Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review,        editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Name
E-mail
Phone
Title
Content
Verification Code
Volume 13 Issue 4
Apr.  1988
Turn off MathJax
Article Contents

Wang Renxiang. Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method[J]. Geomatics and Information Science of Wuhan University, 1988, 13(4): 42-50.
Citation: Wang Renxiang. Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method[J]. Geomatics and Information Science of Wuhan University, 1988, 13(4): 42-50.

Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method

  • Received Date: 1988-09-16
  • Publish Date: 1988-04-05
  • Based upon an analysis of the relationship between patrameters of the weight function of the negative power form and the capability of locating blunders, it is found necessery to handle separately the choice of the basic variable of the weight function and the test value for statistical tests. The result of investigation shows that the so-called "enlarged residual" should be used as the basic variable of the weight function for the first two iterations, and it is better to choose the residual itself for the following. The "Standardized residual" is used as the statistical test value, while the power value of the weight function is taken from - 2.5 to - 4.0.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(660) PDF downloads(246) Cited by()

Related
Proportional views

Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method

Abstract: Based upon an analysis of the relationship between patrameters of the weight function of the negative power form and the capability of locating blunders, it is found necessery to handle separately the choice of the basic variable of the weight function and the test value for statistical tests. The result of investigation shows that the so-called "enlarged residual" should be used as the basic variable of the weight function for the first two iterations, and it is better to choose the residual itself for the following. The "Standardized residual" is used as the statistical test value, while the power value of the weight function is taken from - 2.5 to - 4.0.

Wang Renxiang. Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method[J]. Geomatics and Information Science of Wuhan University, 1988, 13(4): 42-50.
Citation: Wang Renxiang. Effects of Parameters of Weight Function for Blunder Detection by the Recursive Weighted Least Squares Method[J]. Geomatics and Information Science of Wuhan University, 1988, 13(4): 42-50.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return