| Dewey Class |
519.5 |
| Title |
Regression Models for the Comparison of Measurement Methods ([EBook]) / by Heleno Bolfarine, Mário de Castro, Manuel Galea. |
| Author |
Bolfarine, Heleno |
| Added Personal Name |
de Castro, Mário |
| Galea, Manuel |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2020. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2020. |
| Physical Details |
X, 64 p. 16 illus., 14 illus. in color. : online resource. |
| Series |
SpringerBriefs in Statistics - ABE 2524-6917 |
| ISBN |
9783030579357 |
| Summary Note |
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.: |
| Contents note |
- Introduction -- Two Methods -- Two or More Methods -- Model Checking and Influence Assessment -- Data Analysis -- Miscellaneous Results -- R Scripts -- Index. |
| Mode of acces to digital resource |
Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format |
| System details note |
- Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-57935-7 |
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