standard deviation of ion current fluctuationsConverting standard deviation numberStandard deviation / Bell Shaped DistributionProblem on Standard Deviationcombined standard deviationAlternative Standard Deviation Calculationsapproximate standard deviationfind mean and standard deviation for current and powerStandard DeviationIonic Current fluctuationsRandom Variables in dependence of a function
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standard deviation of ion current fluctuations
Converting standard deviation numberStandard deviation / Bell Shaped DistributionProblem on Standard Deviationcombined standard deviationAlternative Standard Deviation Calculationsapproximate standard deviationfind mean and standard deviation for current and powerStandard DeviationIonic Current fluctuationsRandom Variables in dependence of a function
$begingroup$
let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).
All $X_i$ are independent - maybe we can assume a N(0,1) distribution.
The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum
$sum_i=1^nX_i$
grows proportional to $sqrtn$
but I dont know, how to deal with the dependency on a function.
Shall i look at
$sum_i=1^nV(X_i)$ ?
I dont know how to handle this issue.
probability-theory probability-distributions standard-deviation
$endgroup$
add a comment |
$begingroup$
let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).
All $X_i$ are independent - maybe we can assume a N(0,1) distribution.
The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum
$sum_i=1^nX_i$
grows proportional to $sqrtn$
but I dont know, how to deal with the dependency on a function.
Shall i look at
$sum_i=1^nV(X_i)$ ?
I dont know how to handle this issue.
probability-theory probability-distributions standard-deviation
$endgroup$
add a comment |
$begingroup$
let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).
All $X_i$ are independent - maybe we can assume a N(0,1) distribution.
The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum
$sum_i=1^nX_i$
grows proportional to $sqrtn$
but I dont know, how to deal with the dependency on a function.
Shall i look at
$sum_i=1^nV(X_i)$ ?
I dont know how to handle this issue.
probability-theory probability-distributions standard-deviation
$endgroup$
let us assume we divide a piece of membrane into $n$ parts. Every part contributes with a specific electric potential, which is represented by $X_i$ $i=1,...,n$ random variables. So with probability $p_i$ the part $X_i$ is sending an impulse (mostly this impulse should be in the range of $[0,1]$).
All $X_i$ are independent - maybe we can assume a N(0,1) distribution.
The $X_i$ are dependent on the total membrane voltage V(t). I want to show, that the standard deviation of the sum
$sum_i=1^nX_i$
grows proportional to $sqrtn$
but I dont know, how to deal with the dependency on a function.
Shall i look at
$sum_i=1^nV(X_i)$ ?
I dont know how to handle this issue.
probability-theory probability-distributions standard-deviation
probability-theory probability-distributions standard-deviation
asked Mar 11 at 10:32
Calculator123Calculator123
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