## Estimating Distribution Fun c ti o ns The harder you fight to hold on to specific assumptions, the more likely there's gold in letting go of them. John Seely Brown. former Chief Scientist at Xerox Corporation ### 10.1 Introduction Let X I , X z , . . . , X , be a sample from a population wit
โฆ LIBER โฆ
Dirichlet invariant processes and applications to nonparametric estimation of symmetric distribution functions
โ Scribed by S.R. Dalal
- Publisher
- Elsevier Science
- Year
- 1979
- Tongue
- English
- Weight
- 703 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0304-4149
No coin nor oath required. For personal study only.
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In (I), we describe a numerical method for determining the relaxation distribution function from decay curves. The distribution function is expanded in a series of appropriate polynomials and the best values of the coefficients are determined by the method of least squares. In order to examine its a