000			04107nam a22005535i 4500
001			978-1-4419-7628-4
003			DE-He213
005			20140220083724.0
007			cr nn 008mamaa
008			101223s2011 xxu| s |||| 0|eng d
020			_a9781441976284 _9978-1-4419-7628-4
024	7		_a10.1007/978-1-4419-7628-4 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMBNS _2bicssc
072		7	_aMED090000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aPatil, Ganapati P. _eauthor.
245	1	0	_aComposite Sampling _h[electronic resource] : _bA Novel Method to Accomplish Observational Economy in Environmental Studies / _cby Ganapati P. Patil, Sharad D. Gore, Charles Taillie.
264		1	_aBoston, MA : _bSpringer US, _c2011.
300			_aXIII, 275 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aEnvironmental and Ecological Statistics ; _v4
505	0		_aIntroduction -- Classification -- Extreme Values -- Estimating Prevalence -- Bayesian Approach -- Inference on Mean and Variance -- Random Weights -- A Linear Model -- Site Characterization and Cleanup -- Spatial Structures -- Sampling of Soils and Sediments -- Sampling of Liquids and Fluids -- Indoor Air Pollution -- Bioaccumulation -- References.
520			_aThis 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.
650		0	_aStatistics.
650		0	_aGeography.
650		0	_aMathematical statistics.
650		0	_aEnvironmental management.
650		0	_aEnvironmental toxicology.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Life Sciences, Medicine, Health Sciences.
650	2	4	_aEnvironmental Management.
650	2	4	_aEcotoxicology.
650	2	4	_aStatistics and Computing/Statistics Programs.
650	2	4	_aEarth Sciences, general.
700	1		_aGore, Sharad D. _eauthor.
700	1		_aTaillie, Charles. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441976277
830		0	_aEnvironmental and Ecological Statistics ; _v4
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4419-7628-4
912			_aZDB-2-EES
999			_c105818 _d105818