Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Acoustic Cavitation and Bubble Dynamics / / by Kyuichi Yasui
| Acoustic Cavitation and Bubble Dynamics / / by Kyuichi Yasui |
| Autore | Yasui Kyuichi |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (VIII, 124 p. 84 illus.) |
| Disciplina | 530.4275 |
| Collana | Ultrasound and Sonochemistry |
| Soggetto topico |
Chemometrics
Chemistry, Physical and theoretical Acoustics Fluid mechanics Math. Applications in Chemistry Theoretical and Computational Chemistry Engineering Fluid Dynamics |
| ISBN | 3-319-68237-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Acoustic Cavitation -- Bubble Dynamics -- Unsolved Problems. |
| Record Nr. | UNINA-9910298589103321 |
Yasui Kyuichi
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
| Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret |
| Autore | Benveniste Albert |
| Edizione | [1st ed. 1990.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
| Descrizione fisica | 1 online resource (XII, 364 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
| ISBN | 3-642-75894-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
| Record Nr. | UNINA-9910480530803321 |
|
Benveniste Albert
|
||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret
| Adaptive Algorithms and Stochastic Approximations [[electronic resource] /] / by Albert Benveniste, Michel Metivier, Pierre Priouret |
| Autore | Benveniste Albert |
| Edizione | [1st ed. 1990.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
| Descrizione fisica | 1 online resource (XII, 364 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
| ISBN | 3-642-75894-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
| Record Nr. | UNINA-9910789215503321 |
|
Benveniste Albert
|
||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Adaptive Algorithms and Stochastic Approximations / / by Albert Benveniste, Michel Metivier, Pierre Priouret
| Adaptive Algorithms and Stochastic Approximations / / by Albert Benveniste, Michel Metivier, Pierre Priouret |
| Autore | Benveniste Albert |
| Edizione | [1st ed. 1990.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 |
| Descrizione fisica | 1 online resource (XII, 364 p.) |
| Disciplina | 519.2 |
| Collana | Stochastic Modelling and Applied Probability |
| Soggetto topico |
Probabilities
Chemometrics Computational intelligence Probability Theory and Stochastic Processes Math. Applications in Chemistry Computational Intelligence |
| ISBN | 3-642-75894-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | I. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the “Robbins-Monro” Case -- Subject Index to Part I -- Subject Index to Part II. |
| Record Nr. | UNINA-9910807086703321 |
|
Benveniste Albert
|
||
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1990 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks
| Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
| Edizione | [1st ed. 1993.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (XIII, 360 p.) |
| Disciplina | 621.3 |
| Collana | Springer Texts in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
| ISBN | 1-4613-9757-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
| Record Nr. | UNINA-9910478906503321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks
| Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
| Edizione | [1st ed. 1993.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (XIII, 360 p.) |
| Disciplina | 621.3 |
| Collana | Springer Texts in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
| ISBN | 1-4613-9757-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
| Record Nr. | UNINA-9910789217903321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks
| Advanced Topics in Shannon Sampling and Interpolation Theory [[electronic resource] /] / edited by Robert J.II Marks |
| Edizione | [1st ed. 1993.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 |
| Descrizione fisica | 1 online resource (XIII, 360 p.) |
| Disciplina | 621.3 |
| Collana | Springer Texts in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Computers Chemometrics Computational intelligence Electrical Engineering Models and Principles Math. Applications in Chemistry Computational Intelligence |
| ISBN | 1-4613-9757-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Gabor’s Signal Expansion and Its Relation to Sampling of the Sliding-Window Spectrum -- 1.1 Introduction -- 1.2 Sliding-Window Spectrum -- 1.3 Sampling Theorem for the Sliding-Window Spectrum -- 1.4 Examples of Window Functions -- 1.5 Gabor’s Signal Expansion -- 1.6 Examples of Elementary Signals -- 1.7 Degrees of Freedom of a Signal -- 1.8 Optical Generation of Gabor’s Expansion Coefficients for Rastered Signals -- 1.9 Conclusion -- 2 Sampling in Optics -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 The von Laue Analysis -- 2.4 Degrees of Freedom of an Image -- 2.5 Superresolving Pupils -- 2.6 Fresnel SampHng -- 2.7 Exponential SampHng -- 2.8 Partially Coherent Fields -- 2.9 Optical Processing -- 2.10 Conclusion -- 3 A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion with the Application in Minimum Density Sampling -- I: A Multidimensional Extension of Papoulis’ Generalized Sampling Expansion -- 3.1 Introduction -- 3.2 GSE Formulation -- 3.3 M-D Extension -- 3.4 Extension Generalization -- 3.5 Conclusion -- II: Sampling Multidimensional Band-Limited Functions At Minimum Densities -- 3.6 Sample Interdependency -- 3.7 Sampling Density Reduction Using M-D GSE -- 3.8 Computational Complexity of the Two Formulations -- 3.9 Sampling at the Minimum Density -- 3.10 Discussion -- 3.11 Conclusion -- 4 Nonuniform Sampling -- 4.1 Preliminary Discussions -- 4.2 General Nonuniform Sampling Theorems -- 4.3 Spectral Analysis of Nonuniform Samples and Signal Recovery -- 4.4 Discussion on Reconstruction Methods -- 5 Linear Prediction by Samples from the Past -- 5.1 Preliminaries -- 5.2 Prediction of Deterministic Signals -- 5.3 Prediction of Random Signals -- 6 Polar, Spiral, and Generalized Sampling and Interpolation -- 6.1 Introduction -- 6.2 Sampling in Polar Coordinates -- 6.3 Spiral Sampling -- 6.4 Reconstruction from Non-Uniform Samples by Convex Projections -- 6.5 Experimental Results -- 6.6 Conclusions -- Appendix A -- Appendix B -- 7 Error Analysis in Application of Generalizations of the Sampling Theorem -- Foreword: Welcomed General Sources for the Sampling Theorems -- 7.1 Introduction — Sampling Theorems -- 7.2 Error Bounds of the Present Extension of the Sampling Theorem -- 7.3 Applications -- Appendix A -- A.1 Analysis of Gibbs’ Phenomena. |
| Record Nr. | UNINA-9910818048003321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 1993 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of Quantum Dynamics in Chemistry / / by Fabien Gatti, Benjamin Lasorne, Hans-Dieter Meyer, André Nauts
| Applications of Quantum Dynamics in Chemistry / / by Fabien Gatti, Benjamin Lasorne, Hans-Dieter Meyer, André Nauts |
| Autore | Gatti Fabien |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 429 p. 110 illus.) |
| Disciplina | 541.28 |
| Collana | Lecture Notes in Chemistry |
| Soggetto topico |
Chemistry, Physical and theoretical
Quantum physics Chemoinformatics Chemometrics Theoretical and Computational Chemistry Quantum Physics Computer Applications in Chemistry Math. Applications in Chemistry |
| ISBN | 3-319-53923-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Introduction -- Part II Concepts and Methods: Quantum effects -- Electronic states and potential energy operators -- The Choice of coordinates -- Kinetic energy operators -- Introduction to molecular symmetry -- Introduction to numerical methods and to MCTDH -- Part III Applications: Infrared spectroscopy -- Quantum control with laser pulses in the electronic ground state -- Photodissociation spectra -- Cross sections for reactive scattering -- Quantum control with laser pulses for electronically excited states -- Non-adiabatic photochemistry -- Optimal control and quantum computers -- Part IV Conclusion. |
| Record Nr. | UNINA-9910254147103321 |
|
Gatti Fabien
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied chemometrics for scientists [[electronic resource] /] / Richard G. Brereton
| Applied chemometrics for scientists [[electronic resource] /] / Richard G. Brereton |
| Autore | Brereton Richard G |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2007 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina |
542.30151
543.015195 |
| Soggetto topico |
Chemometrics
Chemistry, Analytic |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-83864-7
9786610838646 0-470-05778-5 0-470-05777-7 |
| Classificazione | 35.05 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied 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
2.4 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 2.13 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 3.4.3 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 3.12.3 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 4.7.1 Principal Features |
| Record Nr. | UNINA-9910143727003321 |
|
Brereton Richard G
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applied chemometrics for scientists [[electronic resource] /] / Richard G. Brereton
| Applied chemometrics for scientists [[electronic resource] /] / Richard G. Brereton |
| Autore | Brereton Richard G |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2007 |
| Descrizione fisica | 1 online resource (397 p.) |
| Disciplina |
542.30151
543.015195 |
| Soggetto topico |
Chemometrics
Chemistry, Analytic |
| ISBN |
1-280-83864-7
9786610838646 0-470-05778-5 0-470-05777-7 |
| Classificazione | 35.05 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Applied 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
2.4 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 2.13 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 3.4.3 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 3.12.3 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 4.7.1 Principal Features |
| Record Nr. | UNINA-9910830136003321 |
|
Brereton Richard G
|
||
| Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
-
Chemometrics
(114)
- Math. Applications in Chemistry (59)
- Physics (18)
- Computational Intelligence (15)
- Computational intelligence (15)