Items related to Skew-Normal Distribution with a Cauchy Skewing Function
Synopsis
The skew-normal distribution using the Cauchy CDF “skew-normal-Cauchy or SNC(λ)” is introduced to relieve some problems associated with the well-known skew-normal distribution. Two versions of maximum likelihood estimation methods are used. The first one is the maximum likelihood estimation with a penalty function used on its bias which was developed by Firth. The second one is the maximum likelihood estimation with a new penalty function that is suggested in this work. The latter method is based on an approximate penalty function which mimics the exact function suggested by Firth. Also, some features of SNC(λ) are compared to those in the well-known skew-normal distribution. Two versions of goodness of fit test for skew-normal using Cauchy SNC(λ), are conducted. The first test is Pearson’s Chi-squared test, and the second is the Anderson-Darling (A-D) test. Finally, probability tables for several values of (λ) were produced to conduct the Anderson-Darling (A-D) test.
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About the Author
Mohammad Zainal/ Education:- Ph.D. in Statistics, 2005, University of California, Riverside.- M.S. in Statistics, 2002, University of California, Riverside- B.S. in Mechanical Engineering, 1996, Kuwait University, Kuwait.Interests:- Numerical Methods, Statistical Computing.- Shape Parameters Estimation in Skew-Symmetric Distributions.
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Skew-Normal Distribution with a Cauchy Skewing Function
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The skew-normal distribution using the Cauchy CDF 'skew-normal-Cauchy or SNC( )' is introduced to relieve some problems associated with the well-known skew-normal distribution. Two versions of maximum likelihood estimation methods are used. The first one is the maximum likelihood estimation with a penalty function used on its bias which was developed by Firth. The second one is the maximum likelihood estimation with a new penalty function that is suggested in this work. The latter method is based on an approximate penalty function which mimics the exact function suggested by Firth. Also, some features of SNC( ) are compared to those in the well-known skew-normal distribution. Two versions of goodness of fit test for skew-normal using Cauchy SNC( ), are conducted. The first test is Pearson's Chi-squared test, and the second is the Anderson-Darling (A-D) test. Finally, probability tables for several values of ( ) were produced to conduct the Anderson-Darling (A-D) test. 128 pp. Englisch. Seller Inventory # 9783659838859
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The skew-normal distribution using the Cauchy CDF 'skew-normal-Cauchy or SNC( )' is introduced to relieve some problems associated with the well-known skew-normal distribution. Two versions of maximum likelihood estimation methods are used. The first one is the maximum likelihood estimation with a penalty function used on its bias which was developed by Firth. The second one is the maximum likelihood estimation with a new penalty function that is suggested in this work. The latter method is based on an approximate penalty function which mimics the exact function suggested by Firth. Also, some features of SNC( ) are compared to those in the well-known skew-normal distribution. Two versions of goodness of fit test for skew-normal using Cauchy SNC( ), are conducted. The first test is Pearson's Chi-squared test, and the second is the Anderson-Darling (A-D) test. Finally, probability tables for several values of ( ) were produced to conduct the Anderson-Darling (A-D) test. Seller Inventory # 9783659838859
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Skew-Normal Distribution with a Cauchy Skewing Function
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zainal MohammadMohammad Zainal/ Education:- Ph.D. in Statistics, 2005, University of California, Riverside.- M.S. in Statistics, 2002, University of California, Riverside- B.S. in Mechanical Engineering, 1996, Kuwait University, Kuwa. Seller Inventory # 151429017
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Skew-Normal Distribution with a Cauchy Skewing Function
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Scholars' Press Sep 2016, 2016
ISBN 10: 3659838853
ISBN 13: 9783659838859
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The skew-normal distribution using the Cauchy CDF ¿skew-normal-Cauchy or SNC(¿)¿ is introduced to relieve some problems associated with the well-known skew-normal distribution. Two versions of maximum likelihood estimation methods are used. The first one is the maximum likelihood estimation with a penalty function used on its bias which was developed by Firth. The second one is the maximum likelihood estimation with a new penalty function that is suggested in this work. The latter method is based on an approximate penalty function which mimics the exact function suggested by Firth. Also, some features of SNC(¿) are compared to those in the well-known skew-normal distribution. Two versions of goodness of fit test for skew-normal using Cauchy SNC(¿), are conducted. The first test is Pearson¿s Chi-squared test, and the second is the Anderson-Darling (A-D) test. Finally, probability tables for several values of (¿) were produced to conduct the Anderson-Darling (A-D) test.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783659838859
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Skew-Normal Distribution with a Cauchy Skewing Function
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Taschenbuch. Condition: Neu. Skew-Normal Distribution with a Cauchy Skewing Function | Mohammad Zainal | Taschenbuch | 128 S. | Englisch | 2016 | Scholars' Press | EAN 9783659838859 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 103164252