The "classical" method of ordinary least squares which estimate two parameters of a linear (e.g. the demand) function is structuralistically reconstructed and is discussed from the point of theory of theories. The question is whether this statistical method can be subsumed under the notion of methods of measurement. The example used here is of course paradigmatic. The question in general is, whether a statistical procedure can be used in the right circumstances as a measurement procedure. We find arguments for the latter option
This book contains basic and essential facts on measurement. Starting from a presentation of the con...
The least-squares method was firmly established as a scientific approach by Gauss, Legendre and Lapl...
The major challenge of econometrics is assessing the essentials of relationships between empirical p...
The "classical" method of ordinary least squares which estimate two parameters of a linear (e.g. the...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
In the standard classical regression model the most commonly used procedures for estimation are base...
Abstract The article studies the least squares method and its application for estimating measuremen...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
Mathematical measures of entropy as defined by Shannon (1948) and Kullback and Leibler (1951) are cu...
The earliest method of estimation of statistical parameters is the method of least squares due to Ma...
The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is give...
Analytical calibration using ordinary least squares (OLS) is the most widely applied response functi...
The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters o...
There are various approaches to the problem of how one is supposed to conduct a statistical analysis...
Neuss: Bruno Buike 2008, 59p. - (Marburg: Tectum microfiche 1996 – ISBN 3-89608-865-3) - In coursebo...
This book contains basic and essential facts on measurement. Starting from a presentation of the con...
The least-squares method was firmly established as a scientific approach by Gauss, Legendre and Lapl...
The major challenge of econometrics is assessing the essentials of relationships between empirical p...
The "classical" method of ordinary least squares which estimate two parameters of a linear (e.g. the...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
In the standard classical regression model the most commonly used procedures for estimation are base...
Abstract The article studies the least squares method and its application for estimating measuremen...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
Mathematical measures of entropy as defined by Shannon (1948) and Kullback and Leibler (1951) are cu...
The earliest method of estimation of statistical parameters is the method of least squares due to Ma...
The least square method is analyzed. The basic aspects of the method are discussed. Emphasis is give...
Analytical calibration using ordinary least squares (OLS) is the most widely applied response functi...
The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters o...
There are various approaches to the problem of how one is supposed to conduct a statistical analysis...
Neuss: Bruno Buike 2008, 59p. - (Marburg: Tectum microfiche 1996 – ISBN 3-89608-865-3) - In coursebo...
This book contains basic and essential facts on measurement. Starting from a presentation of the con...
The least-squares method was firmly established as a scientific approach by Gauss, Legendre and Lapl...
The major challenge of econometrics is assessing the essentials of relationships between empirical p...