%0 Journal Article %1 noauthororeditor %A Ahmad1, S.P %A and Kawsar Fatima2, %D 2019 %J EXPONENTIATED TRANSMUTED RAYLEIGH DISTRIBUTION: PROPERTIES AND APPLICATIONS %K Distribution Exponentiated Rayleigh distribution distributionTransmuted %N No.1 %P 15 %T EXPONENTIATED TRANSMUTED RAYLEIGH DISTRIBUTION: PROPERTIES ANDAPPLICATIONS %U file:///C:/Users/NnN-M03/Desktop/Slideshare/3119ijmsa01%20(1).pdf %V Vol.3 %X In this present article, we have proposed a new probability distribution known as Exponentiated transmuted Rayleigh distribution and studied some statistical properties of the proposed model. Further, for application point of view, we have derived it from Rayleigh distribution as a baseline distribution and proved its application in comparison to the its sub-models in terms of fitting a real data as well as simulated data through Akaike's Information Criteria (AIC) and Bayesian Information Criteria ( BIC) and log likelihood (LL) criterion of goodness of fit.

@article{noauthororeditor, abstract = {In this present article, we have proposed a new probability distribution known as Exponentiated transmuted Rayleigh distribution and studied some statistical properties of the proposed model. Further, for application point of view, we have derived it from Rayleigh distribution as a baseline distribution and proved its application in comparison to the its sub-models in terms of fitting a real data as well as simulated data through Akaike's Information Criteria (AIC) and Bayesian Information Criteria ( BIC) and log likelihood (LL) criterion of goodness of fit. }, added-at = {2019-07-05T12:53:28.000+0200}, author = {Ahmad1, S.P and and Kawsar Fatima2}, biburl = {https://www.bibsonomy.org/bibtex/2b08f3c0793bba6cd0c63b1bfe07e9384/sarin}, description = {In this present article, we have proposed a new probability distribution known as Exponentiated transmuted Rayleigh distribution and studied some statistical properties of the proposed model. Further, for application point of view, we have derived it from Rayleigh distribution as a baseline distribution and proved its application in comparison to the its sub-models in terms of fitting a real data as well as simulated data through Akaike's Information Criteria (AIC) and Bayesian Information Criteria ( BIC) and log likelihood (LL) criterion of goodness of fit. }, interhash = {32be88a8acc067a5edd94522a9e26d43}, intrahash = {b08f3c0793bba6cd0c63b1bfe07e9384}, journal = {EXPONENTIATED TRANSMUTED RAYLEIGH DISTRIBUTION: PROPERTIES AND APPLICATIONS }, keywords = {Distribution Exponentiated Rayleigh distribution distributionTransmuted}, language = {English}, month = {June 2019}, number = { No.1 }, pages = 15, timestamp = {2019-07-05T12:53:28.000+0200}, title = {EXPONENTIATED TRANSMUTED RAYLEIGH DISTRIBUTION: PROPERTIES ANDAPPLICATIONS}, url = {file:///C:/Users/NnN-M03/Desktop/Slideshare/3119ijmsa01%20(1).pdf}, volume = {Vol.3}, year = 2019 }