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Curve Fitting to Step Functions

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  • Oscar R. Burt

Abstract

The methods presented in this paper provide an improved technique for fitting a continuous function to discontinuous step functions so often evolving from empirical studies such as estimation of demand and supply functions by linear programming. Curve fitting to step functions is analyzed using the criterion of minimizaton of the integral of squared distances between the curve being fitted and a step function. The criterion is a limiting form of least squares fit where all points on the step function are treated as "observations." Derivations are given for equations specifying the minimum integral fit for polynomials, a criterion of fit analogous to the coefficient of multiple determination in least squares fitting, and the analogue of the standard error of estimate in least squares.

Suggested Citation

  • Oscar R. Burt, 1964. "Curve Fitting to Step Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 46(3), pages 662-672.
  • Handle: RePEc:oup:ajagec:v:46:y:1964:i:3:p:662-672.
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    File URL: http://hdl.handle.net/10.2307/1236450
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    Cited by:

    1. Ogunfowora, Olabisi, 1972. "Derived resource demand, product supply and farm policy in the North Central State of Nigeria," ISU General Staff Papers 197201010800006945, Iowa State University, Department of Economics.

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