Statistical inference with randomized nomination sampling

Statistical inference with randomized nomination sampling

In this dissertation, we develop several new inference procedures that are based on randomized nomination sampling (RNS). The first problem we consider is that of constructing distribution-free confidence intervals for quantiles for finite populations. The required algorithms for computing coverage...

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Bibliographic Details
Main Author: Nourmohammadi, Mohammad
Other Authors: Jafari Jozani, Mohammad (Statistics) Johnson, Brad C. (Statistics)
Published: Elsevier B.V. 2015
Subjects:
Randomized nomination sampling
Confidence interval
Tolerance interval
Finite population
Infinite population
Proportional hazard rate model
Maximum likelihood
Method of moment
Online Access:http://hdl.handle.net/1993/30150

Internet

http://hdl.handle.net/1993/30150

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