Title :
Approximate ML-estimates of random processes
Author_Institution :
Inst. of Inf. Theory & Autom., Acad. of Sci., Prague, Czech Republic
fDate :
27 Jun-1 Jul 1994
Abstract :
Computationally feasible versions of maximum likelihood estimations (MLEs), called approximate MLEs (AMLEs), are introduced. Estimation models with all, some, or no AMLEs consistent are presented
Keywords :
maximum likelihood estimation; random processes; signal detection; approximate MLE; approximate maximum likelihood estimation; computationally feasible versions; estimation models; maximum likelihood estimation; random processes; Additive noise; Automation; Chromium; Entropy; Information theory; Light rail systems; Maximum likelihood estimation; Random processes; Statistics; Yttrium;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.395051
