02604nam a22004095i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153072001600166072002300182072001500205100008400220245012100304250001800425264007500443300006600518336002600584337002600610338003600636347002400672505020000696520092600896650002601822650001801848650002601866650008801892710003401980773002602014776003602040776003602076776003602112856004602148978-3-031-64144-2DE-He21320251030112632.0cr nn 008mamaa240716s2024    sz |    s    |||| 0|eng d  a97830316414427 a10.1007/978-3-031-64144-22doi 4aQD71-142 7aPNF2bicssc 7aSCI0130102bisacsh 7aPNF2thema1 aOlivieri, Alejandro C.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aIntroduction to Multivariate Calibrationh[electronic resource] :bA Practical Approach /cby Alejandro C. Olivieri.  a2nd ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXX, 302 p. 185 illus., 178 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 a1. Chemometrics and Multivariate Calibration -- 2. The Classical Least-Squares Model -- 3. The Inverse Least-Squares Model -- 4. Principal Component Analysis -- 5. Principal Component Regression.  aThis second edition builds upon the success of its predecessor with expanded and updated content throughout most chapters, accompanied by the addition of a new chapter on Non-linearities in Multivariate Calibration. This latest chapter explores advanced topics including Radial Basis Functions (RBF) and Feed-forward Networks (FFN), providing practical insights and real-world applications within the context of multivariate calibration. Readers will find intuitive explanations of mathematical and statistical concepts, supported by a wealth of figures and diagrams, alongside discussions on recent advancements in the field such as figures of merit, detection limits, and method comparison. With its emphasis on real applications and comprehensive updates, the second edition remains an invaluable resource for students, researchers, and practitioners navigating the complexities of multivariate analytical calibration. 0aAnalytical chemistry. 0aStatistics .14aAnalytical Chemistry.24aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303164143508iPrinted edition:z978303164145908iPrinted edition:z978303164146640uhttps://doi.org/10.1007/978-3-031-64144-2