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Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors
| Advanced statistical methods in data science / Ding-Geng (Din) Chen ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2016 |
| Descrizione fisica | XVI, 222 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Accelerated Degradation Data
Analytics Degradation Models Non-Destructive and Destructive Degradation Tests Reliability Models Statistical Theory and Methods Statistical models |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114268 |
| Singapore, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors
| Advances in statistical models for data analysis / Isabella Morlini, Tommaso Minerva, Maurizio Vichi editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VIII, 268 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Causal inference
Classification Custering Data analysis Dglars Fuzzy methods Multidimensional methods Quantile regression Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113490 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact / Praveen Agarwal ... [et al.] editors
| Analysis of Infectious Disease Problems (Covid-19) and Their Global Impact / Praveen Agarwal ... [et al.] editors |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xxiv, 627 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Agent-based Models
COVID-19 Dynamical Models Epidemic Modelling Machine Learning Models Mathematical epidemiology Model Prediction Pandemic Influenza Reproductive Number Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275422 |
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors
| Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017 / Adriano Polpo ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2018 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Soggetto topico |
82B41 - Random walks, random surfaces, lattice animals, etc. in equilibrium statistical mechanics [MSC 2020]
60G35 - Signal detection and filtering (aspects of stochastic processes) [MSC 2020] 62-XX - Statistics [MSC 2020] 82B31 - Stochastic methods applied to problems in equilibrium statistical mechanics [MSC 2020] 62Axx - Foundational topics in statistics [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 81Pxx - Foundations, quantum information and its processing, quantum axioms, and philosophy [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 85A35 - Statistical astronomy [MSC 2020] |
| Soggetto non controllato |
Astrophysics
Biostatistics Chemistry Climate Studies Communications Theory Comology Earth Science Entropy Fluid mechanics Genetics Geophysics Imprecise Probability Machine learning Material Science Maximum Entropy Medical Imaging Non-parametric Mmethods Robotics Statistical models Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124581 |
| Cham, : Springer, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Differential-Geometrical Methods in Statistics / Shun-ichi Amari
| Differential-Geometrical Methods in Statistics / Shun-ichi Amari |
| Autore | Amari, Shun-Ichi |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1985 |
| Descrizione fisica | v, 294 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
53B05 - Linear and affine connections [MSC 2020] 53B21 - Methods of local Riemannian geometry [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] 53B15 - Other connections [MSC 2020] 62F05 - Asymptotic properties of parametric tests [MSC 2020] |
| Soggetto non controllato |
Estimator
Probability Probability distribution Statistical inference Statistical models Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268762 |
Amari, Shun-Ichi
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| New York, : Springer-Verlag, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen
| Extremal Families and Systems of Sufficient Statistics / Steffen L. Lauritzen |
| Autore | Lauritzen, Steffen L. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1988 |
| Descrizione fisica | xv, 268 p. : ill. ; 24 cm |
| Soggetto topico | 62B05 - Sufficient statistics and fields [MSC 2020] |
| Soggetto non controllato |
Likelihood
Mathematical statistics Maxima Statistical models Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0269014 |
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Lauritzen, Steffen L.
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| New York, : Springer-Verlag, 1988 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of clinical trials / Lawrence M. Friedman ... [et al.] - 5. ed
| Fundamentals of clinical trials / Lawrence M. Friedman ... [et al.] - 5. ed |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XXI, 550 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 00A17 - External book reviews [MSC 2020] |
| Soggetto non controllato |
Clinical Researcher
Clinical Trial Methodology Clinical Trials Medical Reference Randomization Regulatory Issues in Clinical Trials Sample Size Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113598 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 / S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen editors
| Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016 / S. Ejaz Ahmed, Francisco Carvalho, Simo Puntanen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 190 p. : ill. ; 24 cm |
| Soggetto topico |
60Jxx - Markov processes [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 15Axx - Basic linear algebra [MSC 2020] 15Bxx - Special matrices [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Big data analytics
Correlated and complex data Experimental designs High dimensional data analysis Linear algebra Matrix inequalities Matrix theory Multivariate linear models Numerical linear algebra Shrinkage estimation strategy Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127018 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Methodology and Applications of Statistics : A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday / Barry C. Arnold, Narayanaswamy Balakrishnan, Carlos A. Coelho editors
| Methodology and Applications of Statistics : A Volume in Honor of C.R. Rao on the Occasion of his 100th Birthday / Barry C. Arnold, Narayanaswamy Balakrishnan, Carlos A. Coelho editors |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xxv, 439 p. : ill. ; 24 cm |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Design and sampling
Distribution theory Hypothesis Testing Multivariate Analysis Shape and circular analysis Statistical estimation Statistical inference Statistical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274959 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime
| New Concepts in Imaging: Optical and Statistical Models / / David Mary, Claude Aime |
| Autore | Mary David |
| Pubbl/distr/stampa | EDP SCIENCES, 2013 |
| Descrizione fisica | 1 online resource (452 p.) |
| Collana | EAS Publication Series |
| Soggetto topico | SCIENCE / Astronomy |
| Soggetto non controllato |
Images
Applications astrophysiques Statistical models Optical models |
| ISBN | 2-7598-2487-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- List of Participants -- Contents -- Foreword -- Physical Bases and New Challenges in High Resolution Imaging -- Hypertelescopes: The Challenge of Direct Imaging at High Resolution -- Optical Long Baseline Interferometry: Examples from VEGA/CHARA -- The Fresnel Diffraction: A Story of Light and Darkness -- Astronomical Imaging... Atmospheric Turbulence? Adaptive Optics! -- Introduction to Wavefront Coding for Incoherent Imaging -- Adaptive Optics Feedback Control -- SCIROCCO+: Simulation Code of Interferometric-observations for ROtators and CirCumstellar Objects including Non-Radial Pulsations -- High Angular Resolution and Young Stellar Objects: Imaging the Surroundings of MWC 158 by Optical Interferometry -- Physical Models and Data Processing -- Principles of Image Reconstruction in Interferometry ebaut1 -- Imaging Techniques in Millimetre Astronomy -- SMOS-NEXT: A New Concept for Soil Moisture Retrieval from Passive Interferometric Observations -- Formation, Simulation and Restoration of Hypertelescopes Images -- Statistical Models in Signal and Image Processing -- Introduction to the Restoration of Astrophysical Images by Multiscale Transforms and Bayesian Methods -- Constrained Minimization Algorithms. Linear Models -- Scaled Gradient Projection Methods for Astronomical Imaging -- SGM to Solve NMF - Application to Hyperspectral Data -- MCMC Algorithms for Supervised and Unsupervised Linear Unmixing of Hyperspectral Images -- Restoration of Hyperspectral Astronomical Data with Spectrally Varying Blur -- Supervised Nonlinear Unmixing of Hyperspectral Images Using a Pre-image Methods -- Author Index |
| Record Nr. | UNISA-996411339603316 |
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Mary David
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| EDP SCIENCES, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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