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Introduction
Chemometrics—An Overview The Importance of Quantitative Environmental Analysis
Common Chemical and Biological Pollutants in Environmental Matrices
Overview of Chemometric Methods Used in Environmental Analysis
Chapter Summary
End of Chapter Problems
References
Review of Statistics and Analytical Figures of Merit
Error and Sampling Considerations
Descriptive Statistics
Distribution of Repeated Measurements
Data Quality Indicators
Confidence Intervals
Statistical Tests
Outlying Results 1
Analysis of Variance
Regression and Calibration Methods
Sensitivity and Limit of Detection
Bayesian Statistics Considered
Expanded Research Application I—Statistical Merits of Calculating Transfer Coeffi cients Among Environmental Media
References
Quality Assurance in Environmental Analysis
The Role of Chemometrics in Quality Assurance
Quality Assurance Considerations
Environmental Sampling Protocol—General Considerations
Quality Assurance: Sample Collection, Preparation and Storage
Field QA/QC Samples
Laboratory and Instrumental Methods: QA/QC Samples
Standard Addition and Internal Standard Methods
Certified Reference Materials
Statistical Quality Control Charts
Proficiency Testing
Data Archiving, Storage, and Auditing
Multivariate Quality Assurance/Control—Initial Considerations
Expanded Research Application II—Monte Carlo Simulation for Estimating Uncertainty Intervals for the Determination of Nitrate in Drinking Water
Chapter Summary
End of Chapter Problems
References
Experimental Design and Optimization Techniques
System Theory
Review of Linear Regression Models and Matrix Notation
Experimental Design Considerations
Single Factor Categorical Designs
Screening Designs
Three-Level Designs: Response Surface Methodology
Doehlert Matrix Design
Mixture Designs
Expanded Research Application III—Optimized Separation of Benzo[a]Pyrene-Quinone Isomers Using Liquid Chromatography-Mass Spectrometry (LC-MS) and Response Surface Methodology
Chapter Summary
End of Chapter Problems
References
Time Series Analysis
Introduction to Time Series Analysis
Smoothing and Digital Filtering
Times Series and Forecast Modeling—A Detailed Look
ARIMA models
Outliers in Time Series Analysis
Export Coeffi cient Modeling
Expanded Research Application IV—Export Coefficient Modeling and Time Series Analysis of Phosphorus in a Chalk Stream Watershed
Chapter Summary
End of Chapter Problems
References 02
Multivariate Data Analysis
Introduction to Multivariate Data Analysis
Data Preprocessing
Correlation Analysis
Pattern Recognition—Unsupervised
Pattern Recognition—Supervised
K-Nearest Neighbor Classification
Soft Independent Modeling of Class Analogy (SIMCA)
Multivariate Calibration Methods
Multivariate T 2 Control Charts
Cusum Control Charts
Soft Computing Techniques
Expanded Research Application—A Multivariate Study of the Relations Between PM10 Composition and Cell Toxicity
Chapter Summary
End of Chapter Problems
References
Appendix I: Common Excel® Shortcuts and Key Combinations
Appendix II: Symbols Used in Escuder-Gilabert et al. (2007)
Appendix III: Review of Basic Matrix Algebra Notation and Operations
Appendix IV: Environmental Chain of Custody
Index
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Jodi Sauter
reviewed Environmental Chemometrics: Principles and Modern Applications on February 01, 2010
Environmental Chemometrics
This is a very thorough description of how we are made of stardust. I thought the book was very good, but some parts seemed to be almost textbook like. The very last chapter, called the "appendix" was my favorite part of the book, focused on speculative theories of the universe, less a textbook and more cosmology. Still a very interesting book.
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Add Environmental Chemometrics: Principles and Modern Applications, Multivariate, heterogeneous data has been traditionally analyzed using the one at a time variable approach, often missing the main objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful too, Environmental Chemometrics: Principles and Modern Applications to the inventory that you are selling on WonderClubX
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Add Environmental Chemometrics: Principles and Modern Applications, Multivariate, heterogeneous data has been traditionally analyzed using the one at a time variable approach, often missing the main objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful too, Environmental Chemometrics: Principles and Modern Applications to your collection on WonderClub |