Isbn: 9786200049025 - modeling for the lifetime data with applications (15 resultados)

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Paperback or Softback. Condición: New. Modeling for the Lifetime Data with Applications. Book.

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Condición: As New. Unread book in perfect condition.

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Condición: As New. Unread book in perfect condition.

Condición: New.

Taschenbuch. Condición: Neu. Modeling for the Lifetime Data with Applications | Ayat Khaled Sagheer (u. a.) | Taschenbuch | Englisch | 2025 | KS Omniscriptum Publishing | EAN 9786200049025 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In our life there are many distribution that can be used to model life time data. However there are many important problem in which the real data cannot fit any of the previous life time distributions . Wherefore this works deals with new two flexible distributions, which are (the Weibull - Exponentiated Exponential and the Rayleigh_ Exponentiated Exponential) , by finding the cumulative probability and probability density functions of the two distributions and discussion some of statistical and mathematical properties of each moments , variances , the coefficient of skewness , the generating function of moments , entropy , and ordered statistics . The parameters of each of these distribution have estimated using the maximum likelihood , moment method. The useful , of their distribution has explained by application of two real data sets . The proposed distribution are better than (Weibull _Exponentiated Exponential ,Exponential - Weibull , odd Generalized Exponential , Flexible_Weibull ; Weibull Rayleigh , Rayleigh _Rayleigh , extended odd Weibull Rayleigh) through the comparison between them.All computation and plot have done by using program Matlab (R2012b). 96 pp. Englisch. …

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Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In our life there are many distribution that can be used to model life time data. However there are many important problem in which the real data cannot fit any of the previous life time distributions . Wherefore this works deals with new two flexible distributions, which are (the Weibull - Exponentiated Exponential and the Rayleigh_ Exponentiated Exponential) , by finding the cumulative probability and probability density functions of the two distributions and discussion some of statistical and mathematical properties of each moments , variances , the coefficient of skewness , the generating function of moments , entropy , and ordered statistics . The parameters of each of these distribution have estimated using the maximum likelihood , moment method. The useful , of their distribution has explained by application of two real data sets . The proposed distribution are better than (Weibull _Exponentiated Exponential ,Exponential - Weibull , odd Generalized Exponential , Flexible_Weibull ; Weibull Rayleigh , Rayleigh _Rayleigh , extended odd Weibull Rayleigh) through the comparison between them.All computation and plot have done by using program Matlab (R2012b). …

Paperback. Condición: new. Paperback. In our life there are many distribution that can be used to model life time data. However there are many important problem in which the real data cannot fit any of the previous life time distributions . Wherefore this works deals with new two flexible distributions, which are (the Weibull - Exponentiated Exponential and the Rayleigh_ Exponentiated Exponential), by finding the cumulative probability and probability density functions of the two distributions and discussion some of statistical and mathematical properties of each moments, variances, the coefficient of skewness, the generating function of moments, entropy, and ordered statistics . The parameters of each of these distribution have estimated using the maximum likelihood, moment method. The useful, of their distribution has explained by application of two real data sets . The proposed distribution are better than (Weibull _Exponentiated Exponential, Exponential - Weibull, odd Generalized Exponential, Flexible_Weibull; Weibull Rayleigh, Rayleigh _Rayleigh, extended odd Weibull Rayleigh) through the comparison between them.All computation and plot have done by using program Matlab (R2012b). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…