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CANCER 531 1 $aEur. j. cancer 606 $aCancer$vPeriodicals 606 $aTumors$vPeriodicals 606 $aCancer$xPeriodicals 606 $aNeoplasms 606 $aNeoplasms$vPeriodicals 606 $aNeoplasms$xperiodicals 606 $aCancer$xPériodiques 606 $aCancer$vPériodiques 606 $aTumeurs$vPériodiques 606 $aCancer$2fast$3(OCoLC)fst00845317 606 $aTumors$2fast$3(OCoLC)fst01158759 608 $aPeriodicals.$2fast 615 0$aCancer 615 0$aTumors 615 0$aCancer$xPeriodicals. 615 2$aNeoplasms 615 2$aNeoplasms 615 2$aNeoplasms$xperiodicals. 615 6$aCancer$xPériodiques. 615 6$aCancer 615 6$aTumeurs 615 7$aCancer. 615 7$aTumors. 676 $a616.994 712 02$aEuropean Organization for Research on Treatment of Cancer, 712 02$aEuropean School of Oncology, 712 02$aEuropean Association for Cancer Research, 712 02$aFederation of European Cancer Societies, 712 02$aEuropean Society of Mastology, 712 02$aEuropean CanCer Organisation, 906 $aJOURNAL 912 $a996204830203316 996 $aEuropean journal of cancer$9794859 997 $aUNISA LEADER 05085nam 2200625Ia 450 001 9910830136003321 005 20230105004256.0 010 $a1-280-83864-7 010 $a9786610838646 010 $a0-470-05778-5 010 $a0-470-05777-7 035 $a(CKB)1000000000357333 035 $a(EBL)291263 035 $a(OCoLC)476049464 035 $a(SSID)ssj0000104666 035 $a(PQKBManifestationID)11130419 035 $a(PQKBTitleCode)TC0000104666 035 $a(PQKBWorkID)10086729 035 $a(PQKB)10060743 035 $a(MiAaPQ)EBC291263 035 $a(EXLCZ)991000000000357333 100 $a20060914d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aApplied chemometrics for scientists$b[electronic resource] /$fRichard G. Brereton 210 $aChichester, England ;$aHoboken, NJ $cJohn Wiley & Sons$dc2007 215 $a1 online resource (397 p.) 300 $aDescription based upon print version of record. 311 $a0-470-01686-8 320 $aIncludes bibliographical references and index. 327 $aApplied Chemometrics for Scientists; Contents; Preface; 1 Introduction; 1.1 Development of Chemometrics; 1.1.1 Early Developments; 1.1.2 1980s and the Borderlines between Other Disciplines; 1.1.3 1990s and Problems of Intermediate Complexity; 1.1.4 Current Developments in Complex Problem Solving; 1.2 Application Areas; 1.3 How to Use this Book; 1.4 Literature and Other Sources of Information; References; 2 Experimental Design; 2.1 Why Design Experiments in Chemistry?; 2.2 Degrees of Freedom and Sources of Error; 2.3 Analysis of Variance and Interpretation of Errors 327 $a2.4 Matrices, Vectors and the Pseudoinverse2.5 Design Matrices; 2.6 Factorial Designs; 2.6.1 Extending the Number of Factors; 2.6.2 Extending the Number of Levels; 2.7 An Example of a Factorial Design; 2.8 Fractional Factorial Designs; 2.9 Plackett-Burman and Taguchi Designs; 2.10 The Application of a Plackett-Burman Design to the Screening of Factors Influencing a Chemical Reaction; 2.11 Central Composite Designs; 2.12 Mixture Designs; 2.12.1 Simplex Centroid Designs; 2.12.2 Simplex Lattice Designs; 2.12.3 Constrained Mixture Designs 327 $a2.13 A Four Component Mixture Design Used to Study Blending of Olive Oils2.14 Simplex Optimization; 2.15 Leverage and Confidence in Models; 2.16 Designs for Multivariate Calibration; References; 3 Statistical Concepts; 3.1 Statistics for Chemists; 3.2 Errors; 3.2.1 Sampling Errors; 3.2.2 Sample Preparation Errors; 3.2.3 Instrumental Noise; 3.2.4 Sources of Error; 3.3 Describing Data; 3.3.1 Descriptive Statistics; 3.3.2 Graphical Presentation; 3.3.3 Covariance and Correlation Coefficient; 3.4 The Normal Distribution; 3.4.1 Error Distributions; 3.4.2 Normal Distribution Functions and Tables 327 $a3.4.3 Applications3.5 Is a Distribution Normal?; 3.5.1 Cumulative Frequency; 3.5.2 Kolmogorov-Smirnov Test; 3.5.3 Consequences; 3.6 Hypothesis Tests; 3.7 Comparison of Means: the t-Test; 3.8 F-Test for Comparison of Variances; 3.9 Confidence in Linear Regression; 3.9.1 Linear Calibration; 3.9.2 Example; 3.9.3 Confidence of Prediction of Parameters; 3.10 More about Confidence; 3.10.1 Confidence in the Mean; 3.10.2 Confidence in the Standard Deviation; 3.11 Consequences of Outliers and How to Deal with Them; 3.12 Detection of Outliers; 3.12.1 Normal Distributions; 3.12.2 Linear Regression 327 $a3.12.3 Multivariate Calibration3.13 Shewhart Charts; 3.14 More about Control Charts; 3.14.1 Cusum Chart; 3.14.2 Range Chart; 3.14.3 Multivariate Statistical Process Control; References; 4 Sequential Methods; 4.1 Sequential Data; 4.2 Correlograms; 4.2.1 Auto-correlograms; 4.2.2 Cross-correlograms; 4.2.3 Multivariate Correlograms; 4.3 Linear Smoothing Functions and Filters; 4.4 Fourier Transforms; 4.5 Maximum Entropy and Bayesian Methods; 4.5.1 Bayes' Theorem; 4.5.2 Maximum Entropy; 4.5.3 Maximum Entropy and Modelling; 4.6 Fourier Filters; 4.7 Peakshapes in Chromatography and Spectroscopy 327 $a4.7.1 Principal Features 330 $aThe book introduces most of the basic tools of chemometrics including experimental design, signal analysis, statistical methods for analytical chemistry and multivariate methods. It then discusses a number of important applications including food chemistry, biological pattern recognition, reaction monitoring, optimisation of processes, medical applications. The book arises from a series of short articles that have been developed over four years on Chemweb (www.chemweb.com). 606 $aChemometrics 606 $aChemistry, Analytic 615 0$aChemometrics. 615 0$aChemistry, Analytic. 676 $a542.30151 676 $a543.015195 686 $a35.05$2bcl 700 $aBrereton$b Richard G$0283014 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830136003321 996 $aApplied chemometrics for scientists$94064930 997 $aUNINA