Title :
Simultaneous confidence intervals for all ratios to the best: the exponential distribution
Author :
Kumar, Narinder ; Misra, Neeraj ; Gill, Amar Nath
Author_Institution :
Dept. of Stat., Panjab Univ., Chandigarh, India
fDate :
3/1/1994 12:00:00 AM
Abstract :
Consider k independent exponential populations with different scale and location (possibly unknown) parameters. A set of simultaneous upper confidence intervals for all ratios to the largest scale parameter is derived. The data are assumed to be: (1) complete; or (2) incomplete with type-II censoring. The cases of known and unknown location parameters are treated separately
Keywords :
maximum likelihood estimation; reliability theory; statistical analysis; exponential distribution; independent exponential populations; location parameters; reliability; scale parameters; simultaneous upper confidence intervals; type-II censoring; Bismuth; Clinical trials; Exponential distribution; Life testing; Maximum likelihood estimation; Reliability theory; Shape; Statistical analysis; Statistical distributions; Statistics;
Journal_Title :
Reliability, IEEE Transactions on
