Skew-Normal Distribution with a Cauchy Skewing Function
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Skew-Normal Distribution with a Cauchy Skewing Function (2016)
DE PB NW
ISBN: 9783659838859 bzw. 3659838853, in Deutsch, SPS Sep 2016, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Rheinberg-Buch [53870650], Bergisch Gladbach, Germany.
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.
Von Händler/Antiquariat, Rheinberg-Buch [53870650], Bergisch Gladbach, Germany.
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.
2
Skew-Normal Distribution with a Cauchy Skewing Function (2016)
DE PB NW
ISBN: 9783659838859 bzw. 3659838853, in Deutsch, Sps, Taschenbuch, neu.
Lieferung aus: Schweiz, Versandfertig innert 6 - 9 Tagen.
Skew-Normal Distribution with a Cauchy Skewing Function, 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. Taschenbuch, 27.09.2016.
Skew-Normal Distribution with a Cauchy Skewing Function, 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. Taschenbuch, 27.09.2016.
3
Skew-Normal Distribution with a Cauchy Skewing Function
DE NW
ISBN: 9783659838859 bzw. 3659838853, in Deutsch, neu.
Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
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.
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.
4
Skew-Normal Distribution with a Cauchy Skewing Function
~EN NW AB
ISBN: 9783659838859 bzw. 3659838853, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Niederlande, Lieferzeit: 5 Tage, zzgl. Versandkosten.
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.
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.
5
Skew-Normal Distribution with a Cauchy Skewing Function
~EN PB NW
ISBN: 9783659838859 bzw. 3659838853, vermutlich in Englisch, SPS, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Skew-Normal Distribution with a Cauchy Skewing Function: 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. Englisch, Taschenbuch.
Skew-Normal Distribution with a Cauchy Skewing Function: 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. Englisch, Taschenbuch.
6
Skew-Normal Distribution with a Cauchy Skewing Function
DE HC NW
ISBN: 9783659838859 bzw. 3659838853, in Deutsch, Scholar´S Press, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
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 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. Lieferzeit 1-2 Werktage.
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 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. Lieferzeit 1-2 Werktage.
7
Skew-Normal Distribution with a Cauchy Skewing Function
~EN PB NW
ISBN: 3659838853 bzw. 9783659838859, vermutlich in Englisch, SPS, Taschenbuch, neu.
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