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001			285185
003			MX-SnUAN
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007			cr nn 008mamaa
008			150903s2011 xxu| o |||| 0|eng d
020			_a9781441976284 _99781441976284
024	7		_a10.1007/9781441976284 _2doi
035			_avtls000339012
039		9	_a201509030835 _bVLOAD _c201404300353 _dVLOAD _y201402060925 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aQA276-280
100	1		_aPatil, Ganapati P. _eautor _9300936
245	1	0	_aComposite Sampling : _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 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aEnvironmental and Ecological Statistics ; _v4
500			_aSpringer eBooks
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.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGore, Sharad D. _eautor _9313280
700	1		_aTaillie, Charles. _eautor _9313281
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781441976277
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-7628-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c285185 _d285185