000			06964nam a2200361 i 4500
008			080702s2009 fluaf b 001 0 eng
010			_a2008029542
015			_aGBA8E0053 _2bnb
020			_a9781420067965 _qalk. paper
020			_a1420067966 _qalk. paper
035			_a(OCoLC)156818666
040			_aDLC _cDLC _dBTCTA _dBAKER _dYDXCP _dC#P _dUKM _dBWX _dCDX
049			_aBAUN_MERKEZ
050	0	4	_aQD75.4.C45 _bH56 2009
082	0	0	_222
100	1		_aHanrahan, Grady
245	1	0	_aEnvironmental chemometrics : _bprinciples and modern applications / _cGrady Hanrahan
264		1	_aBoca Raton : _bCRC Press, _c[2009]
264		4	_c©2009
300			_axvii, 292 pages, [4] pages of plates : _billustrations (some color) ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	1		_aAnalytical chemistry
504			_aIncludes bibliographical references and index
505	0	0	_tTABLE OF CONTENTS _tPreface _tDedication _tAcknowledgements _tAuthor Biography _t1. Introduction _t1.1. Chemometrics ¿ An Overview _t1.2. The Importance of Quantitative Environmental Analysis _t1.3. Common Chemical and Biological Pollutants in Environmental Matrices _t1.3.1. Air _t1.3.2. Water _t1.3.3. Soil and Sediments _t1.4. Overview of Chemometric Methods used in Environmental Analysis _t1.5. Chapter Summary _t1.6. Key Terms _t1.7. End of Chapter Problems _t1.8. References _t2. Review of Statistics and Analytical Figures of Merit _t2.1. Error and Sampling Considerations _t2.2. Descriptive Statistics _t2.3. Distribution of Repeated Measurements _t2.4. Data Quality Indicators (DQIs) _t2.4.1. Primary DQIs _t2.4.2. Secondary DQIs _t2.5. Confidence Intervals _t2.6. Statistical Tests _t2.7. Outlying Results _t2.8. Analysis of Variance _t2.9. Regression and Calibration Methods _t2.10. Sensitivity and Limit of Detection _t2.11. Bayesian Statistics Considered _t2.12. Expanded Research Application I-Statistical Merits of Calculating Transfer _t Coefficients between Environmental Media _t2.13. Introduction to Excel _t2.14. Chapter Summary _t2.15. Key Terms _t2.16. End of Chapter Problems _t2.17. References _t3. Quality Assurance in Environmental Analysis _t3.1. The Role of Chemometrics in Quality Assurance _t3.2. Quality Assurance Considerations _t3.2.1. Project Planning and Preparation _t3.2.2. Traceability _t3.2.3. Sample Handling and Chain of Custody _t3.2.4. Accreditation _t3.2.5. Good Laboratory Practice _t3.3. Environmental Sampling Protocol - General Considerations _t3.4. Quality Assurance: Sample Collection, Preparation and Storage _t3.4.1. Sampling Design _t3.4.2. Sample Collection, Preservation and Storage _t3.5. Field QA/QC Samples _t3.6. Laboratory and Instrumental Methods: QA/QC Samples _t3.7. Standard Addition and Internal Standard Methods _t3.8. Certified Reference Materials _t3.9. Statistical Quality Control Charts _t3.10. Proficiency Testing _t3.11. Data Archiving, Storage and Auditing _t3.12. Multivariate Quality Assurance/Control ¿ Initial Considerations _t3.13. Expanded Research Application II ¿ Monte Carlo Simulation for Estimating _t Uncertainly Intervals for the Determination of Nitrate in Drinking Water _t3.14. Chapter Summary _t3.15. Key Terms _t3.16. End of Chapter Problems _t3.17. References _t4. Experimental Design and Optimization Techniques _t4.1. System Theory _t4.2. Review of Linear Regression Models and Matrix Notation _t4.3. Experimental Design Considerations _t4.3.1. Experimental Uncertainty and Replication _t4.3.2. Sample Size and Power _t4.3.3. Blocking and Randomization _t4.3.4. Orthogonality _t4.3.5. Confounding _t4.3.6. Center Points _t4.4. Single Factor Categorical Designs _t4.4.1. Randomized Block Designs _t4.4.2. Latin Square Design _t4.4.3. Greco Latin Square Design _t4.5. Screening Designs _t4.5.1. Full Factorial Designs (Two Levels per Factor) _t4.5.2. Fractional Factorial Designs (Two Levels per Factor) _t4.5.3. Plackett-Burman and Taguchi Designs _t4.6. Three-Level Designs: Response Surface Designs _t4.6.1. Central Composite Designs _t4.6.2. Box-Behnken Design _t4.7. Doehlert Matrix Design _t4.8. Mixture Designs _t4.8.1. Simplex Centroid Designs _t4.8.2. Simplex Lattice Designs _t4.8.3. Split-Plot Mixture Designs _t4.8.4. Simplex Optimization _t4.9. Expanded Research Application III ¿ Optimized Separation of Benzo [a] pyrene- _t Quinone Isomers Using Liquid Chromatography-Mass Spectrometry (LC-MS) and _t Response Surface Methodology _t4.10. Chapter Summary _t4.11. Key Terms _t4.12. End of Chapter Problems _t4.13. References _t5. Time Series Analysis _t5.1. Introduction to Time Series Analysis _t5.2. Smoothing and Digital Filtering _t5.2.1. Moving Average Smoothing _t5.2.2. Exponential Smoothing _t5.3. Time Series and Forecast Modeling ¿ A Detailed Look _t5.3.1. Model Choice and Diagnostics _t5.3.2. Harmonic Analysis Techniques _t5.4. Autoregressive Integrated Moving Average Models _t5.4.1. Non-Seasonal ARIMA Models _t5.4.2. Seasonal ARIMA Models _t5.5. Outliers in Time Series Analysis _t5.6. Export Coefficient Modeling _t5.7. Expanded Research Application IV- Export Coefficient Modeling and Time Series _t Analysis of Phosphorus in a Chalk Stream Watershed _t5.8. Chapter Summary _t5.9. Key Terms _t5.10. End of Chapter Problems _t5.11. References _t6. Multivariate Data Analysis _t6.1. Introduction to Multivariate Data Analysis _t6.2. Data Pre-Processing _t6.3. Correlation Analysis _t6.3.1. Correlation Matrix _t6.3.2. Inverse Correlations, Partial Correlations and Covariance Matrix _t6.3.3. Pairwise Correlations _t6.3.4. Fit Functions _t6.3.5. Scatterplot Matrix _t6.3.6. Color Maps and 3D Ellipsoid Plots _t6.3.7. Nonparametric Correlations _t6.4. Pattern Recognition ¿ Unsupervised _t6.4.1. Cluster Analysis _t6.4.2. Factor Analytic Techniques _t6.5. Pattern Recognition ¿ Supervised _t6.5.1. Discriminant Analysis _t6.6. K ¿ Nearest Neighbor Classification _t6.7. Soft Independent Modeling of Class Analogy (SIMCA) _t6.8. Multivariate Calibration Methods _t6.8.1. Multivariate Linear Regression _t6.8.2. Partial Least Squares _t6.8.3. Principal Component Regression _t6.9. Multivariate T2 Control Charts _t6.10. Cusum Control Charts _t6.11. Soft Computing Techniques _t6.11.1. Artificial Neural Networks _t6.11.2. Fuzzy Logic _t6.12. Expanded Research Application V ¿ A Multivariate Study of the Relations between _t PM10 Composition and Cell Toxicity _t6.13. Chapter Summary _t6.14. Key Terms _t6.15. End of Chapter Problems _t6.16. References _tAppendix I. Common Excel Shortcuts and Key Combinations _tAppendix II. Symbols used in Escuder¿Gilabert and others (2007) _tAppendix III. Review of Basic Matrix Algebra Notation and Operations _tAppendix IV. Environmental Chain of Custody Example
650		0	_aChemometrics
650		0	_aEnvironmental chemistry
830		0	_9110076 _aAnalytical chemistry series (CRC Press)
900			_a35362
900			_bsatın
942			_2lcc _cKT
999			_c32596 _d32596