Description Usage Arguments Details Value Note Author(s) References See Also Examples
Calculates the variance of a sample estimate for a normal SD parameter.
1 2 | var.sigma(s,n)
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s |
A numeric value, the sample standard deviation estimate. |
n |
A numeric value, the sample size of data. |
For a sample dataset of size n drawn from a normal distributin N(μ,σ^2), denote the sample estimate on standard deviation (SD) parameter as s. Then the variance of the sample SD estimate s is Var(s)=0.5*s^2/(n-1).
A numeric value, the variance estimate of the sample estimate for a normal SD parameter.
Bug reports, malfunctioning, or suggestions for further improvements or contributions can be sent to Jingqin Luo <rosy@wubios.wustl.edu>.
Jingqin Luo
Patel, J.K. and Read, C.B. (1996) Handbook of the Normal Distribution. CRC Press.
Luo, J and Xiong, C. (2012) Youden Index and Associated Optimal Cut-point for Three Ordinal Groups. Communications In Statistics-Simulation and Computation (in press).
1 2 3 | s <- 1.5
n <- 100
var.sigma(s,n)
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