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Analysis and Presentation of Experimental Results : with Examples, Problems and Programs / Costas Christodoulides, George Christodoulides
| Analysis and Presentation of Experimental Results : with Examples, Problems and Programs / Costas Christodoulides, George Christodoulides |
| Autore | Christodoulides, Costas |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiv, 526 p. : ill. ; 24 cm |
| Altri autori (Persone) | Christodoulides, George |
| Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
92Exx - Chemistry [MSC 2020] |
| Soggetto non controllato |
Bernoulli distribution
Binomial distribution Central Limit Theorem Chauvenet's criterion Dimensional Analysis Error propagation Gaussian distribution International measurement system Joint probability density Least squares fit Mean value theorem Normal distribution Poisson distribution Standard deviation Standard deviation of the mean Written report of an experiment |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0182347 |
Christodoulides, Costas
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
| Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu |
| Autore | Simiu Emil |
| Pubbl/distr/stampa | Princeton, New Jersey : , : Princeton University Press, , 2002 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina | 515/.352 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Differentiable dynamical systems
Chaotic behavior in systems Stochastic systems |
| Soggetto non controllato |
Affine transformation
Amplitude Arbitrarily large Attractor Autocovariance Big O notation Central limit theorem Change of variables Chaos theory Coefficient of variation Compound Probability Computational problem Control theory Convolution Coriolis force Correlation coefficient Covariance function Cross-covariance Cumulative distribution function Cutoff frequency Deformation (mechanics) Derivative Deterministic system Diagram (category theory) Diffeomorphism Differential equation Dirac delta function Discriminant Dissipation Dissipative system Dynamical system Eigenvalues and eigenvectors Equations of motion Even and odd functions Excitation (magnetic) Exponential decay Extreme value theory Flow velocity Fluid dynamics Forcing (recursion theory) Fourier series Fourier transform Fractal dimension Frequency domain Gaussian noise Gaussian process Harmonic analysis Harmonic function Heteroclinic orbit Homeomorphism Homoclinic orbit Hyperbolic point Inference Initial condition Instability Integrable system Invariant manifold Iteration Joint probability distribution LTI system theory Limit cycle Linear differential equation Logistic map Marginal distribution Moduli (physics) Multiplicative noise Noise (electronics) Nonlinear control Nonlinear system Ornstein–Uhlenbeck process Oscillation Parameter space Parameter Partial differential equation Perturbation function Phase plane Phase space Poisson distribution Probability density function Probability distribution Probability theory Probability Production–possibility frontier Relative velocity Scale factor Shear stress Spectral density Spectral gap Standard deviation Stochastic process Stochastic resonance Stochastic Stream function Surface stress Symbolic dynamics The Signal and the Noise Topological conjugacy Transfer function Variance Vorticity |
| ISBN |
0-691-05094-5
1-4008-3250-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Chapter 1. Introduction -- PART 1. FUNDAMENTALS -- Chapter 2. Transitions in Deterministic Systems and the Melnikov Function -- Chapter 3. Chaos in Deterministic Systems and the Melnikov Function -- Chapter 4. Stochastic Processes -- Chapter 5. Chaotic Transitions in Stochastic Dynamical Systems and the Melnikov Process -- PART 2. APPLICATIONS -- Chapter 6. Vessel Capsizing -- Chapter 7. Open-Loop Control of Escapes in Stochastically Excited Systems -- Chapter 8. Stochastic Resonance -- Chapter 9. Cutoff Frequency of Experimentally Generated Noise for a First-Order Dynamical System -- Chapter 10. Snap-Through of Transversely Excited Buckled Column -- Chapter 11. Wind-Induced Along-Shore Currents over a Corrugated Ocean Floor -- Chapter 12. The Auditory Nerve Fiber as a Chaotic Dynamical System -- Appendix A1 Derivation of Expression for the Melnikov Function -- Appendix A2 Construction of Phase Space Slice through Stable and Unstable Manifolds -- Appendix A3 Topological Conjugacy -- Appendix A4 Properties of Space ∑2 -- Appendix A5 Elements of Probability Theory -- Appendix A6 Mean Upcrossing Rate τu-1 for Gaussian Processes -- Appendix A7 Mean Escape Rate τ∊-1 for Systems Excited by White Noise -- References -- Index |
| Record Nr. | UNINA-9910786748903321 |
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Simiu Emil
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| Princeton, New Jersey : , : Princeton University Press, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu
| Chaotic transitions in deterministic and stochastic dynamical systems : applications of Melnikov processes in engineering, physics, and neuroscience / / Emil Simiu |
| Autore | Simiu Emil |
| Pubbl/distr/stampa | Princeton, New Jersey : , : Princeton University Press, , 2002 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina | 515/.352 |
| Collana | Princeton Series in Applied Mathematics |
| Soggetto topico |
Differentiable dynamical systems
Chaotic behavior in systems Stochastic systems |
| Soggetto non controllato |
Affine transformation
Amplitude Arbitrarily large Attractor Autocovariance Big O notation Central limit theorem Change of variables Chaos theory Coefficient of variation Compound Probability Computational problem Control theory Convolution Coriolis force Correlation coefficient Covariance function Cross-covariance Cumulative distribution function Cutoff frequency Deformation (mechanics) Derivative Deterministic system Diagram (category theory) Diffeomorphism Differential equation Dirac delta function Discriminant Dissipation Dissipative system Dynamical system Eigenvalues and eigenvectors Equations of motion Even and odd functions Excitation (magnetic) Exponential decay Extreme value theory Flow velocity Fluid dynamics Forcing (recursion theory) Fourier series Fourier transform Fractal dimension Frequency domain Gaussian noise Gaussian process Harmonic analysis Harmonic function Heteroclinic orbit Homeomorphism Homoclinic orbit Hyperbolic point Inference Initial condition Instability Integrable system Invariant manifold Iteration Joint probability distribution LTI system theory Limit cycle Linear differential equation Logistic map Marginal distribution Moduli (physics) Multiplicative noise Noise (electronics) Nonlinear control Nonlinear system Ornstein–Uhlenbeck process Oscillation Parameter space Parameter Partial differential equation Perturbation function Phase plane Phase space Poisson distribution Probability density function Probability distribution Probability theory Probability Production–possibility frontier Relative velocity Scale factor Shear stress Spectral density Spectral gap Standard deviation Stochastic process Stochastic resonance Stochastic Stream function Surface stress Symbolic dynamics The Signal and the Noise Topological conjugacy Transfer function Variance Vorticity |
| ISBN |
0-691-05094-5
1-4008-3250-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Chapter 1. Introduction -- PART 1. FUNDAMENTALS -- Chapter 2. Transitions in Deterministic Systems and the Melnikov Function -- Chapter 3. Chaos in Deterministic Systems and the Melnikov Function -- Chapter 4. Stochastic Processes -- Chapter 5. Chaotic Transitions in Stochastic Dynamical Systems and the Melnikov Process -- PART 2. APPLICATIONS -- Chapter 6. Vessel Capsizing -- Chapter 7. Open-Loop Control of Escapes in Stochastically Excited Systems -- Chapter 8. Stochastic Resonance -- Chapter 9. Cutoff Frequency of Experimentally Generated Noise for a First-Order Dynamical System -- Chapter 10. Snap-Through of Transversely Excited Buckled Column -- Chapter 11. Wind-Induced Along-Shore Currents over a Corrugated Ocean Floor -- Chapter 12. The Auditory Nerve Fiber as a Chaotic Dynamical System -- Appendix A1 Derivation of Expression for the Melnikov Function -- Appendix A2 Construction of Phase Space Slice through Stable and Unstable Manifolds -- Appendix A3 Topological Conjugacy -- Appendix A4 Properties of Space ∑2 -- Appendix A5 Elements of Probability Theory -- Appendix A6 Mean Upcrossing Rate τu-1 for Gaussian Processes -- Appendix A7 Mean Escape Rate τ∊-1 for Systems Excited by White Noise -- References -- Index |
| Record Nr. | UNINA-9910827211303321 |
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Simiu Emil
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| Princeton, New Jersey : , : Princeton University Press, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Counting for Something : Statistical Principles and Personalities / William S. Peters
| Counting for Something : Statistical Principles and Personalities / William S. Peters |
| Autore | Peters, William S. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1987 |
| Descrizione fisica | xviiii, 275 p. ; 24 cm |
| Soggetto topico |
01A72 - Schools of mathematics [MSC 2020]
62-XX - Statistics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Analysis of variance
Bayesian Statistics Best fit Binomial distribution Boxplot Correlation Data analysis Descriptive Statistics Factor analysis Inferential Statistics Median Normal distribution Poisson distribution Probability distribution Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268934 |
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Peters, William S.
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| New York, : Springer-Verlag, 1987 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Energy Data Analytics for Smart Meter Data
| Energy Data Analytics for Smart Meter Data |
| Autore | Reinhardt Andreas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
smart grid
nontechnical losses electricity theft detection synthetic minority oversampling technique K-means cluster random forest smart grids smart energy system smart meter GDPR data privacy ethics multi-label learning Non-intrusive Load Monitoring appliance recognition fryze power theory V-I trajectory Convolutional Neural Network distance similarity matrix activation current electric vehicle synthetic data exponential distribution Poisson distribution Gaussian mixture models mathematical modeling machine learning simulation Non-Intrusive Load Monitoring (NILM) NILM datasets power signature electric load simulation data-driven approaches smart meters text convolutional neural networks (TextCNN) time-series classification data annotation non-intrusive load monitoring semi-automatic labeling appliance load signatures ambient influences device classification accuracy NILM signature load disaggregation transients pulse generator smart metering smart power grids power consumption data energy data processing user-centric applications of energy data convolutional neural network energy consumption energy data analytics energy disaggregation real-time smart meter data transient load signature attention mechanism deep neural network electrical energy load scheduling satisfaction Shapley Value solar photovoltaics review deep learning deep neural networks |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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Reinhardt Andreas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Statistics : An Introduction / Edward B. Magrab
| Engineering Statistics : An Introduction / Edward B. Magrab |
| Autore | Magrab, Edward B. |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | x, 171 p. : ill. ; 24 cm |
| Soggetto non controllato |
Analysis of variance
Box-whisker Plots Chi Square Distribution Confidence Intervals Experimental design Experiments with Blocking F Distribution Histograms Hypothesis Testing Linear regression Lognormal Moment Generating Function Multiple Linear Regression Normal distribution P-value Poisson distribution Random variables Repeatability Reproducibility Scatter Diagrams |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277388 |
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Magrab, Edward B.
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Exercise Manual in Probability Theory / J. Stoyanov ... [et al.] ; edited by K. Kocherlakota
| Exercise Manual in Probability Theory / J. Stoyanov ... [et al.] ; edited by K. Kocherlakota |
| Pubbl/distr/stampa | Dordrecht, : Kluwer, 1989 |
| Descrizione fisica | xii, 352 p. : ill. ; 24 cm |
| Soggetto non controllato |
Binomial distribution
Conditional probability Multinomial Distribution Normal distribution Poisson distribution Probability Theory Probability spaces Random variables Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0267336 |
| Dordrecht, : Kluwer, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Modern Statistical Methods for Spatial and Multivariate Data / Norou Diawara editor
| Modern Statistical Methods for Spatial and Multivariate Data / Norou Diawara editor |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xiv, 177 p. : ill. ; 24 cm |
| Soggetto topico |
62Hxx - Multivariate analysis [MSC 2020]
30C40 - Kernel functions in one complex variable and applications [MSC 2020] |
| Soggetto non controllato |
Functional representations
Modeling Multivariate data analysis Optimization Poisson distribution Simulation Spatial Analysis Spatio-temporal analysis Spatio-temporal techniques Statistical Methods |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127034 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Probability and Statistics : Theory and Applications / Gunnar Blom
| Probability and Statistics : Theory and Applications / Gunnar Blom |
| Autore | Blom, Gunnar |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1989 |
| Descrizione fisica | xi, 356 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Binomial distribution
Conditional probability Descriptive Statistics Likelihood Linear regression Multinomial distributions Normal distribution Poisson distribution Probability Theory Random variables Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269229 |
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Blom, Gunnar
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| New York, : Springer-Verlag, 1989 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Random Processes / M. Rosenblatt
| Random Processes / M. Rosenblatt |
| Autore | Rosenblatt, Murray |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1974 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Soggetto topico |
60Jxx - Markov processes [MSC 2020]
60Gxx - Stochastic processes [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 60A05 - Axioms; other general questions in probability [MSC 2020] 28D05 - Measure-preserving transformations [MSC 2020] 60E05 - Probability distributions: general theory [MSC 2020] 60F05 - Central limit and other weak theorems [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M15 - Inference from stochastic processes and spectral analysis [MSC 2020] |
| Soggetto non controllato |
Conditional probability
Linear optimization Poisson distribution Probability Theory Probability spaces Random variables Stochastic processes Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0267821 |
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Rosenblatt, Murray
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| New York, : Springer-Verlag, 1974 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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