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Thus far, likelihood-based interval estimates for quantiles have not been studied in the literature on interval censored case 2 data and partly interval censored data, and, in this context, the use of...
In this paper, Bayesian estimation for the Pareto distribution, this thesis aims to investigate the possibility of using the quasi-likelihood function in the Bayesian approach. We introduce a new meth...
In this paper, generalized quasi-likelihood estimation for a Poisson Process model with a dependent structure is developed incorporating knowledge of skewness and kurtosis. This is a generalization of...
We show what properties of the time series we can find by examining the behavior of the conditional quasi-likelihood function, even when the time series does not necessarily satisfy the model and is n...

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