The Kernel method of density estimation using Turbo Pascal version 4.0

Date of Publication

1991

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Applied Mathematics

College

College of Science

Department/Unit

Mathematics and Statistics

Abstract/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.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU05851

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

69 leaves

Keywords

Kernel functions; Probabilities; PASCAL (Computer program language); Functions--Computer programs; Computer programs

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