Results 221 to 230 of about 106,167 (267)
Some of the next articles are maybe not open access.
Canadian Journal of Mathematics, 1993
AbstractLet ℝ denote the real line. Let {Tt}tєℝ be a measure preserving ergodic flow on a non atomic finite measure space (X, ℱ, μ). A nonnegative function φ on ℝ is called a weight function if ∫ℝ φ(t)dt = 1. Consider the weighted ergodic averagesof a function f X —> ℝ, where {θk} is a sequence of weight functions. Some sufficient and some necessary
Akcoglu, M. A., Déniel, Y.
openaire +1 more source
AbstractLet ℝ denote the real line. Let {Tt}tєℝ be a measure preserving ergodic flow on a non atomic finite measure space (X, ℱ, μ). A nonnegative function φ on ℝ is called a weight function if ∫ℝ φ(t)dt = 1. Consider the weighted ergodic averagesof a function f X —> ℝ, where {θk} is a sequence of weight functions. Some sufficient and some necessary
Akcoglu, M. A., Déniel, Y.
openaire +1 more source
Ordered fuzzy weighted averages and ordered linguistic weighted averages
International Conference on Fuzzy Systems, 2010The ordered weighted average (OWA) operator has been widely used in decision-making. In many situations, however, providing crisp numbers for either the sub-criteria or the weights is problematic (there could be uncertainties about them), and it is more meaningful to provide intervals, type-1 fuzzy sets (T1 FSs), interval type-2 fuzzy sets (IT2 FSs ...
Dongrui Wu, Jerry M. Mendel
openaire +1 more source
THE COST OF CAPITAL AS A WEIGHTED AVERAGE
The Journal of Finance, 1975IN RESEARCH, teaching, and application we have found it convenient for some time now to compute the cost of capital as a weighted average of the costs of the various sources of capital. This entire notion, though, that the true cost of capital can be computed as a weighted average of the component costs has recently been questioned.
Nantell, Timothy J, Carlson, C Robert
openaire +1 more source
The Weighted Average Constraint
2012Weighted average expressions frequently appear in the context of allocation problems with balancing based constraints. In combinatorial optimization they are typically avoided by exploiting problems specificities or by operating on the search process.
BONFIETTI, ALESSIO, LOMBARDI, MICHELE
openaire +3 more sources
The projection median as a weighted average
J. Comput. Geom., 2017The projection median of a set $P$ of $n$ points in $\mathbb{R}^d$ is a robust geometric generalization of the notion of univariate median to higher dimensions. In its original definition, the projection median is expressed as a normalized integral of the medians of the projections of $P$ onto all lines through the origin. We introduce a new definition
Stephane Durocher +2 more
openaire +1 more source
The weighted average reference montage
Electroencephalography and Clinical Neurophysiology, 1991In this article we describe the implementation of a linearly weighted average reference montage. This montage differs from the commonly used source derivation montage in that the reference includes all the scalp electrodes of the 10-20 system; and it differs from all other montages implemented thus far in that the weighting of the reference electrodes ...
M S, Lemos, B J, Fisch
openaire +2 more sources
Nonlinear Weighted Average and Blossoming
Communications in Mathematics and Statistics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rongin Uwitije +3 more
openaire +2 more sources
Discount Weighted Moving Averages
Journal of the Operational Research Society, 1984Summary: An estimator to replace exponentially weighted moving averages is described and examples of its use are given. It has similar limiting properties but includes the on-line estimation of the forecast error variance as an integral part. The procedures for starting off and intervention are given.
Johnston, F. R., Harrison, P. J.
openaire +2 more sources
Possibilities and limitations of weighted averaging
Biological Cybernetics, 1985A statistical analysis of a weighted averaging procedure for the estimation of small signals buried in noise (Hoke et al. 1984a) is given. The weighting factor used by this method is in inverse proportion to the variance estimated for the noise. It is shown that, compared to conventional averaging, weighted averaging can improve the signal-to-noise ...
B, Lütkenhöner, M, Hoke, C, Pantev
openaire +2 more sources
Constraints in Weighted Averaging
2009Weighted averaging of classifier outputs is used in many MCSs, yet is still not well understood. Several empirical studies have investigated the effect that non-negativity and sum-one constraints have on the error rate of weighted averaging rules, but there is little theory available to understand the results.
openaire +1 more source