Sampling Theory
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Sampling Theory and Methods
"The book presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes several estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is also covered in detail. Some recent developments which include estimation of distribution functions, adaptive sampling schemes etc. are also presented."--BOOK JACKET.
Survey Sampling Theory and Applications
Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises
Sampling Theory for Forest Inventory
Author: Pieter G.de Vries
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Forest inventory may be defined as the technique of collecting, evaluating and presenting specified information on forest areas. Because of the generally la~ge extent of forest areas, data are usually collected by sampling, i.e. by making observations on only part of the area of interest. As there are many different sampling methods (e.g. Appendix 1), a choice must first be made as to which method suits the given field and financial circumstances best. On completion of the sampling procedure, the numerous data collected have next to be condensed to manageable representative quantities. Finally, from these quantities, inferences about the situation in the entire forest area are made, preferably accompanied by an indication of their reliability. This book is intended for students who want to know the whepefope of the sampling techniques used in forest inventory. The danger of lack of knowledge is a blind following of instructions and copying statistical formulae, or, even worse, feeding data into a computer loaded with a program that is said to print out the required information. In serious persons, such approaches may leave a feeling of dissatisfaction or even of professional incompetence, be cause of inability to direct or evaluate the procedure critically. If a student tries to improve his or her situation, he/she will find that the few existing forest inventory textbooks, though some with merit, either use confusing statistical symbols or do not adequately cover theoretical principles.