EDF Statistics for Goodness-of-Fit: Part 1

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Abstract:

The paper deals with EDF statistics, a class of goodness-of-fit statistics. They are based on a comparison of Fx with the empirical distribution function F sub nx. Recent work has now made it possible to use these statistics very easily when Fx is continuous and completely specified and also for two very important practical situations - when the distribution tested is normal, or exponential, with parameters to be estimated. Power studies suggest they should be brought into wider use. The report concentrates on a practical guide to the use of EDF statistics specifically, those usually called D, D-, D, W2, V, U2, A.

Author(s):
Stephens, M. A.
Author Organization(s):
STANFORD UNIV CA DEPT OF STATISTICS
Descriptive Note:
Technical rept.,
Pagination:
0018

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
TR-186
Contract/Grant Number(s):
N00014-67-A-0112-0053
Project Number(s):
NR-042-267
Monitor Series:
ONR
 Subject Terms
Joint Capability Areas:
JCA_1.2_Force Preparation; JCA_1_Force Support
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*STATISTICAL TESTS, SAMPLING, TABLES(DATA), POWER, EXPONENTIAL FUNCTIONS, DISTRIBUTION FUNCTIONS
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
*GOODNESS OF FIT TESTS, NORMAL DENSITY FUNCTIONS, PARAMETER ESTIMATION, EXPONENTIAL DENSITY FUNCTIONS
Report Date:
1972 Jan 03