نتایج جستجو برای: linear density
تعداد نتایج: 868158 فیلتر نتایج به سال:
The minimum density power divergence method provides a robust estimate in the face of a situation where the dataset includes a number of outlier data. In this study, we introduce and use a robust minimum density power divergence estimator to estimate the parameters of the linear regression model and then with some numerical examples of linear regression model, we show the robustness of this est...
although extensive experimental work has been carried out during the last several years, experimental reaction rate constants are available only for hundreds of compounds. therefore, it is useful to develop a theoretical prediction method, which can be used to obtain estimates of the necessary kinetic parameters. one of the most successful approaches to predict chemical properties starting only...
for an unknown vector of parameters β0 and an unknown univariate function τ(·). This model is implied by many important limited dependent variable and regression models, as discussed in Ruud (1986) and Stoker (1986). Consistent estimators for β0, up to an unknown scale factor, have been developed by Ruud (1986), Stoker (1986), Powell, Stock, and Stoker (1989), Ichimura (1993), and others. In th...
We consider the problem of choosing a density estimate from a set of densities F , minimizing the L1-distance to an unknown distribution. Devroye and Lugosi [DL01] analyze two algorithms for the problem: Scheffé tournament winner and minimum distance estimate. The Scheffé tournament estimate requires fewer computations than the minimum distance estimate, but has strictly weaker guarantees than ...
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