Fundamentals of survey sampling; A taxonomy of survey units and concepts; Statistical inference in surveys; Mechanical selection, randomization, and frames; Basic concepts of sampling; Stratified sampling; Sistematic sampling - stratification techniques; Cluster sampling and subsampling; Unequal cluster; Selection with probabilities proportional to size measures (PPS); The economic design of surveys; Special problems and techniques; Area sampling; Multistage sampling; Sampling from imperfect frames; Some selection techniques; Related concepts; Biases and nonsampling errors; Some issues of inference from survey data; Summary of symbols and terms; Unit analysis of statistical formulas; Table of Random numbers.
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Basic Concepts of Sampling
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actual addresses appear applied approximately assume average becomes bias biases blocks calls clusters combined common complete computed consider constant contain cost denotes depends desired distribution dwellings effect elements entire epsem equal error estimate example expected factor field fixed formulas frame Hence important increase interval interviews less mean measures methods nonresponse Note observations obtained pairs percent persons population portion possible practical precision prefer present primary probability problems procedures proportion proportionate rates ratio reasonable reduce relative replacement represent require response sample mean sampling fraction sampling units segments selection separate similar simple random sample single situations sizes sources specific square stage standard error statistics strata stratified stratum subclasses subsample Suppose survey TABLE units values variable variance variation weights yield