English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

By using the principle of partly least square to locate and value the gross errors in the observational data, the matrix equation of the adjustment model may have ill-posed problems, which results in the locations and evaluations of the gross error unreliable. For the observational data which contain gross errors and have ill-posed problems, firstly, this paper chooses the ridge estimation to deal with the ill-posed problems, then proposes a method based on the partly least square ridge estimation to locate and value the gross errors, and the specific search steps for gross errors are given, the locations and evaluations of the gross error can be gotten by the iterative algorithm. At last ,by using the method of partly least square and the partly least square ridge estimation to locate and value the gross errors in one simulating computation, and analyzing the two methods’ results, the proposed method’s validity is verified. This method discusses the gross error approach from another perspective, it extends the existing error theory. Keywords-gross error; ill-posed problem; partly least square; ridge estimation; location and evaluation.

The Location and Evaluation of Gross Error Based on the Partly Least Square Ridge Estimation