powered by
Calculate unbiased estimates of central moments and their powers and products.
uM4(m2, m4, n)
naive biased variance estimate \(m_2 = 1/n \sum_{i = 1}^n ((X_i - \bar{X})^2\) for a vector X.
X
naive biased fourth central moment estimate \(m_4 = 1/n \sum_{i = 1}^n ((X_i - \bar{X})^4\) for a vector X.
sample size.
Unbiased estimate of a fourth central moment.
Other unbiased estimates (one-sample): uM2M3, uM2M4, uM2pow2, uM2pow3, uM2, uM3pow2, uM3, uM5, uM6
uM2M3
uM2M4
uM2pow2
uM2pow3
uM2
uM3pow2
uM3
uM5
uM6
# NOT RUN { n <- 10 smp <- rgamma(n, shape = 3) m <- mean(smp) for (j in 2:4) { m <- c(m, mean((smp - m[1])^j)) } uM4(m[2], m[4], n) # }
Run the code above in your browser using DataLab