uM3pool: Pooled central moment estimates - two-sample
In innager/Umoments: Unbiased Central Moment Estimates

Description Usage Arguments Value See Also Examples

Calculate pooled unbiased estimates of central moments and their powers and products.

1	uM3pool(m3, n_x, n_y)

`m3`	naive biased third central moment estimate m[3] = mean(c((X - X-bar)^3, (Y - Y-bar)^3)) for vectors `X` and `Y`.
`n_x`	number of observations in the first group.
`n_y`	number of observations in the second group.

Pooled estimate of a third central moment.

Other pooled estimates (two-sample): uM2M3pool, uM2M4pool, uM2pool, uM2pow2pool, uM2pow3pool, uM3pow2pool, uM4pool, uM5pool, uM6pool

nx <- 10
ny <- 8
shp <- 3
smpx <- rgamma(nx, shape = shp) - shp
smpy <- rgamma(ny, shape = shp)
mx <- mean(smpx)
my <- mean(smpy)
m  <- numeric(3)
for (j in 2:3) {
  m[j] <- mean(c((smpx - mx)^j, (smpy - my)^j))
}
uM3pool(m[3], nx, ny)