Fractals · 2017 · 10 citations · 30 references
Natural SciencesComputer ScienceMathematicsProbability TheoryStatisticsStochastic ProcessesComputational StatisticsFractal GeometryFractal InterpolationInterpolation FunctionsInterpolation TheoryLinear Interpolation
Let [Formula: see text] be an integer greater than or equal to [Formula: see text] and let [Formula: see text] be numbers with [Formula: see text]. Denote that [Formula: see text] is the interval [Formula: see text] and [Formula: see text] is a set of points. Suppose that [Formula: see text] is a random perturbation of [Formula: see text] for [Formula: see text], and we set [Formula: see text]. Let [Formula: see text] and [Formula: see text] be linear fractal interpolation functions on [Formula: see text] corresponding to the set of points [Formula: see text] and [Formula: see text], respectively. The value [Formula: see text] is random for all [Formula: see text]. In this paper, we show that the expectation of [Formula: see text] is [Formula: see text]. We also establish estimations for the variance of [Formula: see text] and the expectation of [Formula: see text].
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Fractal functions and interpolation
Michael F. Barnsley · Constructive Approximation · 1986 · 908 citations
The Folded Normal Distribution
Fred C. Leone, L.S. Nelson, R. B. Nottingham · Technometrics · 1961 · 416 citations
Hidden Variable Fractal Interpolation Functions
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