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Titlebook: Composite Sampling; A Novel Method to Ac Ganapati P. Patil,Sharad D. Gore,Charles Taillie Book 2011 Springer Science+Business Media, LLC 20

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書目名稱Composite Sampling
副標題A Novel Method to Ac
編輯Ganapati P. Patil,Sharad D. Gore,Charles Taillie
視頻videohttp://file.papertrans.cn/232/231829/231829.mp4
概述Presents statistical solutions to issues that arise in the context of applications of composite sampling Gives emphasis to the most recent results that are not covered in review papers and other monog
叢書名稱Environmental and Ecological Statistics
圖書封面Titlebook: Composite Sampling; A Novel Method to Ac Ganapati P. Patil,Sharad D. Gore,Charles Taillie Book 2011 Springer Science+Business Media, LLC 20
描述.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..
出版日期Book 2011
關鍵詞ecotoxicology
版次1
doihttps://doi.org/10.1007/978-1-4419-7628-4
isbn_softcover978-1-4614-2789-6
isbn_ebook978-1-4419-7628-4Series ISSN 2363-9660 Series E-ISSN 2363-9679
issn_series 2363-9660
copyrightSpringer Science+Business Media, LLC 2011
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Analysieren von Mehrfachantworten,ing unit as positive/negative or estimate the prevalence of the trait. The former is desired when the interest is in identifying all sampling units that test positive (and hence possess the trait). The latter is useful when the interest is not in the status of individual sampling units that possess
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Mittelwertvergleiche und t-Tests,rlier (see Chapter 1), sampling units may be selected from a finite population or from a bulk population. In the former case, the sampling units are defined and exist before sampling while in the latter case, the sampling units are created by the sampling process.
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