SIAM Journal on Scientific and Statistical Computing · 1989 · 31 citations · 7 references
Natural SciencesComputer ScienceMathematicsComputational GeometryComputer GraphicsGeometryConvex GeometryCurvature AnalysisCurve FittingCurve InterpolationGeometry ProcessingSpline CurvesCurvatureInterpolating SplinesMatching ConditionsMinimum Curvature InterpolationMonotonicity ConstraintsSpline ApproximationSpline FittingSpline Interpolation
A method is presented for constructing a quadratic spline function satisfying area-matching conditions and local monotonicity constraints, according to the frequencies on the class intervals and to the shape of a given histogram. Such a function is “as close as possible” to the quadratic spline that satisfies the area-matching conditions and the minimum curvature property and generally exhibits a visually pleasing graph.
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Introduction to Statistical Analysis.
V. V. Latshaw, W. J. Dixon, Frank J. Massey · American Mathematical Monthly · 1957 · 5.1K citations
Introduction to Statistical Analysis - 2nd ed. -
W. J. Dixon, Frank J. Massey · 1957 · 228 citations
On Monotone and Convex Spline Interpolation
Paolo Costantini · Mathematics of Computation · 1986 · 71 citations · Full text