LEADER 03122nam 22005535 450 001 9910863153403321 005 20250402103555.0 010 $a3-030-57935-2 024 7 $a10.1007/978-3-030-57935-7 035 $a(CKB)4100000011528485 035 $a(MiAaPQ)EBC6380913 035 $a(DE-He213)978-3-030-57935-7 035 $a(PPN)258860952 035 $a(EXLCZ)994100000011528485 100 $a20201027d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRegression Models for the Comparison of Measurement Methods /$fby Heleno Bolfarine, Mário de Castro, Manuel Galea 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 64 p. 16 illus., 14 illus. in color.) 225 1 $aSpringerBriefs in Statistics - ABE,$x2524-6925 311 08$a3-030-57934-4 320 $aIncludes bibliographical references and index. 327 $a- Introduction -- Two Methods -- Two or More Methods -- Model Checking and Influence Assessment -- Data Analysis -- Miscellaneous Results -- R Scripts -- Index. 330 $aThis book provides an updated account of the regression techniques employed in comparing analytical methods and to test the biases of one method relative to others ? a problem commonly found in fields like analytical chemistry, biology, engineering, and medicine. Methods comparison involves a non-standard regression problem; when a method is to be tested in a laboratory, it may be used on samples of suitable reference material, but frequently it is used with other methods on a range of suitable materials whose concentration levels are not known precisely. By presenting a sound statistical background not found in other books for the type of problem addressed, this book complements and extends topics discussed in the current literature. It highlights the applications of the presented techniques with the support of computer routines implemented using the R language, with examples worked out step-by-step. This book is a valuable resource for applied statisticians, practitioners, laboratoryscientists, geostatisticians, process engineers, geologists and graduate students. 410 0$aSpringerBriefs in Statistics - ABE,$x2524-6925 606 $aStatistics 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aStatistics. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 700 $aBolfarine$b Heleno$0460796 702 $aCastro$b Mario de 702 $aGalea$b Manuel 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910863153403321 996 $aRegression models for the comparison of measurement methods$92547808 997 $aUNINA