Targeted maximum likelihood estimation is a versatile tool for estimating parameters in semiparametric and nonparametric models. We work through an example applying targeted maximum likelihood methodology to estimate the parameter of a marginal structural model. In the case we consider, we show how this can be easily done by clever use of standard statistical software. We point out differences ...

Abstract. Maximum likelihood (ML) estimation based on bivariate record data is considered as the general inference problem. Assume that the process of observing k records is repeated m times, independently. The asymptotic properties including consistency and asymptotic normality of the Maximum Likelihood (ML) estimates of parameters of the underlying distribution is then established, when m is ...

application of satellite imagery and remote sensing techniques in agriculture and other natural resources has been approved by many studies. in this study two etm+ imagery data for may and september 2012 of astan ghods razavi great farm were acquired to identify the boundaries of lands cultivated with different crops coverage and to create crops maps of that farm. . to classify the images, the ...

In a neutron lifetime experiment conducted at the National Institute of Standards and Technology, protons produced by neutron decay events are confined in a proton trap. In each run of the experiment, there is a trapping stage of duration τ . After the trapping stage, protons are purged from the trap. A proton detector provides incomplete information because it goes dead after detecting the fir...