Central Limit Theorem
Function: calc[CLTdiscr] - Central Limit Theorem for discrete distributions
Calling Sequence:
CLTdiscr
Parameters:
f - generating function for a discrete distribution
j - number of variables in the initial sum of the random variables
n - number of variables in the random sample
Stand = true/false , true: distributions are standardized, false: distributions are not standardized
Hist = true/false, true: plots histogram,
: plots only the midpoint on the upper end of each rectangle of the histogram
K = false/k, if k = positive integer the histogram with constant width is plotted independent of the choices of
and
. Otherwise, select false
Description:
Examples:
| > | restart: with(calc): |
| > | f:=t->.32*t^(-3)+.1*t^(-1)+.33*t+.1*t^3+.15*t^4; |
Some "messy" distribution
| > | CLTdiscr(f,1,20,true,true,false); |
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Skew binomial distribution
| > | f:=t->.7+.3*t; |
| > | CLTdiscr(f,1,40,true,true,false); |
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Throwing dice
| > | f:=t->1/6*t+1/6*t^2+1/6*t^3+1/6*t^4+1/6*t^5+1/6*t^6; |
| > | CLTdiscr(f,1,10,true,true,false); |
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