Koen Van de moortel - Profile on Academia.edu (original) (raw)
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Papers by Koen Van de moortel
Short english summary: The situation of the flemish/dutch language (spoken in Flanders (Northern ... more Short english summary:
The situation of the flemish/dutch language (spoken in Flanders (Northern belgium)/The Netherlands) is bad:
- A lot of the original beautififul, and especially in flemish, baroque expression are disappearing because local language ("dialects") is labeled as bad by the language elite.
- Especially the business and advertising world pollute the language with lots of unnecessary english, mainly for reasons of laziness and snobism.
- Since 1996 the spelling rules have been made ridiculously stupid by what seems to be a group of incompetent sadists.
Two methods for finding the "best" curve fitting through a set of data points are evaluated here:... more Two methods for finding the "best" curve fitting through a set of data points are evaluated here: "multidirectional" and "ordinary" least squares regression (MDLS and OLS). The same artificial datasets with several amplitudes of generated noise were fed to both algorithms and the results were compared.
The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. I... more The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. It’s so common that one might think nothing could be improved to the algorithm anymore. But it can. By searching the ‘least squares’ not just in the vertical direction. The first test results are very promising, and especially for power functions, often used in biomedical sciences, the conclusions you make from your data can change dramatically.
Non-linear regression -Why you shouldn't take the logarithms of your variables, 2021
For non-linear regression, often the logarithms of the variables are taken, to reduce the problem... more For non-linear regression, often the logarithms of the variables are taken, to reduce the problem to a linear regression.
With some examples, I explain you why this is not such a good idea.
Teaching Documents by Koen Van de moortel
Woordenschat, voedselbudget en logaritmen, 2023
Wat hebben de woordenrijkdom van een schrijver en iemands budget besteed aan voedsel met mekaar t... more Wat hebben de woordenrijkdom van een schrijver en iemands budget besteed aan voedsel met mekaar te maken? Wel, meer dan u zou denken! Het wiskundig verband verband blijkt logaritmisch te zijn.
Deze tekst zal een stukje zijn in mijn volgend (Engelstalig) boek i.v.m. regressie.
Trefwoorden: #regressie #logaritme #Heap #woordenschat
Regression analysis with FittingKVdm - Short introduction video
FittingKVdm 1.4 - introduction video, 2023
FittingKVdm is a windows software program for regression analysis, with an improved algorithm. S... more FittingKVdm is a windows software program for regression analysis, with an improved algorithm.
See: www.lerenisplezant.be/fitting.htm
#regression #analysis #mathematical #modeling #software #curve #fitting
Does a person unconsciously improve his psychomotor while performing a simple task like throwing ... more Does a person unconsciously improve his psychomotor while performing a simple task like throwing a pebble? Apparently he/she does, at least with our test person. The hypothesis was tested with 3 different methods: comparing averages, Kendall's tau, and regression.
Drafts by Koen Van de moortel
The Body Mass Index recalculated, 2022
The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. I... more The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. It’s so common that one might think nothing could be improved to the algorithm anymore. But it can. By minimizing the squares of the differences between measured and predicted values not only in the vertical, but also in the horizontal direction. I call this ‘multidirectional regression’. The difference is very significant, especially for power function models, often used in biomedical sciences. And it makes the regression invariant if the dependent and independent variables are switched. This was a neglected problem with the traditional method. The Body Mass Index and the Corpulence Index and their correlation with body fat percentage are studied here as an example showing that this regression technique produces better results.
Short english summary: The situation of the flemish/dutch language (spoken in Flanders (Northern ... more Short english summary:
The situation of the flemish/dutch language (spoken in Flanders (Northern belgium)/The Netherlands) is bad:
- A lot of the original beautififul, and especially in flemish, baroque expression are disappearing because local language ("dialects") is labeled as bad by the language elite.
- Especially the business and advertising world pollute the language with lots of unnecessary english, mainly for reasons of laziness and snobism.
- Since 1996 the spelling rules have been made ridiculously stupid by what seems to be a group of incompetent sadists.
Two methods for finding the "best" curve fitting through a set of data points are evaluated here:... more Two methods for finding the "best" curve fitting through a set of data points are evaluated here: "multidirectional" and "ordinary" least squares regression (MDLS and OLS). The same artificial datasets with several amplitudes of generated noise were fed to both algorithms and the results were compared.
The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. I... more The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. It’s so common that one might think nothing could be improved to the algorithm anymore. But it can. By searching the ‘least squares’ not just in the vertical direction. The first test results are very promising, and especially for power functions, often used in biomedical sciences, the conclusions you make from your data can change dramatically.
Non-linear regression -Why you shouldn't take the logarithms of your variables, 2021
For non-linear regression, often the logarithms of the variables are taken, to reduce the problem... more For non-linear regression, often the logarithms of the variables are taken, to reduce the problem to a linear regression.
With some examples, I explain you why this is not such a good idea.
Woordenschat, voedselbudget en logaritmen, 2023
Wat hebben de woordenrijkdom van een schrijver en iemands budget besteed aan voedsel met mekaar t... more Wat hebben de woordenrijkdom van een schrijver en iemands budget besteed aan voedsel met mekaar te maken? Wel, meer dan u zou denken! Het wiskundig verband verband blijkt logaritmisch te zijn.
Deze tekst zal een stukje zijn in mijn volgend (Engelstalig) boek i.v.m. regressie.
Trefwoorden: #regressie #logaritme #Heap #woordenschat
Regression analysis with FittingKVdm - Short introduction video
FittingKVdm 1.4 - introduction video, 2023
FittingKVdm is a windows software program for regression analysis, with an improved algorithm. S... more FittingKVdm is a windows software program for regression analysis, with an improved algorithm.
See: www.lerenisplezant.be/fitting.htm
#regression #analysis #mathematical #modeling #software #curve #fitting
Does a person unconsciously improve his psychomotor while performing a simple task like throwing ... more Does a person unconsciously improve his psychomotor while performing a simple task like throwing a pebble? Apparently he/she does, at least with our test person. The hypothesis was tested with 3 different methods: comparing averages, Kendall's tau, and regression.
The Body Mass Index recalculated, 2022
The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. I... more The so-called ‘least squares regression’ for mathematical modeling is a widely used technique. It’s so common that one might think nothing could be improved to the algorithm anymore. But it can. By minimizing the squares of the differences between measured and predicted values not only in the vertical, but also in the horizontal direction. I call this ‘multidirectional regression’. The difference is very significant, especially for power function models, often used in biomedical sciences. And it makes the regression invariant if the dependent and independent variables are switched. This was a neglected problem with the traditional method. The Body Mass Index and the Corpulence Index and their correlation with body fat percentage are studied here as an example showing that this regression technique produces better results.