SamplingP. R. Krishnaiah, Calyampudi Radhakrishna Rao Hardbound. This volume is devoted to Sample Surveys, which is the most widely used method in statistical practice. It covers many theoretical and practical aspects of social and biological investigations, and is a valuable guide for those involved in designing sample surveys. |
Contents
Neyman | 7 |
A First Course in Survey Sampling | 15 |
Getting observational access to the population | 21 |
Copyright | |
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Common terms and phrases
admissible Amer analysis application approach approximately assumed assumption asymptotic normality Bayes Bayesian bias Biometrika C. R. Rao cluster sampling coefficient composite sample confidence interval considered correlation denote discussed efficiency example finite population sampling function given Godambe households inclusion probabilities independent inference jackknife Joshi linear mean square error measurement method N₁ n₂ observations obtained optimal P₁ panel parameters population mean prior distribution probability sampling problem procedure random variables ratio estimator regression sample mean sample surveys sampling design sampling scheme sampling theory sampling units sampling variance sampling without replacement Sankhyā Section selected simple random sampling SRSFC SRSWOR Stat strata strategies stratified sampling stratum subsamples superpopulation survey sampling systematic sampling technique Theorem tion unbiased estimator unequal probability values variance estimator variation vector weighted X₁ Y₁ Σ Σ σ²