نتایج جستجو برای: trimmed mean

تعداد نتایج: 588849  

2010
N. V. Gribkova R. Helmers

A survey of some new results on empirical Edgeworth expansions and the M out of N bootstrap accuracy for trimmed means and studentized trimmed means will be presented. We discuss the second order correctness of the M out of N (N being the real data sample size, M denotes the size of the bootstrap resample) bootstrap, provided the trimmed mean is properly defined and a local smoothness condition...

2013
Xingdong Feng Yang Feng Yuguo Chen Dylan S. Small XINGDONG FENG YANG FENG YUGUO CHEN

Randomization is described by Fisher (1935) as the reasoned basis for inference about the effectiveness of treatments. Fisher advocated both using randomization in designing experiments and using “randomization inference” to analyze experiments that have been randomized. Randomization inference is inference that assumes only the physical act of randomization for its validity. It provides exact,...

2004
Alexander Tsyplakov

All opinions expressed here are those of the author and not those of the Economics Education and Research Consortium Research dissemination by the EERC may include views on policy, but the EERC itself takes no institutional policy positions The paper studies a possibility to construct a price index (" core inflation " index) for Russia, which is more appropriate for assessing monetary policy th...

Journal: :Pattern Recognition Letters 1998
Antonios Gasteratos Ioannis Andreadis Philippos Tsalides

A new approach for implementing filters based on order statistics is proposed in this letter. As an illustration realisations of range, a-trimmed mean and WMMR filters are presented. q 1998 Elsevier Science B.V. All rights reserved.

2003
Alex D. Gottlieb

The jackknife variance estimator and the the infinitesimal jackknife variance estimator are shown to be asymptotically equivalent if the functional of interest is a smooth function of the mean or a trimmed L-statistic with Hölder continuous weight function.

2003
S. Poornachandra N. Kumaravel K. P. Karthikeyan

This paper proposes a model for eliminating noise from ECG using α-trimmed thresholding. In this paper, the α-trimmed thresholding tested in the wavelet based Adaptive Filter Model. The Wavelet co-efficients at every sub-band level is made adapted by LMS algorithm to minimum mean square value and thresholded the adapted coefficients. It is shown that the proposed thresholding method offers vari...

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