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Calculate unbiased estimates of central moments and their powers and products.
uM2(m2, n)
naive biased variance estimate \(m_2 = 1/n \sum_{i = 1}^n ((X_i - \bar{X})^2\) for a vector X.
X
sample size.
Unbiased variance estimate.
Other unbiased estimates (one-sample): uM2M3, uM2M4, uM2pow2, uM2pow3, uM3pow2, uM3, uM4, uM5, uM6
uM2M3
uM2M4
uM2pow2
uM2pow3
uM3pow2
uM3
uM4
uM5
uM6
# NOT RUN { n <- 10 smp <- rgamma(n, shape = 3) m <- mean(smp) m <- c(m, mean((smp - m[1])^2)) uM2(m[2], n) - var(smp) # }
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