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Biblioteca

MARC Lista (tabellare)
A practical guide to scientific data analysis [Risorsa elettronica] / David Livingstone
A practical guide to scientific data analysis [Risorsa elettronica] / David Livingstone
Autore Livingstone, David
Pubbl/distr/stampa Chichester, UK : John Wiley, 2009
Disciplina 519.57
Soggetto non controllato Scienze - Metodi statistici
Disegni sperimentali
ISBN 9780470017913
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990009424490403321
Livingstone, David  
Chichester, UK : John Wiley, 2009
Risorse elettroniche
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (313 p.)
Disciplina 519.5/7
519.57
Altri autori (Persone) BergerMartijn
WongWeng Kee
Soggetto topico Optimal designs (Statistics)
Experimental design
Soggetto genere / forma Electronic books.
ISBN 1-280-27069-1
9786610270699
0-470-30004-3
0-470-85700-5
0-470-85699-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Optimal Designs; Contents; List of Contributors; Editors' Foreword; 1 Optimal Design in Educational Testing; 1.1 Introduction; 1.1.1 Paper-and-pencil or computerized adaptive testing; 1.1.2 Dichotomous response; 1.1.3 Polytomous response; 1.1.4 Information functions; 1.1.5 Design problems; 1.2 Test Design; 1.2.1 Fixed-form test design; 1.2.2 Test design for CAT; 1.3 Sampling Design; 1.3.1 Paper-and-pencil calibration; 1.3.2 CAT calibration; 1.4 Future Directions; Acknowledgements; References; 2 Optimal On-line Calibration of Testlets; 2.1 Introduction; 2.2 Background
2.2.1 Item response functions2.2.2 D-optimal design criterion; 2.3 Solution for Optimal Designs; 2.3.1 Mathematical programming model; 2.3.2 Unconstrained conjugate-gradient method; 2.3.3 Constrained conjugate-gradient method; 2.3.4 Gradient of log det M(B; Q, x); 2.3.5 MCMC sequential estimation of item parameters; 2.3.6 Note on performance measures; 2.4 Simulation Results; 2.5 Discussion; Appendix A Derivation of the Gradient of log det M(B; Q, x); Appendix B Projection on the Null Space of the Constraint Matrix; Acknowledgements; References
3 On the Empirical Relevance of Optimal Designs for the Measurement of Preferences3.1 Introduction; 3.2 Conjoint Analysis; 3.3 Paired Comparison Models in Conjoint Analysis; 3.4 Design Issues; 3.5 Experiments; 3.5.1 Experiment 1; 3.5.2 Experiment 2; 3.6 Discussion; Acknowledgements; References; 4 Designing Optimal Two-stage Epidemiological Studies; 4.1 Introduction; 4.2 Illustrative Examples; 4.2.1 Example 1; 4.2.2 Example 2; 4.2.3 Example 3; 4.3 Meanscore; 4.3.1 Example of meanscore; 4.4 Optimal Design and Meanscore; 4.4.1 Optimal design derivation for fixed second stage sample size
4.4.2 Optimal design derivation for fixed budget4.4.3 Optimal design derivation for fixed precision; 4.4.4 Computational issues; 4.5 Deriving Optimal Designs in Practice; 4.5.1 Data needed to compute optimal designs; 4.5.2 Examples of optimal design; 4.5.3 The optimal sampling package; 4.5.4 Sensitivity of design to sampling variation in pilot data; 4.6 Summary; 4.7 Appendix 1 Brief Description of Software Used; 4.7.1 R language; 4.7.2 S-PLUS; 4.7.3 STATA; 4.8 Appendix 2 The Optimal Sampling Package; 4.8.1 Illustrative data sets; 4.9 Appendix 3 Using the Optimal Package in R
4.9.1 Syntax and features of optimal sampling command 'budget' in R4.9.2 Example; 4.10 Appendix 4 Using the Optimal Package in S-Plus; 4.11 Appendix 5 Using the Optimal Package in STATA; 4.11.1 Syntax and features of 'optbud' function in STATA; 4.11.2 Analysis with categorical variables; 4.11.3 Illustrative example; References; 5 Response-Driven Designs in Drug Development; 5.1 Introduction; 5.2 Motivating Example: Quantal Models for Dose Response; 5.2.1 Optimality criteria; 5.3 Continuous Models; 5.3.1 Example 3.1; 5.3.2 Example 3.2
5.4 Variance Depending on Unknown Parameters and Multi-response Models
Record Nr. UNINA-9910143748103321
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (313 p.)
Disciplina 519.5/7
519.57
Altri autori (Persone) BergerMartijn
WongWeng Kee
Soggetto topico Optimal designs (Statistics)
Experimental design
ISBN 1-280-27069-1
9786610270699
0-470-30004-3
0-470-85700-5
0-470-85699-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Optimal Designs; Contents; List of Contributors; Editors' Foreword; 1 Optimal Design in Educational Testing; 1.1 Introduction; 1.1.1 Paper-and-pencil or computerized adaptive testing; 1.1.2 Dichotomous response; 1.1.3 Polytomous response; 1.1.4 Information functions; 1.1.5 Design problems; 1.2 Test Design; 1.2.1 Fixed-form test design; 1.2.2 Test design for CAT; 1.3 Sampling Design; 1.3.1 Paper-and-pencil calibration; 1.3.2 CAT calibration; 1.4 Future Directions; Acknowledgements; References; 2 Optimal On-line Calibration of Testlets; 2.1 Introduction; 2.2 Background
2.2.1 Item response functions2.2.2 D-optimal design criterion; 2.3 Solution for Optimal Designs; 2.3.1 Mathematical programming model; 2.3.2 Unconstrained conjugate-gradient method; 2.3.3 Constrained conjugate-gradient method; 2.3.4 Gradient of log det M(B; Q, x); 2.3.5 MCMC sequential estimation of item parameters; 2.3.6 Note on performance measures; 2.4 Simulation Results; 2.5 Discussion; Appendix A Derivation of the Gradient of log det M(B; Q, x); Appendix B Projection on the Null Space of the Constraint Matrix; Acknowledgements; References
3 On the Empirical Relevance of Optimal Designs for the Measurement of Preferences3.1 Introduction; 3.2 Conjoint Analysis; 3.3 Paired Comparison Models in Conjoint Analysis; 3.4 Design Issues; 3.5 Experiments; 3.5.1 Experiment 1; 3.5.2 Experiment 2; 3.6 Discussion; Acknowledgements; References; 4 Designing Optimal Two-stage Epidemiological Studies; 4.1 Introduction; 4.2 Illustrative Examples; 4.2.1 Example 1; 4.2.2 Example 2; 4.2.3 Example 3; 4.3 Meanscore; 4.3.1 Example of meanscore; 4.4 Optimal Design and Meanscore; 4.4.1 Optimal design derivation for fixed second stage sample size
4.4.2 Optimal design derivation for fixed budget4.4.3 Optimal design derivation for fixed precision; 4.4.4 Computational issues; 4.5 Deriving Optimal Designs in Practice; 4.5.1 Data needed to compute optimal designs; 4.5.2 Examples of optimal design; 4.5.3 The optimal sampling package; 4.5.4 Sensitivity of design to sampling variation in pilot data; 4.6 Summary; 4.7 Appendix 1 Brief Description of Software Used; 4.7.1 R language; 4.7.2 S-PLUS; 4.7.3 STATA; 4.8 Appendix 2 The Optimal Sampling Package; 4.8.1 Illustrative data sets; 4.9 Appendix 3 Using the Optimal Package in R
4.9.1 Syntax and features of optimal sampling command 'budget' in R4.9.2 Example; 4.10 Appendix 4 Using the Optimal Package in S-Plus; 4.11 Appendix 5 Using the Optimal Package in STATA; 4.11.1 Syntax and features of 'optbud' function in STATA; 4.11.2 Analysis with categorical variables; 4.11.3 Illustrative example; References; 5 Response-Driven Designs in Drug Development; 5.1 Introduction; 5.2 Motivating Example: Quantal Models for Dose Response; 5.2.1 Optimality criteria; 5.3 Continuous Models; 5.3.1 Example 3.1; 5.3.2 Example 3.2
5.4 Variance Depending on Unknown Parameters and Multi-response Models
Record Nr. UNINA-9910829983303321
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Applied optimal designs [[electronic resource] /] / edited by Martijn P.F. Berger, Weng Kee Wong
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2005
Descrizione fisica 1 online resource (313 p.)
Disciplina 519.5/7
519.57
Altri autori (Persone) BergerMartijn
WongWeng Kee
Soggetto topico Optimal designs (Statistics)
Experimental design
ISBN 1-280-27069-1
9786610270699
0-470-30004-3
0-470-85700-5
0-470-85699-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Applied Optimal Designs; Contents; List of Contributors; Editors' Foreword; 1 Optimal Design in Educational Testing; 1.1 Introduction; 1.1.1 Paper-and-pencil or computerized adaptive testing; 1.1.2 Dichotomous response; 1.1.3 Polytomous response; 1.1.4 Information functions; 1.1.5 Design problems; 1.2 Test Design; 1.2.1 Fixed-form test design; 1.2.2 Test design for CAT; 1.3 Sampling Design; 1.3.1 Paper-and-pencil calibration; 1.3.2 CAT calibration; 1.4 Future Directions; Acknowledgements; References; 2 Optimal On-line Calibration of Testlets; 2.1 Introduction; 2.2 Background
2.2.1 Item response functions2.2.2 D-optimal design criterion; 2.3 Solution for Optimal Designs; 2.3.1 Mathematical programming model; 2.3.2 Unconstrained conjugate-gradient method; 2.3.3 Constrained conjugate-gradient method; 2.3.4 Gradient of log det M(B; Q, x); 2.3.5 MCMC sequential estimation of item parameters; 2.3.6 Note on performance measures; 2.4 Simulation Results; 2.5 Discussion; Appendix A Derivation of the Gradient of log det M(B; Q, x); Appendix B Projection on the Null Space of the Constraint Matrix; Acknowledgements; References
3 On the Empirical Relevance of Optimal Designs for the Measurement of Preferences3.1 Introduction; 3.2 Conjoint Analysis; 3.3 Paired Comparison Models in Conjoint Analysis; 3.4 Design Issues; 3.5 Experiments; 3.5.1 Experiment 1; 3.5.2 Experiment 2; 3.6 Discussion; Acknowledgements; References; 4 Designing Optimal Two-stage Epidemiological Studies; 4.1 Introduction; 4.2 Illustrative Examples; 4.2.1 Example 1; 4.2.2 Example 2; 4.2.3 Example 3; 4.3 Meanscore; 4.3.1 Example of meanscore; 4.4 Optimal Design and Meanscore; 4.4.1 Optimal design derivation for fixed second stage sample size
4.4.2 Optimal design derivation for fixed budget4.4.3 Optimal design derivation for fixed precision; 4.4.4 Computational issues; 4.5 Deriving Optimal Designs in Practice; 4.5.1 Data needed to compute optimal designs; 4.5.2 Examples of optimal design; 4.5.3 The optimal sampling package; 4.5.4 Sensitivity of design to sampling variation in pilot data; 4.6 Summary; 4.7 Appendix 1 Brief Description of Software Used; 4.7.1 R language; 4.7.2 S-PLUS; 4.7.3 STATA; 4.8 Appendix 2 The Optimal Sampling Package; 4.8.1 Illustrative data sets; 4.9 Appendix 3 Using the Optimal Package in R
4.9.1 Syntax and features of optimal sampling command 'budget' in R4.9.2 Example; 4.10 Appendix 4 Using the Optimal Package in S-Plus; 4.11 Appendix 5 Using the Optimal Package in STATA; 4.11.1 Syntax and features of 'optbud' function in STATA; 4.11.2 Analysis with categorical variables; 4.11.3 Illustrative example; References; 5 Response-Driven Designs in Drug Development; 5.1 Introduction; 5.2 Motivating Example: Quantal Models for Dose Response; 5.2.1 Optimality criteria; 5.3 Continuous Models; 5.3.1 Example 3.1; 5.3.2 Example 3.2
5.4 Variance Depending on Unknown Parameters and Multi-response Models
Record Nr. UNINA-9910840568003321
Hoboken, NJ, : Wiley, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design and analysis of experiments: Special designs and applications, volume 3 [Risorsa elettronica] / edited by Klaus Hinkelmann
Design and analysis of experiments: Special designs and applications, volume 3 [Risorsa elettronica] / edited by Klaus Hinkelmann
Autore Hinkelmann, Klaus
Pubbl/distr/stampa Hoboken : Wiley, 2012
Disciplina 519.57
Collana Wiley series in probability and statistics
ISBN 9781118147634
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Special designs and applications
Record Nr. UNINA-990009821750403321
Hinkelmann, Klaus  
Hoboken : Wiley, 2012
Risorse elettroniche
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Design of experiments in nonlinear models [[electronic resource] ] : asymptotic normality, optimality criteria and small-sample properties / / by Luc Pronzato, Andrej Pázman
Design of experiments in nonlinear models [[electronic resource] ] : asymptotic normality, optimality criteria and small-sample properties / / by Luc Pronzato, Andrej Pázman
Autore Pronzato Luc
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (399 p.)
Disciplina 519.5
519.57
Collana Lecture Notes in Statistics
Soggetto topico Statistics 
Statistics for Life Sciences, Medicine, Health Sciences
Statistics, general
Statistics for Social Sciences, Humanities, Law
ISBN 1-4614-6363-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Asymptotic designs and uniform convergence. Asymptotic properties of the LS estimator -- Asymptotic properties of M, ML and maximum a posteriori estimators -- Local optimality criteria based on asymptotic normality -- Criteria based on the small-sample precision of the LS estimator -- Identifiability, estimability and extended optimality criteria -- Nonlocal optimum design -- Algorithms—a survey -- Subdifferentials and subgradients -- Computation of derivatives through sensitivity functions -- Proofs -- Symbols and notation -- List of labeled assumptions -- References.
Record Nr. UNINA-9910437873103321
Pronzato Luc  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [Risorsa elettronica] : data, models, and reality / James R. Thompson
Empirical model building [Risorsa elettronica] : data, models, and reality / James R. Thompson
Autore Thompson, James R. <James Robert ; <1938-
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J. : Wiley, 2011
Disciplina 519.57
Collana Wiley series in probability and statistics
ISBN 9781118109656
Formato Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990009821820403321
Thompson, James R. <James Robert ; <1938-  
Hoboken, N.J. : Wiley, 2011
Risorse elettroniche
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson
Empirical model building [[electronic resource] ] : data, models, and reality / / James R. Thompson
Autore Thompson James R (James Robert), <1938->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, c2011
Descrizione fisica 1 online resource (460 p.)
Disciplina 519.5/7
519.57
Collana Wiley series in probability and statistics
Soggetto topico Experimental design
Mathematical models
Mathematical statistics
ISBN 1-283-40069-3
9786613400697
1-118-10965-1
1-118-10962-7
Classificazione MAT029000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Empirical Model Building: Data, Models, and Reality; Contents; Preface; 1. Models of Growth and Decay; 1.1. A Simple Pension and Annuity Plan; 1.2. Income Tax Bracket Creep and the Quiet Revolution of 1980; 1.3. Retirement of a Mortgage; 1.4. Some Mathematical Descriptions of the Theory of Malthus; 1.5. Metastasis and Resistance; Problems; References; 2. Models of Competition, Survival, and Combat; 2.1. An Analysis of the Demographics of Ancient Israel; 2.2. The Plague and John Graunt's Life Table; 2.3. Modular Data-Based Wargaming; 2.3.1. Herman Kahn and the Winning of the Cold War
2.4. Predation and Immune Response Systems2.5. Pyramid Clubs for Fun and Profit; Problems; References; 3. Epidemics; 3.1. Introduction; 3.2. John Snow and the London Cholera Epidemic of 1854; 3.3. Prelude: The Postwar Polio Epidemic; 3.4. AIDS: A New Epidemic for America; 3.5. Why an AIDS Epidemic in America?; 3.5.1. Political Correctness Can Kill; 3.6. The Effect of the Gay Bathhouses; 3.7. A More Detailed Look at the Model; 3.8. Forays into the Public Policy Arena; 3.9. Modeling the Mature Epidemic; 3.10. AIDS as a Facilitator of Other Epidemics; 3.11. Comparisons with First World Countries
3.12. Conclusions: A Modeler's PortfolioProblems; References; 4. Bootstrapping; 4.1. Introduction; 4.2. Bootstrapping Analysis of Darwin's Data; 4.3. A Bootstrapping Approximation to Fisher's Nonparametric Test; 4.4. A Resampling Bassed Sign Test; 4.5. A Bootstrapping Approach for Confidence Intervals; 4.6. Solving Ill-Structured Problems; Problems; References; 5. Monte Carlo Solutions of Differential Equations; 5.1. Introduction; 5.2. Gambler's Ruin; 5.3. Solution of Simple Differential Equations; 5.4. Solution of the Fokker-Planck Equation; 5.5. The Dirichlet Problem
5.6. Solution of General Elliptic Differential Equations5.7. Conclusions; Problems; References; 6. SIMEST, SIMDAT, and Pseudoreality; 6.1. Introduction; 6.2. The Bootstrap: A Dirac-Comb Density Estimator; 6.3. SIMDAT: A Smooth Resampling Algorithm; 6.3.1. The SIMDAT Algorithm; 6.3.2. An Empirical Justification of SIMDAT; 6.4. SIMEST: An Oncological Example; 6.4.1. An Exploratory Prelude; 6.4.2. Models and Algorithms; Problems; References; 7. Exploratory Data Analysis; 7.1. Introduction; 7.2. Smoothing; 7.3. The Stem and Leaf Plot; 7.4. The Five Figure Summary; 7.5. Tukey's Box Plot; Problems
References8. Noise Killing Chaos; 8.1. Introduction; 8.2. The Discrete Logistic Model; 8.3. A Chaotic Convection Model; 8.4. Conclusions; Problems; References; 9. A Primer in Bayesian Data Analysis; 9.1. Introduction; 9.2. The EM Algorithm; 9.3. The Data Augmentation Algorithm; 9.4. The Gibbs Sampler; 9.5. Conclusions; Problems; References; 10. Multivariate and Robust Procedures in Statistical Process Control; 10.1. Introduction; 10.2. A Contamination Model for SPC; 10.3. A Compound Test for Higher Dimensional SPC Data; 10.4. Rank Testing with Higher Dimensional SPC Data
10.5. A Robust Estimation Procedure for Location in Higher Dimensions
Record Nr. UNINA-9910141174403321
Thompson James R (James Robert), <1938->  
Hoboken, N.J., : John Wiley & Sons, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Experimental Design [[electronic resource] ] : With Application in Management, Engineering, and the Sciences. / / by Paul D. Berger, Robert E. Maurer, Giovana B. Celli
Experimental Design [[electronic resource] ] : With Application in Management, Engineering, and the Sciences. / / by Paul D. Berger, Robert E. Maurer, Giovana B. Celli
Autore Berger Paul D
Edizione [2nd ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVIII, 639 p. 159 illus., 150 illus. in color.)
Disciplina 519.57
Soggetto topico Statistics 
Statistical Theory and Methods
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISBN 3-319-64583-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to experimental design -- 2. One-factor designs and the analysis of variance -- 3. Some further considerations on one-factor design and ANOVA -- 4. Multiple-comparison testing -- 5. Orthogonality, orthogonal decomposition, and their role in modern experimental design -- 6 -- Two-factor cross-classification designs -- 7. Nested, or hierarchical, designs -- 8. Designs with three or more factors: Latin-square and related designs -- 9. Two-level factorial designs -- 10. Confounding/blocking in 2k designs -- 11. Two-level fractional-factorial designs -- 12. Designs with factors at three levels -- 13. Introduction to Taguchi methods -- 14. Simple regression -- 15. Multiple and step-wise regression -- 16. Introduction to Response-Surface Methodology -- 17. Introduction to mixture design and triangular surfaces -- 18. Literature on experimental design and discussion.
Record Nr. UNINA-9910300119303321
Berger Paul D  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ion Irradiation of Dielectrics for Photonic Applications [[electronic resource] /] / by Feng Chen, Hiroshi Amekura, Yuechen Jia
Ion Irradiation of Dielectrics for Photonic Applications [[electronic resource] /] / by Feng Chen, Hiroshi Amekura, Yuechen Jia
Autore Chen Feng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (298 pages) : illustrations
Disciplina 519.57
Collana Springer Series in Optical Sciences
Soggetto topico Lasers
Photonics
Nanoscale science
Nanoscience
Nanostructures
Optical materials
Electronic materials
Technology
Optics, Lasers, Photonics, Optical Devices
Nanoscale Science and Technology
Optical and Electronic Materials
Applied Science, multidisciplinary
ISBN 981-15-4607-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals of Waveguides and Nanoparticle Systems -- Overview of Ion Beam Produced Dielectric Waveguides -- Photonic Structures Produced by Ion Beams -- Synthesis of Nanoparticles by Ion Implantation -- Elongation for Nanorods and Optical Effects -- Electrooptic Properties of Dielectric Waveguides -- Photoluminescence of Dielectric Waveguides -- Nonlinear Optical Dielectric Waveguides -- Lasing Based Dielectric Waveguides -- Tailoring of Optical Properties by Nanoparticles -- Summary and Outlook.
Record Nr. UNINA-9910410003203321
Chen Feng  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui