The Kernel method of density estimation using Turbo Pascal version 4.0
Density Estimation, particularly the procedure using Kernel Functions, is fast becoming a crucial area of investigation in non-parametric statistics. This paper presents a computer program which empirically produces estimates of probability density functions using Kernel functions. It also attempts...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
1991
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/16015 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | Density Estimation, particularly the procedure using Kernel Functions, is fast becoming a crucial area of investigation in non-parametric statistics. This paper presents a computer program which empirically produces estimates of probability density functions using Kernel functions. It also attempts to evaluate the discrepancy of the estimates, as well as to collate observations on the resulting estimates, using as reference the limited samples generated and particular Kernel functions. |
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