The problem of testing of fit for the two-parameter Weibull distribution family is investigated. Three types of tests are considered:. Neyman asymptotic optimal C(a ) tests against generalized gamma alternatives, Neyman-Barton smooth tests of ,,fit, and the classical x2 tests. Monte Carlo methods are used for comparing small sample, n.20 and 50, significance levels with those given, by asymptotic theory and for power comparisons of the tests for several alternative distributions.
Bargal, A., & Habib, M. (1986). Some Tests of Fite for the Two-Parameter Weibull Distribution. The Egyptian Statistical Journal, 30(2), 11-24. doi: 10.21608/esju.1986.428606
MLA
Adel I. Bargal; Mohamed G. Habib. "Some Tests of Fite for the Two-Parameter Weibull Distribution", The Egyptian Statistical Journal, 30, 2, 1986, 11-24. doi: 10.21608/esju.1986.428606
HARVARD
Bargal, A., Habib, M. (1986). 'Some Tests of Fite for the Two-Parameter Weibull Distribution', The Egyptian Statistical Journal, 30(2), pp. 11-24. doi: 10.21608/esju.1986.428606
VANCOUVER
Bargal, A., Habib, M. Some Tests of Fite for the Two-Parameter Weibull Distribution. The Egyptian Statistical Journal, 1986; 30(2): 11-24. doi: 10.21608/esju.1986.428606
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