Endogenous post-stratification in surveys: Classifying with a sample-fitted model

Endogenous Post-Stratification in Surveys: Classifying with a Sample-Fitted Model

Post-stratification is frequently used to improve the precision of survey estimators when categorical auxiliary information is available from sources outside the survey. In natural resource surveys, such information is often obtained from remote sensing data, classified into categories. These stratification categories may be constructed based on models fitted to the sample data (“endogenous pos...

Sample Surveys

A census is a complete enumeration of the population: data are collected from every unit in the population. In a survey, a subset of the population, called a sample, is taken. Census are taken at regular but infrequent intervals, e.g. every 5 or 10 years. In between, surveys are used to update results. The selection and estimation procedures of official surveys are almost always based on previo...

Sample Surveys

1. What is a Survey? 2. Probability sampling 3. Common probability sampling designs 3.1. Simple Random Sampling 3.2. Stratified Sampling 3.3. Cluster Sampling 3.4. Unequal Probability Sampling 3.5. Systematic Sampling 3.6. Stratified Multistage Sampling 4. Survey estimates and standard errors 5. Nonsampling errors 6. Sampling rare populations 7. Issues in Survey Design Acknowledgments Glossary ...

“Equivalent Linear Composition” as an Efficient Stratification Factor in Multipurpose Surveys

Horticulture survey is a multi-purpose survey which is conducted ad hoc by Statistical Center of Iran (SCI). Availability of survey variables in the sampling frame suggests a multivariate stratification in each province based on its desired variables for acquiring a higher efficiency. There are several ways to stratify the sampling frame considering all stratification variables, such as using s...

Errors in Sample Surveys