation methods are based on information theory, mainly entropy; thus, the entropy-based measurement framework has a solid foundation to become an analytical measurement framework for component-based systems.

xiii, 167 p. : ill. (some col.) digital, PDF file.

Electrical and Computer Engineering

Engineering

Software measuremnt Entropy Software metrics Graphs

UNRESTRICTED

Advisors/Committee Members: Tanik, Murat M., Grimes, Gary J. <br>, Ramamoorthy, Chittoor V. <br>, Tanju, Murat N. <br>Vaughn, Gregg L. <br>, Wells, B. Earl.

Subjects/Keywords: Software measurement <; br>; Component software <; br>; Entropy (Information theory)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Aktunc, O. (2007). An entropy-based measurement framework for component-based hierarchical systems. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,358

Chicago Manual of Style (16th Edition):

Aktunc, Ozgur. “An entropy-based measurement framework for component-based hierarchical systems.” 2007. Doctoral Dissertation, University of Alabama – Birmingham. Accessed October 16, 2019. http://contentdm.mhsl.uab.edu/u?/etd,358.

MLA Handbook (7th Edition):

Aktunc, Ozgur. “An entropy-based measurement framework for component-based hierarchical systems.” 2007. Web. 16 Oct 2019.

Vancouver:

Aktunc O. An entropy-based measurement framework for component-based hierarchical systems. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2007. [cited 2019 Oct 16]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,358.

Council of Science Editors:

Aktunc O. An entropy-based measurement framework for component-based hierarchical systems. [Doctoral Dissertation]. University of Alabama – Birmingham; 2007. Available from: http://contentdm.mhsl.uab.edu/u?/etd,358


Marshall University

2. Otunuga, Oluwaseun Elizabeth. The Pareto-g Extended Weibull Distribution.

Degree: 2017, Marshall University

In this thesis, the Pareto family of extended Weibull distribution is introduced and discussed extensively. This family consists of the Pareto (Type I) Extended Weibull Distribution or PEW for short, and the Pareto (Type II) Extended Weibull Distribution or otherwise called the Lomax Extended Weibull Distribution or LEW for short. The numbers of the parameters of PEW or LEW depend on the number of parameters for the extended Weibull distribution and type of the Pareto distribution. Some properties of these distributions, such as the hazard rate function, the survival function, moments, skewness, kurtosis, mean deviation and entropies are discussed. The maximum likelihood estimation of the parameters and corresponding confidence intervals are also discussed. We demonstrate the applications and versatility of the distributions over some existing distributions by analyzing real-life data sets.

Subjects/Keywords: Entropies; Extended Weibull distribution; Hazard function; Lomax distribution; Maximum likelihood estimation; Pareto distribution; <; p>; Entropy.<; /p>; <; p>; Mathematical statistics.<; /p>; <; p>; Weibull distribution.<; /p>;

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Otunuga, O. E. (2017). The Pareto-g Extended Weibull Distribution. (Thesis). Marshall University. Retrieved from https://mds.marshall.edu/etd/1106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Otunuga, Oluwaseun Elizabeth. “The Pareto-g Extended Weibull Distribution.” 2017. Thesis, Marshall University. Accessed October 16, 2019. https://mds.marshall.edu/etd/1106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Otunuga, Oluwaseun Elizabeth. “The Pareto-g Extended Weibull Distribution.” 2017. Web. 16 Oct 2019.

Vancouver:

Otunuga OE. The Pareto-g Extended Weibull Distribution. [Internet] [Thesis]. Marshall University; 2017. [cited 2019 Oct 16]. Available from: https://mds.marshall.edu/etd/1106.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Otunuga OE. The Pareto-g Extended Weibull Distribution. [Thesis]. Marshall University; 2017. Available from: https://mds.marshall.edu/etd/1106

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Marshall University

3. Mdziniso, Nonhle Channon. The Quotient of the beta-Weibull Distribution.

Degree: 2012, Marshall University

A new class of distributions recently developed involves the logit of the beta distribution. Among this class of distributions are, the beta-Normal (Eugene et al. [15]); beta-Gumbel (Nadarajah and Kotz [18]); beta-Exponential (Nadarajah and Kotz [19]); beta-Weibull (Famoye et al. [6]); beta-Rayleigh (Akinsete and Lowe [3]); beta-Laplace (Kozubowshi and Nadarajah [20]); and beta-Pareto (Akinsete et al. [4]), among a few others. Many useful statistical properties arising from these distributions and their applications to real life data have been discussed in literature. One approach by which a new statistical distribution is generated is by the transformation of random variables having known distribution function(s). The focus of this work is to investigate the statistical properties of the quotient of the beta-Weibull distribution. The latter was defined and extensively studied by Famoye et al. [6]. That is, if X and Y are random variables having a beta-Weibull distribution with parameters a1, B1, c1, and Y1 and a2, B2, c2, and Y2 respectively, i.e. X-BW (a1, B1, c1, and Y1) and Y-BW( a2, B2, c2, and Y2), what then is the distribution of the quotient of X and Y? That is, the distribution of the random variable V = X/Y. We obtain the probability density function (pdf) and the cumulative distribution (cdf) of this distribution. Various statistics of the distribution are obtained, including, for example, moments, moment and characteristic generating functions, hazard function, and the entropy. We propose the method of Maximum Likelihood Estimator (MLE) for estimating the parameters of the distribution. The open source software R and Python are used extensively in implementing our results.

Subjects/Keywords: beta distribution; entropy; estimation; moments; simulation; Weibull distribution; <; p>; Weibull distribution.<; /p>; <; p>; Statistics.<; /p>;

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mdziniso, N. C. (2012). The Quotient of the beta-Weibull Distribution. (Thesis). Marshall University. Retrieved from http://mds.marshall.edu/etd/233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mdziniso, Nonhle Channon. “The Quotient of the beta-Weibull Distribution.” 2012. Thesis, Marshall University. Accessed October 16, 2019. http://mds.marshall.edu/etd/233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mdziniso, Nonhle Channon. “The Quotient of the beta-Weibull Distribution.” 2012. Web. 16 Oct 2019.

Vancouver:

Mdziniso NC. The Quotient of the beta-Weibull Distribution. [Internet] [Thesis]. Marshall University; 2012. [cited 2019 Oct 16]. Available from: http://mds.marshall.edu/etd/233.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mdziniso NC. The Quotient of the beta-Weibull Distribution. [Thesis]. Marshall University; 2012. Available from: http://mds.marshall.edu/etd/233

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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