In this article,we consider the statistical inferences of the unknown parameters of a generalized inverted exponential distribution based on the Type II progressively hybrid censored sample.By applying the expectation...In this article,we consider the statistical inferences of the unknown parameters of a generalized inverted exponential distribution based on the Type II progressively hybrid censored sample.By applying the expectation–maximization(EM)algorithm,the maximum likelihood estimators are developed for estimating the unknown parameters.The observed Fisher information matrix is obtained using the missing information principle,and it can be used for constructing asymptotic con-fidence intervals.By applying the bootstrapping technique,the confidence intervals for the parameters are also derived.Bayesian estimates of the unknown parameters are obtained using the Lindley’s approximation.Monte Carlo simulations are imple-mented and observations are given.Finally,a real data set representing the spread factor of micro-drops is analyzed to illustrative purposes.展开更多
In this paper, a novel micro drop solvent extraction technique jonied with low temperature ETV-ICP-AES for ultra trace element analysis is reported. The apparatus of micro drop solvent extraction was designed, and pre...In this paper, a novel micro drop solvent extraction technique jonied with low temperature ETV-ICP-AES for ultra trace element analysis is reported. The apparatus of micro drop solvent extraction was designed, and preliminary investigation was made for the extraction of ultra trace La by a micro drop of 0.05 mol/L PMBP-benzene(2 μL). It was found that 500-fold concentration of ultra-trace La in 1 mL solution was achieved in 0.2 mL of glass chamber by a single micro drop of PMBP-benzene suspended on the tip of a 10 μL of microsyringe. The future development of micro drop solvent extraction technique in atomic spectrometry was briefly discussed.展开更多
文摘In this article,we consider the statistical inferences of the unknown parameters of a generalized inverted exponential distribution based on the Type II progressively hybrid censored sample.By applying the expectation–maximization(EM)algorithm,the maximum likelihood estimators are developed for estimating the unknown parameters.The observed Fisher information matrix is obtained using the missing information principle,and it can be used for constructing asymptotic con-fidence intervals.By applying the bootstrapping technique,the confidence intervals for the parameters are also derived.Bayesian estimates of the unknown parameters are obtained using the Lindley’s approximation.Monte Carlo simulations are imple-mented and observations are given.Finally,a real data set representing the spread factor of micro-drops is analyzed to illustrative purposes.
文摘In this paper, a novel micro drop solvent extraction technique jonied with low temperature ETV-ICP-AES for ultra trace element analysis is reported. The apparatus of micro drop solvent extraction was designed, and preliminary investigation was made for the extraction of ultra trace La by a micro drop of 0.05 mol/L PMBP-benzene(2 μL). It was found that 500-fold concentration of ultra-trace La in 1 mL solution was achieved in 0.2 mL of glass chamber by a single micro drop of PMBP-benzene suspended on the tip of a 10 μL of microsyringe. The future development of micro drop solvent extraction technique in atomic spectrometry was briefly discussed.
