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Discrepancy function

Known as: Discrepepancy function 
A discrepancy function is a mathematical function which describes how closely a structural model conforms to observed data. Larger values of the… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1992-2016
0246819922016

Related topics

Related topics

4 relations
Generalized least squaresLow-discrepancy sequenceOrdinary least squaresStructural equation modeling

Related mentions per year

Related mentions per year

1956-2018
1960198020002020
Discrepancy function
Structural equation modeling
Ordinary least squares
Low-discrepancy sequence
Generalized least squares

Papers overview

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2016
2016
Optimal quasi-Monte Carlo rules on order 2 digital nets for the numerical integration of multivariate periodic functions
We investigate quasi-Monte Carlo rules for the numerical integration of multivariate periodic functions from Besov spaces Sp,q B… (More)
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2011
2011
On lower bounds for the L2-discrepancy
The L2-discrepancy measures the irregularity of the distribution of a finite point set. In this note, we prove lower bounds for… (More)
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2010
2010
Construction of Covariance Matrices with a Specified Discrepancy Function Minimizer, with Application to Factor Analysis
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given… (More)
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2009
2009
Exponential Squared Integrability of the Discrepancy Function in Two Dimensions
Let AN be an N-point set in the unit square and consider the Discrepancy function DN(~x) ≔ ♯ ( AN ∩ [~0, ~x) ) −N|[~0, ~x… (More)
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2009
2009
A fully decentralized control of a serpentine robot based on the discrepancy between body, brain and environment
Despite its appealing concept, a systematic way of designing autonomous decentralized control system is still lacking. In order… (More)
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2008
2008
On the Discrepancy Function in Arbitrary Dimension, Close to L
Our subject is irregularities of distribution of points with respect to rectangles in the unit cube. It is a familiar theme of… (More)
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2007
2007
Mean Square Discrepancy Bounds for the Number of Lattice Points in Large Convex Bodies
(1.1) ∆Ω(t) = NΩ(t)− tvol(Ω) tdvol(Ω) the relative error, or the discrepancy function. It is conjectured that in dimensions d ≥ 5… (More)
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2006
2006
Range of the Fractional Weak Discrepancy Function
In this paper we describe the range of values that can be taken by the fractional weak discrepancy of a poset and characterize… (More)
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2006
2006
The hunting of the bump: on maximizing statistical discrepancy
Anomaly detection has important applications in biosurveilance and environmental monitoring. When comparing measured data to data… (More)
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2001
2001
Solving the generalized apportionment problem through the optimization of discrepancy functions
One of the ways to solve the classical apportionment problem (which has been studied chiefly in relation to the apportionment of… (More)
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