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Regression Models for the Comparison of Measurement Methods

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Regression Models for the Comparison of Measurement Methods/ by Heleno Bolfarine, Mário de Castro, Manuel Galea.
作者:	Bolfarine, Heleno.
其他作者:	Galea, Manuel.
面頁冊數:	X, 64 p. 16 illus., 14 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. -
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, Mário de Castro, Manuel Galea. - 1st ed. 2020. - X, 64 p. 16 illus., 14 illus. in color.online resource. - SpringerBriefs in Statistics - ABE,2524-6917. - SpringerBriefs in Statistics - ABE,.

- 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:

782247
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Regression Models for the Comparison of Measurement Methods
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