جلد 18، شماره 2 - ( 9-1398 )                   جلد 18 شماره 2 صفحات 1-20 | برگشت به فهرست نسخه ها


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Darijani S, Zakerzade H, Torabi H. Goodness–of–Fit Tests for Birnbaum–Saunders Distributions . JIRSS. 2019; 18 (2) :1-20
URL: http://jirss.irstat.ir/article-1-505-fa.html
Goodness–of–Fit Tests for Birnbaum–Saunders Distributions . پژوهشنامه انجمن آمار ایران. 1398; 18 (2) :1-20

URL: http://jirss.irstat.ir/article-1-505-fa.html


چکیده:   (555 مشاهده)
  Goodness-of-fit tests are constructed for the two-parameter Birnbaum-Saunders distribution in the case where the parameters are unknown and therefore are estimated from the data. In each test, the procedure starts by computing efficient estimators of the parameters. Then the data are transformed by a normal transformation and normality tests are applied on the transformed data, thereby avoiding reliance on parametric asymptotic critical values or the need for bootstrap computations. Three classes of tests are considered, the first class being the classical tests based on the empirical distribution function, while the other class utilizes the empirical characteristic function and the final class utilizes the Kullback-Leibler information function. All methods are extended to cover the case of generalized three-parameter Birnbaum-Saunders distributions.
     
نوع مطالعه: Original Paper | موضوع مقاله: 62Gxx: Nonparametric inference
دریافت: ۱۳۹۶/۱۲/۱۸ | پذیرش: ۱۳۹۷/۱۰/۵ | انتشار: ۱۳۹۸/۸/۴

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