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A Simple Method of Exact Optimal Sample Allocation under Stratifica...


A Simple Method of Exact Optimal Sample Allocation under Stratifica...

The exact optimal allocation avoids the need to round to integer values, as is the case with Neyman allocation. Neyman allocation with rounded integers does not ...

A Simple Method of Exact Optimal Sample Allocation ... - Census.gov

KEY WORDS: Exact optimal allocation; Mixed constraint patterns; Neyman allocation; Stratification. 1. INTRODUCTION. In perhaps the most ...

[PDF] A Simple Method of Exact Optimal Sample Allocation under ...

A Simple Method of Exact Optimal Sample Allocation under Stratification with Any Mixed Constraint Patterns · Tables · 6 Citations · 7 References · Related Papers ...

Using Optimall

Calculate the optimum number of samples to allocate to each stratum in a given study in order to minimize the variance of the target sample mean ...

optimall: Allocate Samples Among Strata

A Simple Method of Exact Optimal Sample Allocation under Stratification with any Mixed Constraint Patterns, Research Report Series ...

Stratified Sampling Allocation - Cross Validated - Stack Exchange

Because you have no evident need to make the proportions in the sample similar to those in the population, this is an optimal allocation ...

Optimal Stratification of Survey Experiments

This result shows that under coarsely stratified sampling and assignment, the simple ... This section provides new methods for asymptotically exact inference on ...

optimal allocation in stratified sampling - with partial information

The classical allocation formula of Neyman is replaced by a new formula which can accomodate prior information on the ratio of means in two strata. To ...

Practical strategies for operationalizing optimal allocation in ...

Cluster-based outcome-dependent sampling (ODS) has the potential to yield efficiency gains when the outcome of interest is relatively rare, and ...

New Stratification and Allocation Procedures for Stratified Simple ...

We had good experience with the use of the systematic PPS method of sampling. (including a lower positive limit of the sampling probabilities) in the Israel CBS ...

Optimum Allocation - an overview | ScienceDirect Topics

The optimum allocation for both sampling schemes also remains the same. However, there is a slight gain in the relative efficiency due to the use of ranked set ...

Optimum Allocation of Sample to Strata and Stages with Simple ...

It is shown how the theory for optimum allocation can be generalized to account for such constraints. A simple way of assessing the effect that each constraint ...

Optimal Allocation of Sample Sizes to Multicenter Clinical Trials - PMC

... optimal sample size allocation in designing multicenter clinical trials. The method we studied was adopted from a stratified sampling survey design. The ...

Chapter 8 Stratified Sampling | STAT392

With a good choice of stratification, the design effect of stratified SRS under Neyman or optimal allocation is often considerably less than 1. 8.9 Calculating ...

Recursive Neyman Algorithm for Optimum Sample Allocation under ...

Abstract:The optimum sample allocation in stratified sampling is one of the basic issues of survey methodology. It is a procedure of ...

Exact optimal sample allocation: More efficient than Neyman

Neyman allocation (1) rarely yields integer solutions; (2) does not guarantee minimum sampling variance after rounding; and (3) can result in a stratum ...

Stratified Random Sample - an overview | ScienceDirect Topics

In stratified random sampling, there are two issues: allocation of sample size to each stratum and the construction of strata boundaries which could as much as ...

Optima and Proxima in Linear Sample Designs

Further, we also present Section 5, a compact, simple and general formulation of optimal allocations for diverse sampling methods. Instead of solving each ...

Joint determination of optimal stratification and sample allocation ...

... optimal. The genetic algorithm. A genetic algorithm ( ). GA is a search technique used in computing to find exact or approximate solutions to optimization and ...

What is the optimal sampling split for stratified sampling?

It is a relatively simple computational problem to minimise the half-length function over all integer values nX and nY satisfying the constraint ...