CapacityScaling: Integer-valued Optimal Univariate Allocation Under...

In stratallo: Optimum Sample Allocation in Stratified Sampling

Integer-valued Optimal Univariate Allocation Under Constraints for Stratified Sampling

Description

Better algorithm from paper Friedrich et al. (2015) for integer-valued optimal allocation in stratified sampling.

Usage

CapacityScaling(n, Ah, mh = rep(1, length(Ah)), Mh = rep(Inf, length(Ah)))

CapacityScaling2(
  v0,
  Nh,
  Sh,
  mh = rep(1, length(Nh)),
  Mh = rep(Inf, length(Nh))
)

Arguments

n	target sample size for allocation.
Ah	population strata sizes * standard deviations of a given variable in strata.
mh	lower constraints for sample sizes in strata.
Mh	upper constraints for sample sizes in strata.
v0	upper limit for value of variance which must be attained for computed optimal allocation.
Nh	population strata sizes.
Sh	standard deviations of a given variable in strata.

Value

A vector of optimal allocation sizes.

Functions

• CapacityScaling2():

References

Friedrich, U., Münnich, R., de Vries, S. and Wagner, M. (2015) Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling, Computational Statistics and Data Analysis, 92, pp. 1–12. https://www.sciencedirect.com/science/article/pii/S0167947315001413

stratallo documentation built on Nov. 27, 2023, 1:07 a.m.