Anderson-Darling and Cramer-Von Mises Based Goodness-of-Fit Tests for the Weibull Distribution with Known Shape Using Normalized Spacings / Najlacnejšie knihy
Anderson-Darling and Cramer-Von Mises Based Goodness-of-Fit Tests for the Weibull Distribution with Known Shape Using Normalized Spacings

Code: 08217998

Anderson-Darling and Cramer-Von Mises Based Goodness-of-Fit Tests for the Weibull Distribution with Known Shape Using Normalized Spacings

by Eric W Frisco

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 t ... more

57.07

RRP: 58.20 €

You save 1.14 €


In stock at our supplier
Shipping in 15 - 20 days
Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

More about Anderson-Darling and Cramer-Von Mises Based Goodness-of-Fit Tests for the Weibull Distribution with Known Shape Using Normalized Spacings

You get 143 loyalty points

Book synopsis

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.

Book details

Book category Books in English Society & social sciences Education

57.07

Trending among others



Collection points Bratislava a 2642 dalších

Copyright ©2008-24 najlacnejsie-knihy.sk All rights reservedPrivacyCookies


Account: Log in
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Shopping cart ( Empty )

For free shipping
shop for 59,99 € and more

You are here: