Andere Kunden interessierten sich auch für
![A New Sequential Goodness of Fit Test for the Three-Parameter Gamma Distribution with Known Shape Based on Skewness and Kurtosis]( "A New Sequential Goodness of Fit Test for the Three-Parameter Gamma Distribution with Known Shape Based on Skewness and Kurtosis")
A New Sequential Goodness of Fit Test for the Three-Parameter Gamma Distribution with Known Shape Based on Skewness and Kurtosis62,99 €![Estimation and Goodness-of-Fit in the Case of Randomly Censored Lifetime Data]( "Estimation and Goodness-of-Fit in the Case of Randomly Censored Lifetime Data")
Estimation and Goodness-of-Fit in the Case of Randomly Censored Lifetime Data60,99 €![Aerodynamic Shape Optimization Using Control Theory]( "Aerodynamic Shape Optimization Using Control Theory")
Aerodynamic Shape Optimization Using Control Theory62,99 €![Weblogs: The Power to Shape Public Opinion]( "Weblogs: The Power to Shape Public Opinion")
Weblogs: The Power to Shape Public Opinion61,99 €![Relating Initial Budget to Program Growth with Rayleigh and Weibull Models]( "Relating Initial Budget to Program Growth with Rayleigh and Weibull Models")
Relating Initial Budget to Program Growth with Rayleigh and Weibull Models61,99 €![Shape of the Australian Army in the Near Future Given the Australian Defence Force White Paper 2000]( "Shape of the Australian Army in the Near Future Given the Australian Defence Force White Paper 2000")
Shape of the Australian Army in the Near Future Given the Australian Defence Force White Paper 200063,99 €![How Should the United States Shape Training for Those Countries That Are in the Support of the African Crisis Response Initiative]( "How Should the United States Shape Training for Those Countries That Are in the Support of the African Crisis Response Initiative")
How Should the United States Shape Training for Those Countries That Are in the Support of the African Crisis Response Initiative60,99 €
Two new goodness-of-_t tests are developed for the three-parameter Weibull distribution with known shape parameter. These procedures eliminate the need for estimating the unknown location and scale parameters prior to initiating the tests and are easily adapted for censored data. This is accomplished by employing the Anderson-Darling A2 s and Cram_er-von Mises W2 S statistics based on the normalized spacings of the sample data. Critical values of A2 s and W2 s are obtained for common signi_cance levels by large Monte Carlo simulations for shapes of 0.5(0.5)4.0 and sample sizes of 5(5)40 with up to 40% censoring (type II) from the left and/or right. An extensive Monte Carlo power study is also conducted to compare the two tests with each other and with their prominent competitors. The competitors include another spacings test, Z_, and the modi_ed Kolmogorov-Smirnov (KS), Cram_er- von Mises (W2) and Anderson-Darling (A2) EDF tests. The power results indicate that no one test is superior in all situations. When the alternatives considered are tested against a skewed Weibull null distribution, A2 s and W2 s achieve considerably higher power than the other EDF tests, but do not perform as well as Z_. On the other hand, when the null distribution is symmetric, Z_ loses all of its power, while A2 s and W2 s yield power comparable to the other EDF tests. Results also show A2 s generally outperforms W2 s , and for these reasons, A2 s is the preferred test for the three-parameter Weibull with known shape.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.