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A Guide to Small Area Estimation Version 1.1 Key Clients: National Statistical Centres and Client Services May 2006 A Guide to Small Area Estimation Version 1.1 05/05/2006 The ABS intends to periodically.

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Overview. Small area estimation (SAE) is the process of using statistical models to link national or state survey outcome variables, such as disease indicators, to local area predictors, such as county demographic and socioeconomic variables, so that prevalence rates for small areas can be predicted.

The principle behind SAE is simple. If a sample survey cannot provide an adequately precise and reliable granular or disaggregated estimate, SAE combines the survey data with other types of auxiliary data (e.g., administrative data or census data) that have wider coverage to enhance the survey estimator.

Small-area techniques can empower local electrochemical tests by miniaturizing the electrochemical cell, which is realized by reducing the working electrode area or the contact area between the sample and the electrolyte droplet.

Small area estimation (SAE) is the process of using statistical models to link national or state survey outcome variables, such as disease indicators, to local area predictors, such as county demographic and socioeconomic variables, so that prevalence rates for small areas can be predicted.

Small area estimation is any of several statistical techniques involving the estimation of parameters for small sub-populations, generally used when the sub-population of interest is included in a larger survey. The term "small area" in this context generally refers to a small geographical area such as a county.

In small area estimation, a model is used to estimate the response in subpopulations with few or no sample observations. As an example, the US Current Population Survey (CPS) provides accurate statistics about income and poverty for the nation as a whole.

Small area estimation is important in survey analysis when domain (subpopulation) sample sizes are too small to provide adequate precision for direct domain estimators. Popular techniques for small area estimation use implicit or explicit statistical models to indirectly estimate the small area parameters of interest.

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© Copyright 1997-2025
airSlate Legal Forms, Inc.
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Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
Privacy Notice
Legal Hub
Content Takedown Policy
Bug Bounty Program
About Us
Blog
Affiliates
Contact Us
Delete My Account
Site Map
Industries
Forms in Spanish
Localized Forms
State-specific Forms
Forms Kit
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate WorkFlow
DocHub
Instapage
Social Media
Call us now toll free:
+1 833 426 79 33
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232