Smoothing spline ANOVA models
Nonparametric function estimation with stochastic data, otherwiseknown as smoothing, has been studied by several generations ofstatisticians. Assisted by the ample computing power in today'sservers, desktops, and laptops, smoothing methods have been findingtheir ways into everyday data analysis...
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| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edição: | 2nd ed. 2013. |
| Colecção: | Springer Series in Statistics
297 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Smoothing spline ANOVA models, Chong Gu, 2nd ed., New York, Springer, 2013, 1 vol. (XVIII-433 p.), Springer series in statistics, 978-1-4614-5368-0 • Smoothing Spline ANOVA Models, Texte imprimé, 9781489989840 • Smoothing Spline ANOVA Models, Texte imprimé, 9781461453703 |
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| 020 | |a 9781461453697 | ||
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| 100 | 1 | |a Gu, Chong. | |
| 245 | 1 | 0 | |a Smoothing spline ANOVA models |c by Chong Gu. |
| 250 | |a 2nd ed. 2013. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Series in Statistics |v 297 |x 2197-568X | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction Model Construction Regression with Gaussian-Type Responses More Splines Regression and Exponential Families Regression with Correlated Responses Probability Density Estimation Hazard Rate Estimation Asymptotic Convergence Penalized Pseudo Likelihood | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Nonparametric function estimation with stochastic data, otherwiseknown as smoothing, has been studied by several generations ofstatisticians. Assisted by the ample computing power in today'sservers, desktops, and laptops, smoothing methods have been findingtheir ways into everyday data analysis by practitioners. While scoresof methods have proved successful for univariate smoothing, onespractical in multivariate settings number far less. Smoothing splineANOVA models are a versatile family of smoothing methods derivedthrough roughness penalties, that are suitable for both univariate andmultivariate problems.In this book, the author presents a treatise on penalty smoothingunder a unified framework. Methods are developed for (i) regressionwith Gaussian and non-Gaussian responses as well as with censored lifetime data; (ii) density and conditional density estimation under avariety of sampling schemes; and (iii) hazard rate estimation withcensored life time data and covariates. The unifying themes are thegeneral penalized likelihood method and the construction ofmultivariate models with built-in ANOVA decompositions. Extensivediscussions are devoted to model construction, smoothing parameterselection, computation, and asymptotic convergence | ||
| 776 | 0 | |0 16868098X |t Smoothing spline ANOVA models |f Chong Gu |e 2nd ed. |c New York |n Springer |d 2013 |p 1 vol. (XVIII-433 p.) |s Springer series in statistics |z 978-1-4614-5368-0 | |
| 776 | 0 | |t Smoothing Spline ANOVA Models |b Texte imprimé |z 9781489989840 | |
| 776 | 0 | |t Smoothing Spline ANOVA Models |b Texte imprimé |z 9781461453703 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4614-5369-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-0W2L14SH-Z |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748101233 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4614-5369-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751555800 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4614-5369-7 |z Accès INSA CVL | |
| 997 | |0 949752 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||