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＜電子ブック＞
Regression Models for the Comparison of Measurement Methods / by Heleno Bolfarine, Mário de Castro, Manuel Galea
(SpringerBriefs in Statistics - ABE. ISSN:25246925)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	X, 64 p. 16 illus., 14 illus. in color : online resource
著者標目	*Bolfarine, Heleno author de Castro, Mário author Galea, Manuel author SpringerLink (Online service)
件　名	LCSH:Statistics  FREE:Statistical Theory and Methods FREE:Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
一般注記	- Introduction -- Two Methods -- Two or More Methods -- Model Checking and Influence Assessment -- Data Analysis -- Miscellaneous Results -- R Scripts -- Index This book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others – a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine. Methods comparison involves a non-standard regression problem; when a method is to be tested in a laboratory, it may be used on samples of suitable reference material, but frequently it is used with other methods on a range of suitable materials whose concentration levels are not known precisely. By presenting a sound statistical background not found in other books for the type of problem addressed, this book complements and extends topics discussed in the current literature. It highlights the applications of the presented techniques with the support of computer routines implemented using the R language, with examples worked out step-by-step. This book is a valuable resource for applied statisticians, practitioners, laboratoryscientists, geostatisticians, process engineers, geologists and graduate students HTTP:URL=https://doi.org/10.1007/978-3-030-57935-7

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