宁波大学学报(理工版)
寧波大學學報(理工版)
저파대학학보(리공판)
JOURNAL OF NINGBO UNIVERSITY (NSEE)
2013年
1期
57-59
,共3页
最小二乘法%观察数据%偏差%联系数
最小二乘法%觀察數據%偏差%聯繫數
최소이승법%관찰수거%편차%련계수
least square method%obervation data%a deviation%connection number
通常观察数据由观察值和观察误差两部分组成.因此,可以用联系数作出客观描述,在此基础上给出了一种新的最小二乘法,比传统的最小二乘法能更细致地分析偏差的平方和,从而更精确地得到经验公式.
通常觀察數據由觀察值和觀察誤差兩部分組成.因此,可以用聯繫數作齣客觀描述,在此基礎上給齣瞭一種新的最小二乘法,比傳統的最小二乘法能更細緻地分析偏差的平方和,從而更精確地得到經驗公式.
통상관찰수거유관찰치화관찰오차량부분조성.인차,가이용련계수작출객관묘술,재차기출상급출료일충신적최소이승법,비전통적최소이승법능경세치지분석편차적평방화,종이경정학지득도경험공식.
The observation data is composed of observation value and observation error, so it can objectively be expressed by connection number. A new least square method is presented on the basis of this stated fact. It can analyze the sum of squares of deviations in a more detailed fashion, and be used to obtain the empirical formula more accurately than the traditional ones.
