Detecting Systematic Errors Remained In The First-Order ClassⅠLeveling Network of Taiwan By Using Statistical Techniques
Date Issued
2005
Date
2005
Author(s)
Lin, Tseng-Chin
DOI
zh-TW
Abstract
This research adopts the methods of statistics such as (1) Analysis of Variance,(2) Time Series and (3) Multiple Linear Regression to detect the systematic errors remained in the First-order class I leveling network of Taiwan(2001).
From the results of Analysis of Variance, there are still some obviously systematic errors remained in the First-order class I leveling network of Taiwan (2001). Furthermore, the remained systematic errors can be found in which lines by using Time Series. Finally, Multiple Linear Regression can be used to analysis the discrepancies in those lines. The results show that the systematic errors are related to the lengths of sections, heights of sections, temperature of environment, and quantity of orchometric correction. The lengths of sections influence the systematic errors most.
Subjects
水準網
變異數分析法
時間序列分析法
多重線性迴歸分析法
Leveling Network
Analysis of Variance
Time Series
Multiple Linear Regression
Type
thesis
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