Interpolation of the survival function using cubic splines on m knots

Date

3-1995

Degree

Bachelor of Science in Applied Mathematics

College

College of Arts and Sciences (CAS)

Adviser/Committee Chair

Jose Almer T. Sanqui

Abstract

Cubic splines is used to interpolate the Commissioners 1918 Standard Ordinary Mortality Table. The minimum from all the maximum errors is chosen to find the best piecewise cubic spline interpolant for the whole table using tour different starting solutions sets with M entries. M are chosen to be less than N data points (M x N) to show that there would still be a good approximation for the survival function.

Language

English

Location

UPLB Main Library Special Collections Section (USCS)

Call Number

Thesis

Document Type

Thesis

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