Abstract | ||
---|---|---|
Our new method uses order statistics to judge the fit of a distribution to data. A test-statistic based on quantiles of order-statistics compares favorably with the Kolmogorov-Smirnov (K-S) and Anderson-Darling (A-D) test statistics. The performance of this new goodness-of-fit test statistic is examined with simulation experiments. For certain hypothesis tests, the test statistic is more powerful ... |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/24.963129 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Statistical analysis,Statistical distributions,Maximum likelihood estimation,Parametric statistics,Distributed computing,Algebra,Life testing,Parameter estimation,Computational modeling,System testing | Test statistic,PRESS statistic,F-test,Brown–Forsythe test,Order statistic,Pseudomedian,Statistics,Mathematics,Ancillary statistic,Pearson's chi-squared test | Journal |
Volume | Issue | ISSN |
50 | 2 | 0018-9529 |
Citations | PageRank | References |
13 | 1.81 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
A. G. Glen | 1 | 13 | 1.81 |
L. M. Leemis | 2 | 25 | 3.42 |
D. R. Barr | 3 | 24 | 8.40 |