Sampling Techniques [Paperback]

Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the approximate methods developed for the problem of attaching standard errors or confidence limits to nonlinear estimates made from the results of surveys with complex plans.Simple Random Sampling.

Sampling for Proportions and Percentages.

The Estimation of Sample Size.

Stratified Random Sampling.

Further Aspects of Stratified Sampling.

Ratio Estimators.

Regression Estimates.

Systematic Sampling.

Single-Stage Cluster Sampling: Clusters of Equal Sizes.

Single-Stage Cluster Sampling: Clusters of Unequal Sizes.

Subsampling with Units of Equal Size.

Subsampling with Units of Unequal Sizes.

Double Sampling.

Sources of Error in Surveys.

William G Cochran was a prominent statistician. He was born in Scotland but spent most of his life in the United States. Cochran studied mathematics at the University of Glasgow and the University of Cambridge. He worked at Rothamsted Experimental Station from 1934 to 1939, when he moved to the United States.