MP estimation applied to platykurtic sets of geodetic observations

MP estimation is a method which concerns estimating of the location parameters when the probabilistic models of observations differ from the normal distributions in the kurtosis or asymmetry. The system of Pearson’s distributions is the probabilistic basis for the method. So far, such a method was a...

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Main Author: Wiśniewski Zbigniew
Format: Article
Language:English
Published: Polish Academy of Sciences 2017-06-01
Series:Geodesy and Cartography
Subjects:
Online Access:http://www.degruyter.com/view/j/geocart.2017.66.issue-1/geocart-2017-0001/geocart-2017-0001.xml?format=INT
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spelling doaj-2199e103f57b4610b7bc8f31883e2f932020-11-25T02:50:39ZengPolish Academy of SciencesGeodesy and Cartography2080-67362300-25812017-06-0166111713510.1515/geocart-2017-0001geocart-2017-0001MP estimation applied to platykurtic sets of geodetic observationsWiśniewski Zbigniew0University of Warmia and Mazury, Institute of Geodesy, 1 Oczapowskiego St., 10-957Olsztyn, PolandMP estimation is a method which concerns estimating of the location parameters when the probabilistic models of observations differ from the normal distributions in the kurtosis or asymmetry. The system of Pearson’s distributions is the probabilistic basis for the method. So far, such a method was applied and analyzed mostly for leptokurtic or mesokurtic distributions (Pearson’s distributions of types IV or VII), which predominate practical cases. The analyses of geodetic or astronomical observations show that we may also deal with sets which have moderate asymmetry or small negative excess kurtosis. Asymmetry might result from the influence of many small systematic errors, which were not eliminated during preprocessing of data. The excess kurtosis can be related with bigger or smaller (in relations to the Hagen hypothesis) frequency of occurrence of the elementary errors which are close to zero. Considering that fact, this paper focuses on the estimation with application of the Pearson platykurtic distributions of types I or II. The paper presents the solution of the corresponding optimization problem and its basic properties.http://www.degruyter.com/view/j/geocart.2017.66.issue-1/geocart-2017-0001/geocart-2017-0001.xml?format=INTM and MP estimationplatykurtic probabilistic modelsPearson’s distributions
collection DOAJ
language English
format Article
sources DOAJ
author Wiśniewski Zbigniew
spellingShingle Wiśniewski Zbigniew
MP estimation applied to platykurtic sets of geodetic observations
Geodesy and Cartography
M and MP estimation
platykurtic probabilistic models
Pearson’s distributions
author_facet Wiśniewski Zbigniew
author_sort Wiśniewski Zbigniew
title MP estimation applied to platykurtic sets of geodetic observations
title_short MP estimation applied to platykurtic sets of geodetic observations
title_full MP estimation applied to platykurtic sets of geodetic observations
title_fullStr MP estimation applied to platykurtic sets of geodetic observations
title_full_unstemmed MP estimation applied to platykurtic sets of geodetic observations
title_sort mp estimation applied to platykurtic sets of geodetic observations
publisher Polish Academy of Sciences
series Geodesy and Cartography
issn 2080-6736
2300-2581
publishDate 2017-06-01
description MP estimation is a method which concerns estimating of the location parameters when the probabilistic models of observations differ from the normal distributions in the kurtosis or asymmetry. The system of Pearson’s distributions is the probabilistic basis for the method. So far, such a method was applied and analyzed mostly for leptokurtic or mesokurtic distributions (Pearson’s distributions of types IV or VII), which predominate practical cases. The analyses of geodetic or astronomical observations show that we may also deal with sets which have moderate asymmetry or small negative excess kurtosis. Asymmetry might result from the influence of many small systematic errors, which were not eliminated during preprocessing of data. The excess kurtosis can be related with bigger or smaller (in relations to the Hagen hypothesis) frequency of occurrence of the elementary errors which are close to zero. Considering that fact, this paper focuses on the estimation with application of the Pearson platykurtic distributions of types I or II. The paper presents the solution of the corresponding optimization problem and its basic properties.
topic M and MP estimation
platykurtic probabilistic models
Pearson’s distributions
url http://www.degruyter.com/view/j/geocart.2017.66.issue-1/geocart-2017-0001/geocart-2017-0001.xml?format=INT
work_keys_str_mv AT wisniewskizbigniew mpestimationappliedtoplatykurticsetsofgeodeticobservations
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