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Advances in Statistical Decision Theory and Applications / S. Panchapakesan, N. Balakrishnan editors
Advances in Statistical Decision Theory and Applications / S. Panchapakesan, N. Balakrishnan editors
Pubbl/distr/stampa Boston [etc.], : Birkhäuser, 1997
Descrizione fisica xlix, 448 p. : ill. ; 24 cm
Soggetto topico 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
Soggetto non controllato Calculus
Correlation
Derivation
Finite
Functions
Logistic Regression
Mathematics
Methodology
Models
Normal distributions
Random variables
Regression
Variables
Variance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00297249
Boston [etc.], : Birkhäuser, 1997
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2021
Descrizione fisica xv, 607 p. : ill. ; 25 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
Soggetto non controllato Data Mining
Inference
R software
Statistical learning
Supervised learning
Unsupervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0275551
New York, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
Edizione [2. ed]
Pubbl/distr/stampa New York, : Springer, 2021
Descrizione fisica xv, 607 p. : ill. ; 25 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]
Soggetto non controllato Data Mining
Inference
R software
Statistical learning
Supervised learning
Unsupervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00275551
New York, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Asymptotics in Statistics : Some Basic Concepts / Lucien Le Cam, Grace Lo Yang
Asymptotics in Statistics : Some Basic Concepts / Lucien Le Cam, Grace Lo Yang
Autore Le Cam, Lucien M.
Pubbl/distr/stampa New York, : Springer-Verlag, 1990
Descrizione fisica viii, 180 p. ; 24 cm
Altri autori (Persone) Lo Yang, Grace
Soggetto topico 60Fxx - Limit theorems in probability theory [MSC 2020]
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62E20 - Asymptotic distribution theory in statistics [MSC 2020]
62F05 - Asymptotic properties of parametric tests [MSC 2020]
62F12 - Asymptotic properties of parametric estimators [MSC 2020]
62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
Soggetto non controllato Boundary Element Methods
Constructions
Fields
Forms
Functions
Likelihood
Maximum
Presentations
Statistical inference
Statistics
Variance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00287675
Le Cam, Lucien M.  
New York, : Springer-Verlag, 1990
Materiale a stampa
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Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xi, 184 p. : ill. ; 24 cm
Soggetto topico 62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
Soggetto non controllato Applications
Bayesian Inference
Bayesian Modeling
Bayesian computation
Computational problems in statistics
Data science
Inference from stochastic processes
Methodological and Applied Statistics
Multivariate Analysis
Neurosciences, astrostatistics, climate change
Nonparametric inference
Parametric inference
Young researchers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0126746
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Pubbl/distr/stampa Cham, : Springer, 2019
Descrizione fisica xi, 184 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62Mxx - Inference from stochastic processes [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
Soggetto non controllato Applications
Bayesian Inference
Bayesian Modeling
Bayesian computation
Computational problems in statistics
Data science
Inference from stochastic processes
Methodological and Applied Statistics
Multivariate Analysis
Neurosciences, astrostatistics, climate change
Nonparametric inference
Parametric inference
Young researchers
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00126746
Cham, : Springer, 2019
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Bayesian Statistics and New Generations : BAYSM 2018, Warwick, UK, July 2-3 Selected Contributions / Raffaele Argiento, Daniele Durante, Sara Wade editors
Edizione [Cham : Springer, 2019]
Pubbl/distr/stampa xi, 184 p., : ill. ; 24 cm
Descrizione fisica Pubblicazione in formato elettronico
Soggetto topico 62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
62Gxx - Nonparametric inference [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
62Fxx - Parametric inference [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0126746
xi, 184 p., : ill. ; 24 cm
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Autore Brandt, Siegmund
Edizione [4. ed]
Pubbl/distr/stampa Cham, : Springer, 2014
Descrizione fisica xx, 523 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-SUN0132855
Brandt, Siegmund  
Cham, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Autore Brandt, Siegmund
Edizione [4. ed]
Pubbl/distr/stampa Cham, : Springer, 2014
Descrizione fisica xx, 523 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
Soggetto non controllato Analysis of variance
Computer-generated Random Numbers
Data Analysis using Java
Data analysis
Error propagation
Fundamentals of Data Analysis
Graduate-Level Data Analysis
Introduction to Statistical Methods
Java Programs for Data Analysis
Least Squares
Linear regression
Matrix Calculation
Matrix algebra
Monte Carlo Methods
Polynomial regression
Singular-Value Analysis
Statistical Distributions
Statistical Error Analysis
Testing Statistical Hypotheses
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0132855
Brandt, Siegmund  
Cham, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Data Analysis : Statistical and Computational Methods for Scientists and Engineers / Siegmund Brandt ; translated by Glen Cowan
Autore Brandt, Siegmund
Edizione [4. ed]
Pubbl/distr/stampa Cham, : Springer, 2014
Descrizione fisica xx, 523 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Cxx - Statistical decision theory [MSC 2020]
Soggetto non controllato Analysis of variance
Computer-generated Random Numbers
Data Analysis using Java
Data analysis
Error propagation
Fundamentals of Data Analysis
Java Programs for Data Analysis
Least Squares
Linear regression
Matrix Calculation
Matrix algebra
Monte Carlo Methods
Polynomial regression
Singular-Value Analysis
Statistical Distributions
Statistical Error Analysis
Statistical Methods
Testing Statistical Hypotheses
Time Series Analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00132855
Brandt, Siegmund  
Cham, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui

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