• Archana Receives the Donna B. Hamilton Award

    Archana Khurana has been selected to receive the Donna B. Hamilton Award for Excellence in Undergraduate Teaching in a General Education Course.  Awards are based solely on student nominations and are solicited from across campus.  From the many nominations received, the selection committee was very impressed by the student experience… Read More

  • Yanir Receives a Do Good Campus Fund Grant

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  • Maria Cameron Receives the 2024 MURI Award

    Congratulations to Maria Cameron for her MURI award. MURI are multidisciplinary university research initiative grants that are awarded by the department of defense. Cameron’s grant is sponsored by the office of naval research. Her team includes Balakumar Balachandran (ME) and Miao Yu (ME). This is a project on “disorder-influenced collective… Read More

  • A $27.2M Gift to the Math Department by the Brin Family

    The university announced today a big gift to the Math Department. The very generous gift of $27.2M was made by Michael & Eugenia Brin. The gift will endow the Brin Mathematics Research Center, establish an endowed chair, and launch a summer camp for high school students. The official university’s press… Read More
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Description

Simple random sampling. Sampling for proportions. Estimation of sample size. Sampling with varying probabilities. Sampling: stratified, systematic, cluster, double, sequential, incomplete. Also listed as SURV 440.

Prerequisites

1 course with a minimum grade of C- from (STAT401, STAT420)


Level of Rigor

Standard


Sample Textbooks

Sampling, by Thompson

Sampling: Design and Analysis, by S. L. Lohr


Applications



If you like this course, you might also consider the following courses



Additional Notes

Duplicate credit with Surv440

Students interested in grad school in STAT should consider this course

Topics

Basic concepts

Populations, samples, sampling frames.

Sampling design, statistics, bias.

Sampling and nonsampling errors.

(0.5 week)

Simple Random Sampling

Estimates of population mean, total, proportion and variance and their sampling properties.

Confidence limits, use of normal approximation.

Auxiliary information, ratio and regression estimators.

(4.5 weeks)

Stratified Samples

Definitions, weighting and estimators.

Optimal allocation, poststratification.

(2 weeks)

Unbiased Estimation for Cluster and Two-Stage Sampling

Single-stage, two-stage, and multi-stage cluster sampling.

Fixed and random clusters.

With-replacement and without-replacement sampling of PSU's.

Approximate variance estimators.

(4 weeks)

Advanced Topics

Variance estimation, categorical data analysis, regression in complex surveys.

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