l_norm {minsample2}

Prints the minimum size of the sample required to get epsilon neighborhood for given value of epsilon for Normal Distribution

Description

This package helps determining the minimum sample size required to attain some pre-fixed precision level

Usage

l_norm(n, eps, mu = 0, sigma = 1)

Arguments

n

a vector of proposed sample size

eps

a vector of the precision level

mu

the location parameter for the underlying distribution, here normal distribution(mean)

sigma

the scale parameter for the underlying distribution, here normal distribution(standard deviation)

Details

in any distribution for a large sample the mean-squared error gradually tends to zero, the minimum number depends on the precision level i.e. the pre-fixed eplison

Value

report: the data frame containing the minimum value of the sample size corresponding to the pre-fixed epsilon

References

Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).

Examples

l_norm(1:5,0.5,3,1)