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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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Information Geometry
Information Geometry
Autore Verdoolaege Geert
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (356 p.)
Soggetto non controllato decomposable divergence
tensor Sylvester matrix
maximum pseudo-likelihood estimation
matrix resultant
?)
Markov random fields
Fisher information
Fisher information matrix
Stein equation
entropy
Sylvester matrix
information geometry
stationary process
(?
dually flat structure
information theory
Bezout 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
Materiale a stampa
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 electronic resource (238 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato diauxic growth
replicator equation
mesoscopic model
integro-differential equations
anomalous diffusion
statistical analysis
single-particle tracking
trajectory classification
fractional Brownian motion
estimation
autocovariance function
neural network
Monte Carlo simulations
multifractional Brownian motion
power of the statistical test
machine learning classification
feature engineering
confinement
information theory
Brownian particle
stochastic thermodynamics
CTRW
diffusing-diffusivity
occupation time statistics
wound healing dynamics
single pseudo-particle tracking
phase contrast image segmentation
3D single-particle tracking
Fisher information
non-uniform illumination
SPT
deep learning
residual neural networks
random walk
heterogeneous
endosomes
single particle trajectory
stochastic processes
trapping
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  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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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  
New York, : Birkhäuser ; Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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