Title :
Statistical comparison of algorithms
Author :
Kedem, Benjamin ; Wolff, David B. ; Fokianos, Konstantinos
Author_Institution :
Dept. of Math., Univ. of Maryland, College Park, MD, USA
fDate :
6/1/2004 12:00:00 AM
Abstract :
A "reference" algorithm or instrument and its various "distortions" are considered, where the distortions carry some valid information about the reference. The objective is to combine data from the reference and the distortions together in some manner in order to extract information from both the reference, as well as the distortions, and produce improved inference about the true reference algorithm. This is illustrated in terms of m precipitation radars and semiparametric estimation of the reference distribution and the distortion parameters.
Keywords :
distortion; parameter estimation; radar signal processing; radar theory; C-band radar; S-band radar; distortion parameters; empirical likelihood; exponential tilt; information extraction; precipitation radars; reference algorithm; reference distribution; reference instrument; semiparametric estimation; statistical algorithm comparison; tropical rainfall measuring mission; Calibration; Data mining; Distortion measurement; Inference algorithms; Instruments; Mathematics; NASA; Radar measurements; Spaceborne radar; Testing; C-band radar; S-band radar; empirical likelihood; exponential tilt; reference distribution; tropical rainfall measuring mission;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2004.827301
