Illustrative presentation of some basic concepts of network internal reliability with comments as regards engineering surveys

IF 0.3 Q4 REMOTE SENSING Reports on Geodesy and Geoinformatics Pub Date : 2016-06-01 DOI:10.1515/rgg-2016-0021
W. Prószyński
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引用次数: 2

Abstract

Abstract The paper integrates some earlier and the recent findings of the author in the area of network internal reliability and presents a consistent system of concepts in this respect. The concepts of outlier detection and outlier identification linked directly with the global model test and the outlier tests respectively, are shown as a basis for the concepts such as outlier detectability and outlier identifiability. Also, a four level classification of gross errors expressed in a form of a tree-diagram is presented including perceptible and imperceptible errors, detectable and undetectable errors and identifiable and unidentifiable errors. Their properties are given mainly in a descriptive way, deliberately limiting rigorous mathematical formulas to a necessary minimum. Understanding of different types of gross errors is useful in analyzing the results of the outlier detection and identification procedures as well as in designing the networks to make them duly robust to observation gross errors. It is of special importance for engineering surveys where quite often low-redundancy networks are used. Main objective of the paper is to demonstrate a clear and consistent system of basic concepts related to network internal reliability.
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阐述了网络内部可靠性的一些基本概念,并就工程测量提出了意见
本文整合了作者在网络内部可靠性领域的一些早期和最近的研究成果,并提出了这方面的一个一致的概念体系。与全局模型检验和离群值检验直接相关的离群值检测和离群值识别概念分别作为离群值可检测性和离群值可识别性等概念的基础。此外,还提出了以树形图形式表示的严重错误的四级分类,包括可感知错误和不可感知错误、可检测错误和不可检测错误以及可识别错误和不可识别错误。它们的性质主要以描述性的方式给出,故意将严格的数学公式限制到必要的最小值。了解不同类型的粗差对于分析离群值检测和识别程序的结果以及设计网络以使其对观测粗差具有适当的鲁棒性是有用的。这对于经常使用低冗余网络的工程测量特别重要。本文的主要目的是论证一个清晰一致的网络内部可靠性相关基本概念体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
28.60%
发文量
5
审稿时长
12 weeks
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