Intersatellite Temperature Bias: Elimination through Statistical Calibration
نویسندگان
چکیده
منابع مشابه
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متن کاملAppendix : Machine Learning Bias Versus Statistical Bias
is if and 0 if. This high variance may help to explain why there is selection pressure for weak (machine learning) bias when the (machine learning) bias correctness is low. The reason that statisticians are interested in (statistical) bias and variance is that squared error is equal to the sum of squared (statistical) bias and variance. Therefore minimal (statistical) bias and minimal variance ...
متن کاملAppendix : Machine Learning Bias Versus Statistical Bias
is if and 0 if. This high variance may help to explain why there is selection pressure for weak (machine learning) bias when the (machine learning) bias correctness is low. The reason that statisticians are interested in (statistical) bias and variance is that squared error is equal to the sum of squared (statistical) bias and variance. Therefore minimal (statistical) bias and minimal variance ...
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ژورنال
عنوان ژورنال: Journal of Atmospheric and Oceanic Technology
سال: 2008
ISSN: 1520-0426,0739-0572
DOI: 10.1175/2007jtecha1071.1