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Sampling Theory
STAT 6326
School of Natural Sciences and Mathematics
Introduction to sampling theory and methods. Statistical inference for the popular sampling designs. Simple random sampling; stratified, systematic, cluster, unequal probability, multistage, and spatial sampling designs. Statistical methods for a finite population. Use of auxiliary data. Optimal allocation. Capture-recapture methods. Detectability. Multiplicity. 3 credit hours.
Prerequisite: STAT 5351 or a course in basic statistics or instructor consent required.
Offering Frequency: Every two years
Click a checkbox to add something to compare.
Sampling Theory
STAT 6326
School of Natural Sciences and Mathematics
Introduction to sampling theory and methods. Statistical inference for the popular sampling designs. Simple random sampling; stratified, systematic, cluster, unequal probability, multistage, and spatial sampling designs. Statistical methods for a finite population. Use of auxiliary data. Optimal allocation. Capture-recapture methods. Detectability. Multiplicity. 3 credit hours.
Prerequisite: STAT 5351 or a course in basic statistics or instructor consent required.
Offering Frequency: Every two years
Click a checkbox to add something to compare.