Title of article :
Sharp filters for short sequences
Author/Authors :
Pollock، D. S. G. نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
This paper describes a technique for constructing frequency-selective linear filters that can be applied to short nonstationary sequences. Such filters are well adapted to the task of extracting the trend from a climatological or an econometric times series whenever it is capable of being described in terms of a well-defined range of frequencies with a firm upper limit.
Keywords :
Linear regression , Robust estimates , Contamination sensitivity , High breakdown point , High efficiency , Maximum bias function
Journal title :
Journal of Statistical Planning and Inference
Journal title :
Journal of Statistical Planning and Inference