On Interpenetrating Samples of Unequal Sizes.
A Comparison Between PPSWR and Chaudhuri's IPPS Procedures.
Jack-Knifing the Ratio and the Product Estimators in Double Sampling.
Unbiased estimation of reliability for two-parameter exponential distribution under time censored sampling
The problem considered is that of unbiased estimation of reliability for a two-parameter exponential distribution under time censored sampling. We give necessary and sufficient conditions for the existence of uniformly minimum variance unbiased estimator and also provide a characterization of a complete class of unbiased estimators in situations where unbiased estimators exist.
Estimation of the size of a closed population
The problem considered is that of estimation of the size (N) of a closed population under three sampling schemes admitting unbiased estimation of N. It is proved that for each of these schemes, the uniformly minimum variance unbiased estimator (UMVUE) of N is inadmissible under square error loss function. For the first scheme, the UMVUE is also the maximum likelihood estimator (MLE) of N. For the second scheme and a special case of the third, it is shown respectively that an MLE and an estimator...
Unbiased estimation for two-parameter exponential distribution under time censored sampling
The problem considered is that of unbiased estimation for a two-parameter exponential distribution under time censored sampling. We obtain a necessary form of an unbiasedly estimable parametric function and prove that there does not exist any unbiased estimator of the parameters and the mean of the distribution. For reliability estimation at a specified time point, we give a necessary and sufficient condition for the existence of an unbiased estimator and suggest an unbiased estimator based on a...
Quantitative model for efficient temporal targeting of tumor cells and neovasculature.
Admissible Unbiased Variance Estimation in Finite Population Sampling Under Randomized Response.
Some Order Relations Between Selection and Inclusion Probabilities for PPSWOR Sampling Scheme.
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