Best Linear Estimates under Symmetric Censoring of the Parameters of a Double Exponential Population
作者:
Zakkula Govindarajulu,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1966)
卷期:
Volume 61,
issue 313
页码: 248-258
ISSN:0162-1459
年代: 1966
DOI:10.1080/01621459.1966.10502024
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Closed-form expressions for the first two moments and the product (linear) moments of the double exponential order statistics are obtained. Expressions for generalized least squares estimates of location and scale parameters based on symmetrically censored samples and for their variances are also obtained. Expected values of order statistics in random samples of sizeNdrawn from the standard double exponential population are evaluated accurate to six decimal places forN= 2(1)20 and these are presented in Table 1. The covariances of these order statistics, accurate to five decimal places are given in Table 2 forN= 2(1)20. Least squares estimates of location and scale parameters of the double exponential population, using ordered observations in complete and all possible symmetrically censored samples are presented in Table 3, accurate to four decimal places, forN= 2(1)20.
点击下载:
PDF (663KB)
返 回