Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advanced modeling and data challenges / Mike Nguyen
| Advanced modeling and data challenges / Mike Nguyen |
| Autore | Nguyen, Mike |
| Pubbl/distr/stampa | Cham, : Springer, 2025 |
| Descrizione fisica | 1 testo elettronico (xiii, 449 p. : ill.) |
| Soggetto topico |
62D10 - Missing data [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62F07 - Statistical ranking and selection procedures [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Data Collection
Data Interpretation Hypothesis Testing Latent Variable Models Marginal Effects Mediation Missing data Model selection Model uncertainty Moderation Practical Analytics Robust Statistics Seasonality Time series Variable Selection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00310399 |
Nguyen, Mike
|
||
| Cham, : Springer, 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to Robust and Quasi-Robust Statistical Methods / William J. J. Rey
| Introduction to Robust and Quasi-Robust Statistical Methods / William J. J. Rey |
| Autore | Rey, William J. J. |
| Pubbl/distr/stampa | Berlin, : Springer, 1983 |
| Descrizione fisica | x, 238 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] |
| Soggetto non controllato |
Analysis of Variance
Estimator Linear regression Median Probability distributions Robust estimate Robust methods Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00262746 |
|
Rey, William J. J.
|
||
| Berlin, : Springer, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Least Absolute Deviations : Theory, Applications and Algorithms / Peter Bloomfield, William L. Steiger
| Least Absolute Deviations : Theory, Applications and Algorithms / Peter Bloomfield, William L. Steiger |
| Autore | Bloomfield, Peter |
| Pubbl/distr/stampa | Boston, : Birkhäuser, : Springer, 1983 |
| Descrizione fisica | xiv, 351 p. ; 24 cm |
| Altri autori (Persone) | Steiger, William L. |
| Soggetto topico |
90C25 - Convex programming [MSC 2020]
90C05 - Linear programming [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] |
| Soggetto non controllato |
Algorithms
Linear optimization Numerical Analysis Optimization Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0253787 |
|
Bloomfield, Peter
|
||
| Boston, : Birkhäuser, : Springer, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Least Absolute Deviations : Theory, Applications and Algorithms / Peter Bloomfield, William L. Steiger
| Least Absolute Deviations : Theory, Applications and Algorithms / Peter Bloomfield, William L. Steiger |
| Autore | Bloomfield, Peter |
| Pubbl/distr/stampa | Boston, : Birkhäuser, : Springer, 1983 |
| Descrizione fisica | xiv, 351 p. ; 24 cm |
| Altri autori (Persone) | Steiger, William L. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 65Cxx - Probabilistic methods, stochastic differential equations [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 90C05 - Linear programming [MSC 2020] 90C25 - Convex programming [MSC 2020] |
| Soggetto non controllato |
Algorithms
Linear Optimization Numerical Analysis Optimization Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00253787 |
|
Bloomfield, Peter
|
||
| Boston, : Birkhäuser, : Springer, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Part 2. / Werner Stahel, Sanford Weisberg editors
| Part 2. / Werner Stahel, Sanford Weisberg editors |
| Pubbl/distr/stampa | New York [etc.], : Springer-Verlag, 1991 |
| Descrizione fisica | xviii, 380 p. : ill. ; 24 cm |
| Soggetto topico |
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020]
62Fxx - Parametric inference [MSC 2020] |
| Soggetto non controllato |
Algorithms
Data Analysis Linear regression Robust Statistics Statistics Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00288710 |
| New York [etc.], : Springer-Verlag, 1991 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Prova preselettiva : manuale e quiz sulle materie comuni a tutti i profili : quiz con soluzione commentata e simulatore online
| Prova preselettiva : manuale e quiz sulle materie comuni a tutti i profili : quiz con soluzione commentata e simulatore online |
| Pubbl/distr/stampa | Santarcangelo di Romagna, : Maggioli, 2019 |
| Descrizione fisica | 575 p. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62G20 - Asymptotic properties of nonparametric inference [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] |
| ISBN | 978-88-916380-8-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNICAMPANIA-VAN00293309 |
| Santarcangelo di Romagna, : Maggioli, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Recent advances in robust statistics : theory and applications / Claudio Agostinelli ... [et al.] editors
| Recent advances in robust statistics : theory and applications / Claudio Agostinelli ... [et al.] editors |
| Edizione | [[New Delhi] : Springer, 2016] |
| Pubbl/distr/stampa | X, 201 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNICAMPANIA-SUN0115308 |
| X, 201 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Recent advances in robust statistics: theory and applications / Claudio Agostinelli ... [et al.] editors
| Recent advances in robust statistics: theory and applications / Claudio Agostinelli ... [et al.] editors |
| Pubbl/distr/stampa | [New Delhi], : Springer, 2016 |
| Descrizione fisica | X, 201 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] |
| Soggetto non controllato |
Data depth
Distance and divergence measures Functional data High-Dimensional Data Robust Statistics Robust dimension reduction Statistical computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115308 |
| [New Delhi], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Recent advances in robust statistics: theory and applications / Claudio Agostinelli ... [et al.] editors
| Recent advances in robust statistics: theory and applications / Claudio Agostinelli ... [et al.] editors |
| Pubbl/distr/stampa | [New Delhi], : Springer, 2016 |
| Descrizione fisica | X, 201 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62G35 - Nonparametric robustness [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Data Depth
Distance and divergence measures Functional data High-Dimensional Data Robust Statistics Robust dimension reduction Statistical computing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round. |
| Record Nr. | UNICAMPANIA-VAN00115308 |
| [New Delhi], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler / Mengxi Yi, Klaus Nordhausen editors
| Robust and Multivariate Statistical Methods : Festschrift in Honor of David E. Tyler / Mengxi Yi, Klaus Nordhausen editors |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xviii, 495 p. : ill. ; 24 cm |
| Soggetto topico |
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62E20 - Asymptotic distribution theory in statistics [MSC 2020] 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] |
| Soggetto non controllato |
Asymptotics
Graphical models High-dimensional Methods Multivariate Analysis Multivariate statistical methods Normal Extremes Robust Estimation Robust Statistical Methods Robustness Supervised learning Time Series Analysis Tyler's Shape Estimator Tyler's Shape Matrix |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278999 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
