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Item Details
Title: COMPOSITE SAMPLING
A NOVEL METHOD TO ACCOMPLISH OBSERVATIONAL ECONOMY IN ENVIRONMENTAL STUDIES
By: Ganapati P. Patil, Sharad D. Gore, Charles Taillie
Format: Hardback

List price: £109.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1441976272
ISBN 13: 9781441976277
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 28 December, 2010
Series: Environmental and Ecological Statistics 4
Pages: 275
Description: This monograph provides a comprehensive statistical account of composite sampling as an ingenious environmental sampling method to help accomplish observational economy in a variety of environmental and ecological studies.
Synopsis: Sampling consists of selection, acquisition, and quantification of a part of the population. While selection and acquisition apply to physical sampling units of the population, quantification pertains only to the variable of interest, which is a particular characteristic of the sampling units. A sampling procedure is expected to provide a sample that is representative with respect to some specified criteria. Composite sampling, under idealized conditions, incurs no loss of information for estimating the population means. But an important limitation to the method has been the loss of information on individual sample values, such as, the extremely large value. In many of the situations where individual sample values are of interest or concern, composite sampling methods can be suitably modified to retrieve the information on individual sample values that may be lost due to compositing. This book presents statistical solutions to issues that arise in the context of applications of composite sampling.
Illustrations: 38 Tables, black and white; XIII, 275 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
Some other items by this author:
A MODERN COURSE ON STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
A MODERN COURSE ON STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
A MODERN COURSE ON STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
A MODERN COURSE ON STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
A MODERN COURSE ON STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
COMPOSITE SAMPLING (PB)
ENVIRONMENTAL STATISTICS (HB)
LANDSCAPE PATTERN ANALYSIS FOR ASSESSING ECOSYSTEM CONDITION (HB)
LANDSCAPE PATTERN ANALYSIS FOR ASSESSING ECOSYSTEM CONDITION (PB)
MULTIVARIATE ENVIRONMENTAL STATISTICS (HB)
MULTIVARIATE METHODS OF REPRESENTING RELATIONS IN R FOR PRIORITIZATION PURPOSES (HB)
MULTIVARIATE METHODS OF REPRESENTING RELATIONS IN R FOR PRIORITIZATION PURPOSES (PB)
PATTERN-BASED COMPRESSION OF MULTI-BAND IMAGE DATA FOR LANDSCAPE ANALYSIS (HB)
PATTERN-BASED COMPRESSION OF MULTI-BAND IMAGE DATA FOR LANDSCAPE ANALYSIS (PB)
RANKING AND PRIORITIZATION FOR MULTI-INDICATOR SYSTEMS (HB)
RANKING AND PRIORITIZATION FOR MULTI-INDICATOR SYSTEMS (PB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (HB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK (PB)
STATISTICAL DISTRIBUTIONS IN SCIENTIFIC WORK MODELS AND STRUCTURES (HB)
STATISTICAL ECOLOGY (HB)
STATISTICAL GEOINFORMATICS FOR HUMAN ENVIRONMENT INTERFACE
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