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Neyman allocation

Neyman allocation, also known as optimum allocation, is a method of sample size allocation in stratified sampling developed by Jerzy Neyman in 1934. This technique determines the optimal sample size for each stratum to minimize the variance of the estimated population parameter for a fixed total sample size and cost.

Standards, Mathematical derivation & Theory

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Mathematical derivation

Sampling fractionLagrange multipliers
2 related topics

Theory

Standard deviation
1 related topics

Overview

Stratified samplingJerzy Neyman
2 related topics

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Mathematical derivation

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Neyman allocation

Nodes9
Edges8
Triples17
Avg. degree1.78
Density0.222222
Components1

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Neyman allocation

Top relations

related to Limitations · 5
Neyman allocation → Despite, It, Neyman, The, Very
related to Mathematical derivation · 5
Neyman allocation → Lagrange, Neyman, Nh, The, Using
related to Theory · 3
Neyman allocation → In, Neyman, The Neyman
has application · 2
Neyman allocation → Neyman, Official
related to Advantages · 2
Neyman allocation → It, Neyman

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Important terminology

neyman allocation sampling stratum sample stratified size variance population strata may method optimal total also nh mean standard jerzy 1934

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SubjectPredicateObjectConfidenceSrc
Neyman allocationhas applicationNeyman0.60section
Neyman allocationhas applicationOfficial0.60section
Neyman allocationrelated to AdvantagesNeyman0.60section
Neyman allocationrelated to AdvantagesIt0.60section
Neyman allocationrelated to LimitationsDespite0.60section
Neyman allocationrelated to LimitationsNeyman0.60section
Neyman allocationrelated to LimitationsIt0.60section
Neyman allocationrelated to LimitationsThe0.60section
Neyman allocationrelated to LimitationsVery0.60section
Neyman allocationrelated to Mathematical derivationThe0.60section
Neyman allocationrelated to Mathematical derivationNeyman0.60section
Neyman allocationrelated to Mathematical derivationNh0.60section

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