A new family of continuous probability distributions called Exponential-Gamma-X was generated from transforming a newly developed continuous probability distribution named Exponential-Gamma distribution. The newly developed Exponential-Gamma was studied and expressions for its statistical properties were also derived. The method of maximum likelihood was used to estimate the shape and the scale parameters of the distribution. The newly developed distribution was compared with existing probability distributions such as Exponential and Gamma distributions by applying it to four real life data in order to illustrate its efficiency and flexibility. The results showed that the newly developed distribution for all the data sets were skewed to the right while the distribution behaves differently in term of the kurtosis, also the results obtained for all the data sets used showed that the newly developed distribution performed better than the existing distributions. Finally, the newly developed probability distribution was transformed to a T-X family of continuous distributions called Exponential-Gamma-X family of distributions thereby generalizing a new family of distribution.
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Taiwo Michael Ayeni obtained his B.Sc. and M.Sc. in Statistics at the Ekiti State University Ado-Ekiti, Nigeria. He research and specializes in Probability Theory and Distributions.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A new family of continuous probability distributions called Exponential-Gamma-X was generated from transforming a newly developed continuous probability distribution named Exponential-Gamma distribution. The newly developed Exponential-Gamma was studied and expressions for its statistical properties were also derived. The method of maximum likelihood was used to estimate the shape and the scale parameters of the distribution. The newly developed distribution was compared with existing probability distributions such as Exponential and Gamma distributions by applying it to four real life data in order to illustrate its efficiency and flexibility. The results showed that the newly developed distribution for all the data sets were skewed to the right while the distribution behaves differently in term of the kurtosis, also the results obtained for all the data sets used showed that the newly developed distribution performed better than the existing distributions. Finally, the newly developed probability distribution was transformed to a T-X family of continuous distributions called Exponential-Gamma-X family of distributions thereby generalizing a new family of distribution. 72 pp. Englisch. Bestandsnummer des Verkäufers 9786202552905
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ayeni Taiwo MichaelTaiwo Michael Ayeni obtained his B.Sc. and M.Sc. in Statistics at the Ekiti State University Ado-Ekiti, Nigeria. He research and specializes in Probability Theory and Distributions.A new family of continuous pr. Bestandsnummer des Verkäufers 385947099
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new family of continuous probability distributions called Exponential-Gamma-X was generated from transforming a newly developed continuous probability distribution named Exponential-Gamma distribution. The newly developed Exponential-Gamma was studied and expressions for its statistical properties were also derived. The method of maximum likelihood was used to estimate the shape and the scale parameters of the distribution. The newly developed distribution was compared with existing probability distributions such as Exponential and Gamma distributions by applying it to four real life data in order to illustrate its efficiency and flexibility. The results showed that the newly developed distribution for all the data sets were skewed to the right while the distribution behaves differently in term of the kurtosis, also the results obtained for all the data sets used showed that the newly developed distribution performed better than the existing distributions. Finally, the newly developed probability distribution was transformed to a T-X family of continuous distributions called Exponential-Gamma-X family of distributions thereby generalizing a new family of distribution. Bestandsnummer des Verkäufers 9786202552905
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A new family of continuous probability distributions called Exponential-Gamma-X was generated from transforming a newly developed continuous probability distribution named Exponential-Gamma distribution. The newly developed Exponential-Gamma was studied and expressions for its statistical properties were also derived. The method of maximum likelihood was used to estimate the shape and the scale parameters of the distribution. The newly developed distribution was compared with existing probability distributions such as Exponential and Gamma distributions by applying it to four real life data in order to illustrate its efficiency and flexibility. The results showed that the newly developed distribution for all the data sets were skewed to the right while the distribution behaves differently in term of the kurtosis, also the results obtained for all the data sets used showed that the newly developed distribution performed better than the existing distributions. Finally, the newly developed probability distribution was transformed to a T-X family of continuous distributions called Exponential-Gamma-X family of distributions thereby generalizing a new family of distribution.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Bestandsnummer des Verkäufers 9786202552905
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Taschenbuch. Zustand: Neu. Determination of the Efficiency of Exponential-Gamma Model | Formation of Exponential-Gamma-X Family of Distributions | Taiwo Michael Ayeni | Taschenbuch | 72 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202552905 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 118496502
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