The model stored in Example 14.3 is read in using the MODEL= option and the moving average terms are added using the %MA macro. The MA(1) model using maximum ...
A bias-correction factor for the maximum likelihood estimator of the log common odds ratio for sparse data is derived, which is applicable when the design is balanced and/or when the number of strata ...
This is a preview. Log in through your library . Abstract In this paper we investigate a broader semiparametric two-sample density ratio model based on two groups of right-censored data. A ...
The following data are taken from Lawless (1982, p.193) and represent the number of days it took rats painted with a carcinogen to develop carcinoma. The last 2 observations are censored data from a ...
This project reads spectral files provided by astronomical telescopes like LAMOST or Gaia, performs Bayesian estimation of key stellar physical parameters (effective ...
Abstract: The optimal receiver operating characteristic (ROC) curve, giving the maximum probability of detection as a function of the probability of false alarm, is a key information-theoretic ...
Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
Abstract: DOA estimation is an important research area in array signal processing. Maximum likelihood estimator (MLE) has been shown to perform best among all the methods. However, the MLE requires a ...
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