[Quote = candero; 7371159] {quote} Gracias por el enlace, G! Cerebritos de matemáticas, me pregunto qué fractales y ZZS siguen la curva de campana? Mandelbrot ciertamente dejó en claro que el precio no lo hace. [/ Quote]
You can see a good example with the use of Gauss in the calculation of probability of length .
The binomial probability can not be used because it is for smaller samples of 30 elements.
The data do not fit a normal distribution .
Bayes usually used in samples with independence between the variables .
There is a Bayes method for dependency between variables rather interesting .
T -student is a derivation of normal distribution . Data need to fit a normal distribution .
I like the logarithmic , but the log should be applied elsewhere in prices.
In conclusion, we have a continuous random process with dependence between variables. Is continuous because it always depends on ( t). There dependence , because there is dependence between sequences bars.
The probabilistic model is not perfect . There will always be market conditions that alter the odds. We saw performances in Graph gg53 . During a certain period , was very successful , but at a certain point I had an error that resulted in losses. Do not obsessions with perfect entries During all time . We are doing calculations with past data. Extrapolation in time are not accurate.
thank you very much
You can see a good example with the use of Gauss in the calculation of probability of length .
The binomial probability can not be used because it is for smaller samples of 30 elements.
The data do not fit a normal distribution .
Bayes usually used in samples with independence between the variables .
There is a Bayes method for dependency between variables rather interesting .
T -student is a derivation of normal distribution . Data need to fit a normal distribution .
I like the logarithmic , but the log should be applied elsewhere in prices.
In conclusion, we have a continuous random process with dependence between variables. Is continuous because it always depends on ( t). There dependence , because there is dependence between sequences bars.
The probabilistic model is not perfect . There will always be market conditions that alter the odds. We saw performances in Graph gg53 . During a certain period , was very successful , but at a certain point I had an error that resulted in losses. Do not obsessions with perfect entries During all time . We are doing calculations with past data. Extrapolation in time are not accurate.
thank you very much