hi stan
Thought some thing like this would be another approach to predictions have a look at it.
program( lottery statistics analyser ) you might be able to incorporate this into el 5
Jerzy wrote:Probably the most interesting feature which would be worth implementing in EL5 is the possibility to perform LOWESS regression on past numbers to predict next drawing's numbers.
I understand that it is, or could be, a useful tool for winning the lower prizes more often.
LOWESS (locally weighted scatterplot smoothing) is a modern modelling method that is build on classical linear and nonlinear least square regression. There is also LOESS regression. However, I am not a mathematician and I can't discuss this matter in details.
Jerzy wrote:LOWESS (locally weighted scatterplot smoothing) is a modern modelling method that is build on classical linear and nonlinear least square regression. There is also LOESS regression. However, I am not a mathematician and I can't discuss this matter in details.
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