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 ...
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.
Good in Fair to Good jacket. Hardcover Boards are faded, rubbed, and soiled. Dust Jacket is tanned, soiled, and chipped w/ light tearing. Endpapers are tanned and foxing. Interior is tanned but unmarked and clean.
This book is well organized and fairly easy to read for someone with some statistical background in probability and distibution theory. It serves as a good reference for the practicing survey statistician. Persons new to the field of survey sampling may find this book a challenging read on the first pass, but that is the case with all books on sampling as one must weed through a copious amount of notation to pick out the main ideas of each equation. Fortunately for the reader, the author does a thorough job of explaining the main ideas before jumping into the equations.
Dec 14, 2008
a classic text on the theory of finite population sampling and it is so readily referenced in the research literature on survey sampling that it deserves to be called a classic and should be added to Wiley's series of classic books in statistics. It also may be appropriate to call it the bible on survey sampling. But the reader should note that it is not the only good book on survey sampling. Leslie Kish's book which I also reviewed today and compared to Cochran's is a very applied text with many social science applications and may be more accessible to the non-matematically inclined reader. In reviewing Kish's book I make some comments comparing it to this book by Cochran.
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