Introduction

Karl-Rudolf Koch
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Karl-Rudolf Koch: Institute of Theoretical Geodesy of the University of Bonn

A chapter in Parameter Estimation and Hypothesis Testing in Linear Models, 1999, pp 1-1 from Springer

Abstract: Abstract Parameters have to be estimated, if certain phenomena, procedures or events are observed, in order to draw conclusions or gain knowledge, for instance about the future development of the observed events. The estimation of parameters is therefore needed for the mathematical modeling of the observed phenomena. The observations are functions of the unknown parameters. The type of function follows from the physical law or the geometry governing the experiment, or from the experiment itself. The functional relationship between the observations and the unknown parameters form one part of the model for estimating the parameters.

Keywords: Mathematical Modeling; Linear Model; Parameter Estimation; Stochastic Process; Probability Theory (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-03976-2_1

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DOI: 10.1007/978-3-662-03976-2_1

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