Class notes
All files in PDF format

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• Lecture 1 (Introduction)
• Lecture 2 (Questionnaire design and related issues )
• Lecture 3 (Probability sampling, Simple Random Sample)

• Lecture 4 (Simple Random Sample: SRS)

• Lecture 5 (Sample size determination for SRS)

• Lecture 6 (Stratified random sampling)
• Lecture 7 (Stratified random sampling - Allocation)

• Lecture 8 (Intro to ratio estimation)

• Lecture 9 (Estimation in domain)

• Lecture 10 (Regression Estimation)
• Lecture 11 (Cluster Sampling I)
• Lecture 12 (Cluster Sampling II)

• Lecture 13 (Design a cluster sample & SYS)

• Lecture 14 (Unequal probability sampling – 1 stage sampling)

• Lecture 15 (2-stage sampling with replacement)

• Lecture 16 (nonresponse)

• Lecture 17 (complex survey and categorical data analysis)

• Lecture 18 (two-phase sampling and population size estimation (capture-recapture))

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