Estimating the Scale Parameter of an Exponential Distribution from a Sample of Time-Censored r-th Order Statistics,

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Abstract:

The problem of estimating the mean, theta, of an exponential distribution is studied, when the data available are a random sample of time-censored r-th order statistics. Examples for such empirical situations are cited in the paper. Maximum Likelihood MLE and Moment Equation MEE estimators are studied. Theoretical derivations are provided for the large sample variances and distributions of these estimators. The efficiency of the MEE compared to the MLE is studied. Author

Author(s):
Zacks, S.
Author Organization(s):
GEORGE WASHINGTON UNIV WASHINGTON DC INST FOR MANAGEMENT SCIENCE AND ENGINEERING
Pagination:
0033

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
GWU/IMSE/SERIAL-T-495/84
Contract/Grant Number(s):
N00014-83-K-0216
 Subject Terms
Joint Capability Areas:
JCA_1_Force Support; JCA_4.6_Engineering; JCA_5_Command and Control; JCA_1.2.7_Experimentation; JCA_1.2_Force Preparation; JCA_5.3_Planning; JCA_1.2.3_Educating; JCA_3.2_Engagement; JCA_3_Force Application
Modernization Areas:
Directed Energy
Communities of Interest:
Ground and Sea Platforms
Descriptor(s):
*PARAMETERS, *ESTIMATES, *SCALE, *EXPONENTIAL FUNCTIONS, *DISTRIBUTION FUNCTIONS, MAXIMUM LIKELIHOOD ESTIMATION, RANDOM VARIABLES, EFFICIENCY, RELIABILITY, MEAN, ORDER STATISTICS, EQUATIONS, ASYMPTOTIC NORMALITY, BIOASSAY
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
Moment equation estimators, WUNR347131
Report Date:
1984 Oct 09