{"title":"[0, 1] truncated fréchet-gamma and inverted gam-ma distributions","authors":"S. Abid, R. Abdulrazak","doi":"10.14419/ijsw.v5i2.8363","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a new family of continuous distributions based on [0, 1]] truncated Frechet distribution. [0, 1]] Truncated Frechet Gamma ([0, 1]] TFG) and truncated Frechet inverted Gamma ([0, 1]] TFIG) distributions are discussed as special cases. The cumulative distribution function, the rth moment, the mean, the variance, the skewness, the kurtosis, the mode, the median, the characteristic function, the reliability function and the hazard rate function are obtained for the distributions under consideration. It is well known that an item fails when a stress to which it is subjected exceeds the corresponding strength. In this sense, strength can be viewed as \"resistance to failure.\" Good design practice is such that the strength is always greater than the expected stress. The safety factor can be defined in terms of strength and stress as strength/stress. So, the [0, 1]] TFG strength-stress and the [0, 1]] TFIG strength-stress models with different parameters will be derived here. The Shannon entropy and Relative entropy will be derived also.","PeriodicalId":119953,"journal":{"name":"International Journal of Advances in Scientific Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advances in Scientific Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14419/ijsw.v5i2.8363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper, we introduce a new family of continuous distributions based on [0, 1]] truncated Frechet distribution. [0, 1]] Truncated Frechet Gamma ([0, 1]] TFG) and truncated Frechet inverted Gamma ([0, 1]] TFIG) distributions are discussed as special cases. The cumulative distribution function, the rth moment, the mean, the variance, the skewness, the kurtosis, the mode, the median, the characteristic function, the reliability function and the hazard rate function are obtained for the distributions under consideration. It is well known that an item fails when a stress to which it is subjected exceeds the corresponding strength. In this sense, strength can be viewed as "resistance to failure." Good design practice is such that the strength is always greater than the expected stress. The safety factor can be defined in terms of strength and stress as strength/stress. So, the [0, 1]] TFG strength-stress and the [0, 1]] TFIG strength-stress models with different parameters will be derived here. The Shannon entropy and Relative entropy will be derived also.