SVQR with asymmetric quadratic loss function
نویسندگان
چکیده
منابع مشابه
Estimation with Quadratic Loss
It has long been customary to measure the adequacy of an estimator by the smallness of its mean squared error. The least squares estimators were studied by Gauss and by other authors later in the nineteenth century. A proof that the best unbiased estimator of a linear function of the means of a set of observed random variables is the least squares estimator was given by Markov [12], a modified ...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2015
ISSN: 1598-9402
DOI: 10.7465/jkdi.2015.26.6.1537