An Overture for the Improvement of Least Square Adjustment with Mini-Computer

Open Access
Publisher Website
Google Scholar
Abstract
Nonlinear least square method is a procedure for the analysis of pharmacokinetic data. This method occasionally gives a much larger sum of square values to make the computation chaotic. To overcome this difficulty, various procedures were devised. After deliberation of characteristic features of normal equation and its coefficient matrix, a temporal discard procedure was designed. When this failed to give a smaller sum of square values the row and the column of the coefficient matrix which includes the largest or smallest element on the principal diagonal are discarded. The search for the least square parameters is continued with the smaller normal matrix thus obtained. Preliminary test calculation gave satisfactory results.

This publication has 0 references indexed in Scilit: