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Estimating Frequency Functions from Limited Data

Published online by Cambridge University Press:  19 October 2009

Keith C. Brown
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It is often necessary to estimate a frequency function or certain points on a frequency function from very limited data. A usual procedure for this estimation involves two steps. From the set of “well-known” frequency functions, e.g., the normal, poisson, binomial, etc., one chooses that function which seems likely to best “fit” and then uses the available data to estimate the parameters of the chosen distribution. If no one “well-known” function can be chosen a priori, then perhaps several likely candidates are tried and the one which fits best according to some criterion is chosen. For many purposes, this procedure is quite unobjectionable.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 5 , Issue 1 , March 1970 , pp. 139 - 148
Copyright
Copyright © School of Business Administration, University of Washington 1970

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References

REFERENCES

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