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Bivariate censored regression relying on a new estimator of the joint
Bivariate censored regression relying on a new estimator of the joint

... a choice of the decomposition of the bivariate survival probability. Hanley and Parnes (1983) studied a nonparametric maximum likelihood estimation (NPMLE) using Efron's self-consistency algorithm and the EM algorithm. However, this estimator may be inconsistent for continuous data (Tsai et al., 19 ...
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... see whether it is sensible to assume that the sample mean is close to a normal distribution. There are two reasons this assumption appears to be plausible: – The sample size is large, n = 44, thus by the central limit theorem regardless of the original distribution the sample mean for such a large s ...
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... ˆ ,where ME, where ˆ e.g. ...


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German tank problem



In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.
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