Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248705 |
| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / Matúš Maciak, Michal Pešta, Martin Schindler editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 156 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62G07 - Density estimation [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62M45 - Neural nets and related approaches to inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
(auto)regression
Analytical methods Asymptotics Estimation Fisher information Hypothesis Testing Meta learning Neural networks Robustness Statistical Methods Stochastic inequalities Stochastic models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248705 |
| Cham, : Springer, 2020 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123903 |
| Cham, : Springer, 2017 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors
| Analytical Methods in Statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | ix, 207 p. : ill. ; 24 cm |
| Soggetto topico |
60Gxx - Stochastic processes [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62Mxx - Inference from stochastic processes [MSC 2020] |
| Soggetto non controllato |
Analytical methods
Asymptotic analysis Bootstrap Estimation and hypothesis testing Fisher information Heavy tails Long-memory processes Minimization of divergence Probability distribution Quantile regression Regression Resampling Shape constrains Statistical inference Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123903 |
| Cham, : Springer, 2017 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte
| Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte |
| Autore | Calin, Ovidiu |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | XXIII, 375 p. : ill. ; 24 cm |
| Altri autori (Persone) | Udrişte, Constantin |
| Soggetto topico |
60Dxx - Geometric probability and stochastic geometry [MSC 2020]
62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 53C21 - Methods of global Riemannian geometry, including PDE methods; curvature restrictions [MSC 2020] 53B20 - Local Riemannian geometry [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] |
| Soggetto non controllato |
Entropy
Fisher information Informational geometry Probability density function Statistical manifolds |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103820 |
Calin, Ovidiu
|
||
| Cham, : Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte
| Geometric modeling in probability and statistics / Ovidiu Calin, Constantin Udrişte |
| Autore | Calin, Ovidiu |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | XXIII, 375 p. : ill. ; 24 cm |
| Altri autori (Persone) | Udrişte, Constantin |
| Soggetto topico |
53B20 - Local Riemannian geometry [MSC 2020]
53C21 - Methods of global Riemannian geometry, including PDE methods; curvature restrictions [MSC 2020] 53C22 - Geodesics in global differential geometry [MSC 2020] 60Dxx - Geometric probability and stochastic geometry [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] |
| Soggetto non controllato |
Entropy
Fisher information Informational geometry Probability density function Statistical manifolds |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00103820 |
Calin, Ovidiu
|
||
| Cham, : Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Information Geometry
| Information Geometry |
| Autore | Verdoolaege Geert |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (356 p.) |
| Soggetto non controllato |
?)
(? Bezout matrix decomposable divergence dually flat structure entropy Fisher information Fisher information matrix information geometry information theory Markov random fields matrix resultant maximum pseudo-likelihood estimation stationary process Stein equation Sylvester matrix tensor Sylvester matrix Vandermonde matrix |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839903321 |
Verdoolaege Geert
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Single-Particle Tracking: Experiment and Analysis
| Recent Advances in Single-Particle Tracking: Experiment and Analysis |
| Autore | Szwabiński Janusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico |
Physics
Research and information: general |
| Soggetto non controllato |
3D single-particle tracking
anomalous diffusion autocovariance function Brownian particle confinement CTRW deep learning diauxic growth diffusing-diffusivity endosomes estimation feature engineering Fisher information fractional Brownian motion heterogeneous information theory integro-differential equations machine learning classification mesoscopic model Monte Carlo simulations multifractional Brownian motion neural network non-uniform illumination occupation time statistics phase contrast image segmentation power of the statistical test random walk replicator equation residual neural networks single particle trajectory single pseudo-particle tracking single-particle tracking SPT statistical analysis stochastic processes stochastic thermodynamics trajectory classification trapping wound healing dynamics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Recent Advances in Single-Particle Tracking |
| Record Nr. | UNINA-9910566467703321 |
Szwabiński Janusz
|
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer
| The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer |
| Autore | Balakrishnan, Narayanaswamy |
| Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
| Descrizione fisica | XXI, 645 p. ; 24 cm |
| Altri autori (Persone) | Cramer, Erhard |
| Soggetto topico |
62N05 - Reliability and life testing [MSC 2020]
62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] 62N86 - Fuzziness, and survival analysis and censored data [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Experimental design
Fisher information Goodness-of-fit test Life testing Nonparametric inference Optimal progressive censoring Ordered data Parametric inference Progressive censoring Progressively censored samples Quality control Reliability |
| ISBN | 978-08-17-64806-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0102492 |
Balakrishnan, Narayanaswamy
|
||
| New York, : Birkhäuser ; Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer
| The art of progressive censoring : applications to reliability and quality / N. Balakrishnan, Erhard Cramer |
| Autore | Balakrishnan, Narayanaswamy |
| Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
| Descrizione fisica | XXI, 645 p. ; 24 cm |
| Altri autori (Persone) | Cramer, Erhard |
| Soggetto topico |
62N01 - Censored data models [MSC 2020]
62N05 - Reliability and life testing [MSC 2020] 62N86 - Fuzziness, and survival analysis and censored data [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
| Soggetto non controllato |
Experimental design
Fisher information Goodness-of-fit test Life testing Nonparametric inference Optimal progressive censoring Ordered data Parametric inference Progressive censoring Progressively censored samples Quality control Reliability |
| ISBN | 978-08-17-64806-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00102492 |
Balakrishnan, Narayanaswamy
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||
| New York, : Birkhäuser ; Springer, 2014 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||