Arbitrary Precision Mathematica Functions to Evaluate the One-Sided One Sample K-S Cumulative Sampling Distribution
Efficient rational arithmetic methods that can exactly evaluate the cumulative sampling distribution of the one-sided one sample Kolmogorov-Smirnov (K-S) test have been developed by Brown and Harvey (2007) for sample sizes n up to fifty thousand. This paper implements in arbitrary precision the same...
Main Authors: | J. Randall Brown, Milton E. Harvey |
---|---|
Format: | Article |
Language: | English |
Published: |
Foundation for Open Access Statistics
2008-04-01
|
Series: | Journal of Statistical Software |
Subjects: | |
Online Access: | http://www.jstatsoft.org/v26/i03/paper |
Similar Items
-
Sampled-Data Stabilization of Fractional Linear System under Arbitrary Sampling Periods
by: Kecai Cao, et al.
Published: (2022-07-01) -
Application research of improved K-means leave one out method in rejecting of abnormal samples of coal near infrared spectrum
by: WANG Mi
Published: (2016-10-01) -
A Consistency Evaluation Method of Pavement Performance Based on K-Means Clustering and Cumulative Distribution
by: Wenya Ye, et al.
Published: (2022-12-01) -
Impact of Reducing Statistically Small Population Sampling on Threshold Detection in FBG Optical Sensing
by: Gabriel Cibira, et al.
Published: (2024-04-01) -
MultiKOC: Multi-One-Class Classifier Based K-Means Clustering
by: Loai Abdallah, et al.
Published: (2021-04-01)