Not the Grail, just a regular one - Bablokos!!! - page 411
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
Then why is this section called "linear regression" in the alglibe, if even a quadratic function can be substituted there?
http://alglib.sources.ru/dataanalysis/linearregression.php
Linear regression is a regression that produces a line. )
Not exactly, linear regression is a model of linear relationship between the target variable and the input variables, in the special case when the input variable is one we get y=a*x+c where c is a free term constant (vertical shift) and this special case can be represented graphically as a line on a plane, in case of two input variables it is a linear polynomial y=a1*x1+a2*x2+cit can be represented as a plane, and it is also a linear regression, when there are more than two variables it cannot be represented even in 3D, but it is also a linear model, and the target function (y) can be defined as desired, it can be a line and a root and a parabola and a sine and a neighborhood fence, that is any function can be used as the target variable (discretely by points).
Not exactly, linear regression is a model of linear relationship between the target variable and the input variables, in the special case when the input variable is one we get y=a*x+c where c is a free term constant (vertical shift) and this special case can be represented graphically as a line on a plane, in case of two input variables it is a linear polynomial y=a1*x1+a2*x2+cit can be represented as a plane, and it is also a linear regression, when there are more than two variables it cannot be represented even in 3D, but it is also a linear model, and the target function (y) can be defined as desired, it can be a line and a root and a parabola and a sine and a neighbour's fence, that is any function can be used as the target variable (discretely by points).
i.e. solve the problem in reverse of yours.
You have a parabola and approximate the synthetic to it.
Do you want to approximate a parabola that best fits on the price chart? Is lrbuild going to work?
can we get a parabola as the resulting function?
i.e. solve the problem in reverse of yours.
You have a parabola and approximate the synthetic to it.
Do you want to approximate a parabola that best fits on the price chart? Is lrbuild going to work?
In this case we can also use non-linear models, e.g. the PolynomialFit function, but it has its own peculiarities such as conversion from/to a barycentric form.
In this case you can also use non-linear models such as the PolynomialFit function, but it has its own features such as conversion from/to barycentric form
ok. it's probably more complicated there.
Yes, so if the starting point is known, I would try to do a simple enumeration in the loop y=k*x^2 on the variable k.
Well, after you hand over the bottles, why don't we start a portfolio trade with synthetics on the forex market?
Better choice: factory+mine+construction in three shifts, but forget about trading, it's a waste of time
forgets to mention that he means his own plant
He did, he bought factories, but he didn't buy workers - he forgot.