ss.ee: Sample size for controling the estimation error controling...

In eliardocosta/ssdet: Sample size determination in frequentist and Bayesian approaches

Description

Sample size for controling the estimation error controling the maximum absolute error, the maximum relative error or both

Usage

ss.ee(dist, rho, a, b, ea = NULL, er = NULL, w = NULL, phi = NULL,
  n0 = 2, lag = 1)

Arguments

dist	A characther string specifying the probability distribution. Distributions: "binomial", "negative binomial" and "poisson".
rho	A number in (0, 1). The probability 1-rho represents the minimum confidence level.
a	A positive real number representing the lower bound of the interval (a, b).
b	A positive real number representing the upper bound of the interval (a, b).
ea	A positive real number representing the maximum admissible absolute estimation error.
er	A positive real number representing the maximum admissible relative estimation error.
w	A positive real number representing the aliquot volume (only available for negative binomial distribution). Default is NULL.
phi	A positive real number representing the shape parameter for negative binomial distribution. Default is NULL.
n0	A positive integer representing the initial sample size in which the function will check the criterion. Default is 2.
lag	A positive integer representing the increment which 'n' receives until reach the criterion. Default is 1.

Value

An integer representing the sample size.

References

Costa, E. G., Lopes, R. M. & Singer, J. M. (2016). Sample size for estimating the mean concentration of organisms in ballast water. Journal of Environmental Management 180, 433–438.

Chen, X. (2011). Exact computation of minimum sample size for estimation of binomial parameters. Journal of Statistical Planning and Inference 141, 2622–2632.

Chen, Z. & Chen, X. (2016). Exact calculation of minimum sample size for estimating a Poisson parameter. Communications in Statistics-Theory and Methods 45, 4692–4715

eliardocosta/ssdet documentation built on Dec. 14, 2021, 6:27 a.m.