Oh, I think I get it. There are two distributions, according to Alexander. Somewhere over there on the 15th point is where the second distribution peeks out from under the first.
Discrete logarithmic distribution takes natural numbers 1,2,3,... And exponential - rational numbers >= 0 ; I.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
Discrete logarithmic distribution takes as input natural numbers 1,2,3,... And exponential - rational numbers >= 0 ; i.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
In cell E2:
The log scale is a straight line. It's beautiful. Probably useless, but let it be.
Gentlemen, look at the bizarre distribution of trading intensity with an exponential reading time in the sliding exponential window = 10.000 (approximately 4.5 hours)
This was nowhere near to being the case when the quotes were read evenly.
I have no idea what it is - let it remain a mystery.
Thediscrete logarithmic distribution accepts natural numbers 1,2,3,... And exponential - rational numbers >= 0 ; I.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
In cell E2:
The log scale is a straight line. It's beautiful. Probably useless, but let it be.
Read, read... I know Doc's a genius, he doesn't write anything for nothing. Then I reread it again.
I.e., knowing that we have p=0.7 and using discrete LF generatorshttps://habrahabr.ru/post/265321/ we should not set exponential time intervals like I now TimeInterval = INT(- Ln(U))+1, where U is uniform CB from the range [0;1], but exactly TimeInterval = INT(- Ln(degree(0.3;U)) +1?
It seems that, in this particular case, we'll be destroying the "memory" almost completely... If so, Doc gets a Nobel Prize!!!!!!!!!!!!
Данная статья является продолжением поста Генераторы непрерывно распределенных случайных величин. В этой главе учитывается, что все теоремы из предыдущей статьи уже доказаны и генераторы, указанные в ней, уже реализованы. Как и ранее, у нас имеется некий базовый генератор натуральных чисел от 0 до RAND_MAX: С дискретными величинами все...
By the way, if you take p = 0.7410293952884985 for a discrete logarithmic distribution, things will be somehow closer on the logarithmic scale too.
I also read wikipedia and thought :)
Discrete logarithmic distribution takes natural numbers 1,2,3,...
And exponential - rational numbers >= 0 ; I.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
In cell E2:
The log scale is a straight line. Beautiful. Probably useless, but let it be.
Also read wikipedia and thought :)
Discrete logarithmic distribution takes as input natural numbers 1,2,3,...
And exponential - rational numbers >= 0 ; i.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
In cell E2:
The log scale is a straight line. It's beautiful. Probably useless, but let it be.
Dr. Trader! Thank you very much, what a good job!
Perhaps it also has a direct bearing on the fact that there are two distributions sitting in the incremental velocities.
https://www.mql5.com/ru/forum/221552/page204#comment_6730803
And there aren't even two...
https://www.mql5.com/ru/forum/221552/page205#comment_6731217
My God, what is this?
Gentlemen, look at the bizarre distribution of trading intensity with an exponential reading time in the sliding exponential window = 10.000 (approximately 4.5 hours)
This was nowhere near to being the case when the quotes were read evenly.
I have no idea what it is - let it remain a mystery.
Also read wikipedia and thought :)
Thediscrete logarithmic distribution accepts natural numbers 1,2,3,...
And exponential - rational numbers >= 0 ; I.e. you can subtract 1 from that pocket, and multiply by something to get into the exponential curve.
In cell E2:
The log scale is a straight line. It's beautiful. Probably useless, but let it be.
Read, read... I know Doc's a genius, he doesn't write anything for nothing. Then I reread it again.
I.e., knowing that we have p=0.7 and using discrete LF generatorshttps://habrahabr.ru/post/265321/ we should not set exponential time intervals like I now TimeInterval = INT(- Ln(U))+1, where U is uniform CB from the range [0;1], but exactly TimeInterval = INT(- Ln(degree(0.3;U)) +1?
It seems that, in this particular case, we'll be destroying the "memory" almost completely... If so, Doc gets a Nobel Prize!!!!!!!!!!!!