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Sample survey techniques

Winter 2008

• Lecture 1, 2007-1-7 Overview
• Lecture 2, 2007-1-9Computing; Simple random sampling
• Lecture 3, 2008-1-11 Stratified sampling
• Lecture 4, 2008-1-14 Unequal probability sampling, Basu's paradox
• Lecture 5, 2008-1-16 Ratios, subpopulations,
• Lecture 6, 2008-1-18 Design, design effect quantiles
• Lecture 7, 2008-1-23 Graphics
• Lecture 8, 2008-1-25 Resampling
• Lecture 9, 2008-1-28 More resampling
• Lecture 10, 2008-1-30Cluster sampling
• Lecture 11, 2008-1-32Post-stratification
• Lecture 12, 2008-2-4 Raking
• Lecture 13, 2008-2-6 Linear Regression
• Lecture 14, 2008-2-8 More linear regression
• Lecture 15, 2008-2-11 Logistic regression
• Lecture 16, 2008-2-13 Sources of data
• Lecture 17, 2008-2-13 Review
• Lecture 18, 2008-2-22 Weights in regression
• Lecture 19, 2008-2-25 Regression estimation of totals; calibration
• Lecture 20, 2008-2-27 More on ratio estimators
• Lecture 21, 2008-2-29 Two phase samples
• Lecture 22, 2008-3-3 Calibration in two-phase samples