STAT 506 | Sampling Theory and Methods

Categories

Auxillary data

Bias

CLT

Capture-recapture sampling

Cluster sampling

Comparison of estimators

Confidence intervals

Density estimation

Double sampling

Estimation

Hansen-Hurwitz Estimator

Horvitz-Thompson Estimator

Inverse sampling

Line and point transects

Linear Regression Estimator

Minitab

Mutlti-stage designs

Narrow-strip

Non-response

Nonsampling error

Parametric methods

Poststratification

Proportions

Random response model

Ratio estimation

Ratio estimator

Ratio estimators

SRS

Sampling

Sampls size

Selection probabilities

Smooth-by-eye

Standard deviation

Statification

Stratification

Stratified sampling

Systematic sampling

Unbiased estimator

Variance

About this course

Welcome to the course notes for STAT 506: Sampling Theory and Methods. These notes are designed and developed by Penn State’s Department of Statistics and offered as open educational resources. These notes are free to use under Creative Commons license CC BY-NC 4.0.

This course is part of the Online Master of Applied Statistics program offered by Penn State’s World Campus.

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If you are a current student in this course, please see Canvas for your syllabus, assignments, lesson videos, and communication from your instructor.

Overview

This is the STAT 506 online course materials website. All of the examples and notes, i.e., lecture materials will be found on this website. You may want to make a bookmark for this site.

We hope that you enjoy the course.

Lessons

Estimating Population Mean and Total under SRS

Standard deviation

Confidence intervals

1/7/25

Confidence Intervals and Sample Size

Confidence intervals

1/7/25

Unequal Probability Sampling

Selection probabilities

Hansen-Hurwitz Estimator

Horvitz-Thompson Estimator

1/7/25

Auxiliary Data and Ratio Estimation

Ratio estimators

1/7/25

Auxillary Data and Regression Estimation

Linear Regression Estimator

Comparison of estimators

1/7/25

Part A: Stratified Sampling

Stratified sampling

Poststratification

1/7/25

Part 1 of Cluster and Systematic Sampling

Cluster sampling

Hansen-Hurwitz Estimator

1/7/25

Part 2 of Cluster and Systematic Sampling

Cluster sampling

Systematic sampling

1/7/25

Multi-Stage Designs

Mutlti-stage designs

Unbiased estimator

Ratio estimator

1/7/25

Double or Two-Phase Sampling

Double sampling

Ratio estimation

1/7/25

Applied Problems for Survey Sampling

Double sampling

Nonsampling error

1/7/25

Capture-Recapture Sampling, Random Response Model

Capture-recapture sampling

Inverse sampling

Random response model

1/7/25

Line and Point Transects

Line and point transects

Density estimation

Parametric methods

1/7/25