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  • 1.
    Eshagh, Mehdi
    Royal Institute of Technology Division of Geodesy .
    On the estimation of variance in unstable condition adjustment models2011In: Acta Geodaetica et Geophysica Hungarica, ISSN 1217-8977, E-ISSN 1587-1037, ISSN 1217-8977, Vol. 46, no 1, p. 71-83Article in journal (Refereed)
    Abstract [en]

    Estimation of variance in an ordinary adjustment model is straightforward, but if the model becomes unstable or ill-conditioned its solution and the variance of the solution will be very sensitive to the errors of observations. This sensitivity can be controlled by stabilizing methods but the results will be distorted due to stabilization. In this paper, stabilizing an unstable condition model using Tikhonov regularization, the estimations of variance of unit weight and variance components are investigated. It will be theoretically proved that the estimator of variance or variance components has not the minimum variance property when the model is stabilized, but unbiased estimation of variance is possible. A simple numerical example is provided to show the performance of the theory.

    |

  • 2.
    Flensburg, Per
    et al.
    University West, School of Business, Economics and IT, Divison of Informatics.
    Holl, Alfred
    Technische Hochschule Nürnberg Georg Simon Ohm / University Nuremberg, Germany.
    Das älteste gedruckte schwedische Rechenbuch (Aegidius Aurelius, Arithmetica, Uppsala 1614): (Aegidius Aurelius, Arithmetica, Uppsala 1614)2017In: Tagungsband zum wissenschaftlichen Kolloquium vom 21.–23. April 2017 in der Berg- und Adam-Ries-Stadt Annaberg-Buchholz / [ed] Gebhardt, Rainer, Annaberg-Buchholz: Adam-Ries-Bund , 2017, p. 313-326Conference paper (Other academic)
  • 3.
    Nilsson, Galina
    et al.
    University West, Department of Engineering Science, Division of Mechanical Engineering and Natural Sciences.
    Luchinskaya, Elena
    Leeds Beckett University, Lancaster University, United Kingdom.
    Kristiansson, Lilia
    University West, Department of Engineering Science, Division of Mechanical Engineering and Natural Sciences.
    Enhancing Students' Performance In Maths Through Supplemental Instruction2016Conference paper (Other academic)
1 - 3 of 3
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