rsolve({g(m, n) = g(m − 1, n) + g(m, n − 1)},g,'genfunc'(a,b));

why no solution

as i do not know what is nu and omega in beta distribution, can i solve it by equating with mean of real data's mean and stardard derivation, to find nu and omega, but solution of nu is negative, 

i guess this method may be wrong, as result diagram is not fitted with real data

and weibull using this method, can not be solved and said solution lost

what is the correct way to draw it?

https://en.wikipedia.org/wiki/Coproduct

would like to do a sheaf which is a mapping from subset of prime ideal to coproduct of ring Ap where p belong to Prime ideal of A

restart;

with(ExcelTools):

with(ListTools):

with(DynamicSystems):

filename := "MSFT";

close3 := Import(cat(cat("C://US//",filename),".xls"), filename, "E2:E100");

this i usually use ln(close3[n]/close[n-1]) as the original series

as i do not know whether Sample in statistics package can use this directly,

or 

need to use counting to classify them into some group and got a distribution graph

genDE := Diff(g(t),t)^2 - 1 - x*(g(t))^2 - (y-x^2)/12*(g(t))^4 = 0;gensol := dsolve(genDE,g(t));genfun := rhs(gensol[1]);

from above, i got generating function and then continue to derive got the following error

u = ln(-sqrt((-z^2+y)*(-3*z+sqrt(12*z^2-3*y)))*z^2/(sqrt(-z^3*(-3+2*sqrt(3)*csgn(z)))*(-z^2+y)))/x;

tau := subs(u=z,solve(q,z));

it said solution may have lost

if this can not be direct to...