A remark on application of least square method
Gang Li · Journal of Guizhou University · 2007
It is difficult to find the best least square polynomial to fitting the curve of observed data when the graph of fitted data is approximate to N-polynomial.In this thesis,the new fitting method is obtained by using the variance instead of the error of square.This method is based on zero hypothesis and their related results in statistic.After many data test,we find that this new method is better than the classical least square polynomial method in this case.At last,an example is given to illustrate our result.