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This monograph provides, for the first time, a most 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.
Sampling consists of selection, acquisition, and quantification of
a part of the population. But often what is desirable is not
affordable, and what is affordable is not adequate. How do we deal
with this dilemma? Operationally, composite sampling recognizes the
distinction between selection, acquisition, and quantification. In
certain applications, it is a common experience that the costs of
selection and acquisition are not very high, but the cost of
quantification, or measurement, is substantially high. In such
situations, one may select a sample sufficiently large to satisfy
the requirement of representativeness and precision and then, by
combining several sampling units into composites, reduce the cost
of measurement to an affordable level. Thus composite sampling
offers an approach to deal with the classical dilemma of desirable
versus affordable sample sizes, when conventional statistical
methods fail to resolve the problem. Composite sampling, at least
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. In this monograph, we present statistical
solutions to these and other issues that arise in the context of
applications of composite sampling. Content Level Research
The International Summer School on Statistical Distributions in
Scientific Work was held in Trieste during July 1980 for a period
of three weeks. The emphasis was on research, review, and
exposition concerned with the interface between modem statistical
distribution theory and real world problems and issues involving
science, technology, and management. Both theory and applications
received full attention at the School. The program consisted of a
Short Intensive Preparation Course, a NATO Advanced Study
Institute, and a Research Conference. While the relative composi-
tion of these activities varied somewhat in terms of instruction,
exposition, research- review, research, and consultation, the basic
spirit of each was essentially the same. Every participant was both
a professor and a student. The summer school was sponsored by the
NATO Advanced Study Institutes Program; Consiglio Nazionale delle
Ricerche, Italy; Regione Autonoma Friuli Ven- ezia Giulia, Italy;
National Institutes of Health, USA; Office of Naval Research, USA;
The Pennsylvania State University; Universita di Roma; Universita
di Trieste; International Statistical Ecology Program;
International Transfer of Science and Technology, Belgium; and the
participants and their home institutions and organiza- tions.
Research papers, research-review expositions and instructional
lectures were spe- cially prepared for the program. These materials
have been refereed and revised, and are now available in a series
of several edited volumes and monographs.
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.
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Statistical Distributions in Scientific Work - Volume 4 - Models, Structures, and Characterizations, Proceedings of the NATO Advanced Study Institute held at the Universita degli Studi di Trieste, Trieste, Italy, July 10 - August 1, 1980 (Paperback, Softcover reprint of the original 1st ed. 1981)
Charles Taillie, Ganapati P. Patil, Bruno A. Baldessari
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R5,146
R4,506
Discovery Miles 45 060
Save R640 (12%)
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Out of stock
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The International Summer School on Statistical Distributions in
Scientific Work was held in Trieste during July 1980 for a period
of three weeks. The emphasis was on research, review, and
exposition concerned with the interface between modern statistical
distribution theory and real world problems and issues involving
science, technology, and management. Both theory and applications
received full attention at the School. The program consisted of a
Short Intensive Preparation Course, aNA TO Advanced Study
Institute, and a Research Conference. While the relative composi-
tion of these activities varied somewhat in terms of instruction,
exposition, research- review, research, and consultation, the basic
spirit of each was essentially the same. Every participant was both
a professor and a student. The summer school was sponsored by the
NATO Advanced Study Institutes Program; Consiglio Nazionale delle
Ricerche, Italy; Regione Autonoma Friuli Ven- of Health, USA;
Office of Naval Research, ezia Giulia, Italy; National Institutes
USA; The Pennsylvania State University; Universita di Roma~
Universita di Trieste; International Statistical Ecology Program;
International Transfer of Science and Technology, Belgium; and the
participants and their home institutions and organiza- tions.
Research papers, research-review expositions and instructional
lectures were spe- cially prepared for the program. These materials
have been refereed and revised, and are now available in a series
of several edited volumes and monographs.
The International Summer School on Statistical Distributions in
Scientific Work was held in Trieste during July 1980 for a period
of three weeks. The emphasis was on research, review, and
exposition concerned with the interface between modem statistical
distribution theory and real world problems and issues involving
science, technology, and management. Both theory and applications
received full attention at the School. The program consisted of a
Short Intensive Preparation Course, a NATO Advanced Study
Institute, and a Research Conference. While the relative composi-
tion of these activities varied somewhat in terms of instruction,
exposition, research- review, research, and consultation, the basic
spirit of each was essentially the same. Every participant was both
a professor and a student. The summer school was sponsored by the
NATO Advanced Study Institutes Program; Consiglio Nazionale delle
Ricerche, Italy; Regione Autonoma Friuli Ven- ezia Giulia, Italy;
National Institutes of Health, USA; Office of Naval Research, USA;
The Pennsylvania State University; Universita di Roma; Universita
di Trieste; International Statistical Ecology Program;
International Transfer of Science and Technology, Belgium; and the
participants and their home institutions and organiza- tions.
Research papers, research-review expositions and instructional
lectures were spe- cially prepared for the program. These materials
have been refereed and revised, and are now available in a series
of several edited volumes and monographs.
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