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Regression models for the comparison...

Bolfarine, Heleno.

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Regression models for the comparison of measurement methods

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Regression models for the comparison of measurement methods/ by Heleno Bolfarine, Mario de Castro, Manuel Galea.
作者:	Bolfarine, Heleno.
其他作者:	Castro, Mario de.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 64 p. :ill., digital ;24 cm.
內容註:	- Introduction -- Two Methods -- Two or More Methods -- Model Checking and Influence Assessment -- Data Analysis -- Miscellaneous Results -- R Scripts -- Index.
Contained By:	Springer Nature eBook
標題:	Statistics. -
電子資源:	https://doi.org/10.1007/978-3-030-57935-7
ISBN:	9783030579357

Regression models for the comparison of measurement methods
Bolfarine, Heleno.

Regression models for the comparison of measurement methods[electronic resource] /by Heleno Bolfarine, Mario de Castro, Manuel Galea. - Cham :Springer International Publishing :2020. - x, 64 p. :ill., digital ;24 cm. - SpringerBriefs in statistics. - SpringerBriefs in statistics..

- 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, laboratory scientists, geostatisticians, process engineers, geologists and graduate students.

ISBN: 9783030579357

Standard No.: 10.1007/978-3-030-57935-7doiSubjects--Topical Terms:

517247
Statistics.

LC Class. No.: QA276 / .B65 2020

Dewey Class. No.: 519.5

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