Parametric inference for proportional (reverse) hazard rate models with nomination sampling

@inproceedings{Nourmohammadi2015ParametricIF,
  title={Parametric inference for proportional (reverse) hazard rate models with nomination sampling},
  author={Mohammad Nourmohammadi and Mohammad Jafari Jozani and Brad Johnson},
  year={2015}
}
\noindent Randomized nomination sampling (RNS) is a rank-based sampling technique which has been shown to be effective in several nonparametric studies involving environmental and ecological applications. In this paper, we investigate parametric inference using RNS design for estimating the unknown vector of parameters $\boldsymbol{\theta}$ in the proportional hazard rate and proportional reverse hazard rate models. We examine both maximum likelihood (ML) and method of moments (MM) methods and… CONTINUE READING

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