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Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XXVI, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive Modeling
Cross-validation Fractional polynomials Generalized additive modeling Heuristic search Nonlinear regression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114260 |
Knafl, George J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XXVI, 372 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114260 |
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Knafl, George J.
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| XXVI, 372 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126672 |
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Christensen, Ronald
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen
| Advanced Linear Modeling : Statistical Learning and Dependent Data / Ronald Christensen |
| Autore | Christensen, Ronald |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxiii, 608 p. : ill. ; 24 cm |
| Soggetto topico |
62Mxx - Inference from stochastic processes [MSC 2020]
62-XX - Statistics [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62K20 - Response surface designs [MSC 2020] |
| Soggetto non controllato |
ANOVA
Data analysis Excel Factor analysis Heteroscedasticity Mathematical statistics Mixed models Multivariate models Statistica Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126672 |
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Christensen, Ronald
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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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 | ||
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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 |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | ix, 207 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| 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] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123903 |
| ix, 207 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle, Wolfgang Karl |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxi, 305 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Computational statistics
Data reproducibility Graphical techniques High dimensional data analysis Multivariate statistical analysis Nonparametric methods Numerical techniques in statistics Programming language R Quantlets R sniplet Random numbers Regression Univariate statistical analysis Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123979 |
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Härdle, Wolfgang Karl
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
| Basic Elements of Computational Statistics / Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin |
| Autore | Härdle, Wolfgang Karl |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | xxi, 305 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Okhrin, Ostap
Okhrin, Yarema |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62G07 - Density estimation [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123979 |
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Härdle, Wolfgang Karl
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| xxi, 305 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII-2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Pubbl/distr/stampa | Berlin, : Springer, 2007 |
| Descrizione fisica | XIV, 337 p. ; 24 cm |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
62F10 - Point estimation [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive estimation
Concentration inequalities Empirical processes Information Information and communication, circuits Maxima Model selection Statistical learning |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0060323 |
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Massart, Pascal
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| Berlin, : Springer, 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour, 33., 2003 / Pascal Massart ; editor: Jean Picard
| Concentration inequalities and model selection : Ecole d'Eté de Probabilités de Saint-Flour, 33., 2003 / Pascal Massart ; editor: Jean Picard |
| Autore | Massart, Pascal |
| Edizione | [Berlin : Springer] |
| Descrizione fisica | Pubblicazione disponibile anche in formato elettronico. |
| Soggetto topico |
60Cxx - Combinatorial probability [MSC 2020]
62F10 - Point estimation [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62E17 - Approximations to statistical distributions (nonasymptotic) [MSC 2020] 62J02 - General nonlinear regression [MSC 2020] 94A17 - Measures of information, entropy [MSC 2020] 60E15 - Inequalities; stochastic orderings [MSC 2020] 62G07 - Density estimation [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| ISBN | 978-35-404-8497-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0060323 |
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Massart, Pascal
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| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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