Performance evaluation of the Ordinary Least Square (OLS) and Total Least Square (TLS) in adjusting field data: an empirical study on a DGPS data
نویسندگان
چکیده
منابع مشابه
Fast Least Square Matching
Least square matching (LSM) is one of the most accurate image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing t...
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Introduction Statistical analysis of the data on the Earth's surface was a favorite subject among many researchers. Such data can be related to animal's migration from a region to another position. Then, statistical modeling of their paths helps biological researchers to predict their movements and estimate the areas that are most likely to constitute the presence of the animals. From a geome...
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Smoothing and differentiation of data by simplified least square procedure.
The linearity of the detection system including the attenuator will directly affect the accuracy of 0 and should be considered when making calculations. Using Equation 8, resolution may be calculated for adjacent peaks that may vary in height as much as the dynamic range of the instrument. All that is required to make an accurate determination of 0 is the peak and valley heights and their respe...
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Chi-square tests are generally used for distinguishing purposes; however when they are combined to simultaneously test several independent variables, extra notation is required. In this study, the chi-square statistics in some previous works is revealed to be computed half of its real value. Therefore, the notion of Multi _ Chi-square tests is formulated to avoid possible future confusions. In ...
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ژورنال
عنوان ژورنال: South African Journal of Geomatics
سال: 2017
ISSN: 2225-8531
DOI: 10.4314/sajg.v6i1.5