Description Usage Arguments Details Value Examples
View source: R/moezipfMoments.R
General function to compute the k-th moment of the MOEZipf distribution for any integer value k ≥q 1, when it exists. The k-th moment exists if and only if α > k + 1. For k = 1, this function returns the same value as the moezipfMean function.
1 | moezipfMoments(k, alpha, beta, tolerance = 10^(-4))
|
k |
Order of the moment to compute. |
alpha |
Value of the α parameter (α > k + 1). |
beta |
Value of the β parameter (β > 0). |
tolerance |
Tolerance used in the calculations (default = 10^{-4}). |
The k-th moment is computed by calculating the partial sums of the serie, and stopping when two
consecutive partial sums differ less than the tolerance
value.
The value of the last partial sum is returned.
A positive real value corresponding to the k-th moment of the distribution.
1 2 | moezipfMoments(3, 4.5, 1.3)
moezipfMoments(3, 4.5, 1.3, 1*10^(-3))
|
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