uM2pool: 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	uM2pool(m2, n_x, n_y)

`m2`	naive biased variance estimate m[2] = mean(c((X - X-bar)^2, (Y - Y-bar)^2)) for vectors `X` and `Y`.
`n_x`	number of observations in the first group.
`n_y`	number of observations in the second group.

Pooled variance estimate.

Other pooled estimates (two-sample): uM2M3pool, uM2M4pool, uM2pow2pool, uM2pow3pool, uM3pool, uM3pow2pool, uM4pool, uM5pool, uM6pool

nx <- 10
ny <- 8
shp <- 3
smpx <- rgamma(nx, shape = shp) - shp
smpy <- rgamma(ny, shape = shp)
m2 <- mean(c((smpx - mean(smpx))^2, (smpy - mean(smpy))^2))
uM2pool(m2, nx, ny)