Results 241 to 250 of about 19,442,486 (302)

The simulated randomization test

Computer Programs in Biomedicine, 1982
Non-parametric statistical methods have been the subject of renewed interest. They are particularly useful in the behavioral sciences as they can be applied to a large class of distributions, and because the investigator is not forced into making any erroneous assumptions about a Gaussian distribution for the parent population or about equal variances ...
M, Recchia, M, Rocchetti
openaire   +2 more sources

Multiple Controlled Random Testing

Fundamenta Informaticae, 2016
Controlled random tests, methods of their generation, as well as their application to the testing of both hardware and software systems are discussed. Available evidences suggest that high computational complexity is one of the main drawback of these methods. Therefore we propose a technique to overcome this problem.
Mrozek, Ireneusz, Yarmolik, Vyacheslav
openaire   +1 more source

Randomization tests for multiarmed randomized clinical trials

Statistics in Medicine, 2019
We examine the use of randomization‐based inference for analyzing multiarmed randomized clinical trials, including the application of conditional randomization tests to multiple comparisons. The view is taken that the linkage of the statistical test to the experimental design (randomization procedure) should be recognized.
Yanying Wang, William F. Rosenberger, Diane Uschner   +2 more
openaire   +3 more sources

Is adaptive random testing really better than random testing

Proceedings of the 1st international workshop on Random testing, 2006
Adaptive Random Testing (ART) is an enhancement of Random Testing (RT). It is known when ART can outperform RT and when it cannot. Previous studies assumed that the test cases are selected with replacement. It is unknown whether selection without replacement can enhance the effectiveness of ART and also RT.
T. Y. Chen, F.-C. Kuo
openaire   +1 more source

Randomization Tests

Technometrics, 1989
Doris Hertsgaard, Eugene Edgington
  +4 more sources

Random breath‐testing

Medical Journal of Australia, 1985
A A, Landauer, J R, Johnstone
openaire   +2 more sources

Randomness for Randomness Testing

2022
Daniel Berend, Shlomi Dolev, Manish Kumar   +2 more
openaire   +1 more source

Randomization Tests.

Journal of the Royal Statistical Society. Series A (General), 1981
D. E. Walters, E. S. Edgington
openaire   +2 more sources

Testing for randomness against autocorrelation: Alternative tests

Biometrika, 1977
The asymptotic efficiencies of the rank serial correlation and turning-points tests with respect to the serial correlation test are evaluated for first-order autocorrelation. Tests based on the periodogram of the data are suggested. A Monte Carlo study is conducted to evaluate the relative performance of likelihood derivative, distribution-free, and ...
openaire   +1 more source

Adaptive Random Testing

2004
In this paper, we introduce an enhanced form of random testing called Adaptive Random Testing. Adaptive random testing seeks to distribute test cases more evenly within the input space. It is based on the intuition that for non-point types of failure patterns, an even spread of test cases is more likely to detect failures using fewer test cases than ...
T. Y. Chen, H. Leung, I. K. Mak
openaire   +1 more source