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
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...
Measurement is widely applied because its results are assumed to be more reliable than opinions and ...
The "classical" method of ordinary least squares which estimate two parameters of a linear (e.g. the...
In the standard classical regression model the most commonly used procedures for estimation are base...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
In the calibration of a measurement system, data are collected in order to estimate a mathematical m...
In both scientific and lay settings, measurement is considered a privileged source of high-quality i...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
The major challenge of econometrics is assessing the essentials of relationships between empirical p...
pathology of scienceº, is contrasted with conventional de®nitions provided by leading texts. The key...
In the normal linear regression the least square estimation of the coefficients has a series of nice...
The distinctions between nominal, ordinal, interval, and ratio measurement were popularized by S. S....
This dissertation is composed of projects on three aspects of gathering and learning from data in th...
What is called measurement in human sciences such as sociology is different from other uses of the t...
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...
Measurement is widely applied because its results are assumed to be more reliable than opinions and ...
The "classical" method of ordinary least squares which estimate two parameters of a linear (e.g. the...
In the standard classical regression model the most commonly used procedures for estimation are base...
The preferred method of data analysis of quantitative experiments is the method of least squares. Of...
In the calibration of a measurement system, data are collected in order to estimate a mathematical m...
In both scientific and lay settings, measurement is considered a privileged source of high-quality i...
The method of least squares was proposed in 1805 and soon became a standard tool in astronomy and ge...
The major challenge of econometrics is assessing the essentials of relationships between empirical p...
pathology of scienceº, is contrasted with conventional de®nitions provided by leading texts. The key...
In the normal linear regression the least square estimation of the coefficients has a series of nice...
The distinctions between nominal, ordinal, interval, and ratio measurement were popularized by S. S....
This dissertation is composed of projects on three aspects of gathering and learning from data in th...
What is called measurement in human sciences such as sociology is different from other uses of the t...
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...
Measurement is widely applied because its results are assumed to be more reliable than opinions and ...