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A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.]
| A Course on Small Area Estimation and Mixed Models : Methods, Theory and Applications in R / Domingo Morales ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xx, 599 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Best linear unbiased prediction
Design-based estimation Empirical best prediction Estimation of socioeconomic indicators Generalized linear mixed model Labor markets surveys Linear Models Linear mixed models Living conditions surveys Mean squared error estimation Nested error regression models Prediction Theory R code R packages for SAE Small area estimation Survey Methodology |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274507 |
| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena
| A First Course in Linear Models and Design of Experiments / N. R. Mohan Madhyastha, S. Ravi, A. S. Praveena |
| Autore | Madhyastha, N. R. Mohan |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xiv, 230 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Praveena, Attahalli S.
Ravi, Sreenivasan |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62Kxx - Design of statistical experiments [MSC 2020] 62K10 - Statistical block designs [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62H10 - Multivariate distribution of statistics [MSC 2020] 62F25 - Parametric tolerance and confidence regions [MSC 2020] 62K15 - Factorial statistical designs [MSC 2020] |
| Soggetto non controllato |
Analysis of covariance
Analysis of variance Block Designs Design of experiments Factorial experiments Linear Models Linear hypotheses Missing plot technique Row-column designs Split plot experiments Standard designs |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250059 |
Madhyastha, N. R. Mohan
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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A First Course in Statistical Inference / Jonathan Gillard
| A First Course in Statistical Inference / Jonathan Gillard |
| Autore | Gillard, Jonathan |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 164 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62E15 - Exact distribution theory in statistics [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Confidence Interval
Data science Distribution theory Hypothesis Testing Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248557 |
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Gillard, Jonathan
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied survival analysis using R / Dirk F. Moore
| Applied survival analysis using R / Dirk F. Moore |
| Autore | Moore, Dirk F. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 226 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] |
| Soggetto non controllato |
Censoring
Competing risks analysis Confidence Intervals Log-rank test Nelson-Aalen nonparametric estimator Partial likelihood Prentice-modification of Gehan test Product-limit Kaplan-Meier estimator Proportional hazards Survival curves Survival data Truncation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114447 |
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Moore, Dirk F.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied survival analysis using R / Dirk F. Moore
| Applied survival analysis using R / Dirk F. Moore |
| Autore | Moore, Dirk F. |
| Edizione | [[Cham] : Springer, 2016] |
| Pubbl/distr/stampa | XIV, 226 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62Nxx - Survival analysis and censored data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114447 |
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Moore, Dirk F.
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| XIV, 226 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Basics of modern mathematical statistics : exercises and solutions / Wolfgang Karl Härdle ... [et al.]
| Basics of modern mathematical statistics : exercises and solutions / Wolfgang Karl Härdle ... [et al.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2014 |
| Descrizione fisica | XXV, 185 p. : ill. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| Soggetto non controllato |
Bayes Estimation
Modern statistics Parameter Estimation Regression Statistical tests |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0104125 |
| Berlin, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Basics of modern mathematical statistics : exercises and solutions / Wolfgang Karl Härdle ... [et al.]
| Basics of modern mathematical statistics : exercises and solutions / Wolfgang Karl Härdle ... [et al.] |
| Edizione | [Berlin : Springer, 2014] |
| Pubbl/distr/stampa | XXV, 185 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62J05 - Linear regression; mixed models [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] |
| ISBN | 8-3-642-36849-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0104125 |
| XXV, 185 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer
| Bootstrap Methods : With Applications in R / Gerhard Dikta, Marsel Scheer |
| Autore | Dikta, Gerhard |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 256 p. : ill. ; 24 cm |
| Altri autori (Persone) | Scheer, Marsel |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] 62F40 - Bootstrap, jackknife and other resampling methods [MSC 2020] |
| Soggetto non controllato |
Bootstrap based tests
Experimental design Generalized Linear Models Goodness-of-fit test Longitudinal data analyis Regression analysis Survival analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274604 |
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Dikta, Gerhard
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall
| Data Science for Public Policy / Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall |
| Autore | Chen, Jeffrey C. |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 363 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Cornwall, Gary J.
Rubin, Edward A. |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62H11 - Directional data; spatial statistics [MSC 2020] 68N15 - Theory of programming languages [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 68T50 - Natural language processing [MSC 2020] 91C20 - Clustering in the social and behavioral sciences [MSC 2020] 68N01 - General topics in the theory of software [MSC 2020] |
| Soggetto non controllato |
Data Sciences
Econometrics Programming Public policy Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274696 |
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Chen, Jeffrey C.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry
| Generalized principal component analysis / René Vidal, Yi Ma, S. Shankar Sastry |
| Autore | Vidal, René |
| Pubbl/distr/stampa | New York, : Springer, 2016 |
| Descrizione fisica | XXXII, 566 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ma, Yi
Sastry, S. Shankar |
| Soggetto topico |
14-XX - Algebraic geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62B10 - Statistical aspects of information-theoretic topics [MSC 2020] 62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 30C10 - Polynomials and rational functions of one complex variable [MSC 2020] 62H35 - Image analysis in multivariate analysis [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020] 62Fxx - Parametric inference [MSC 2020] 30C40 - Kernel functions in one complex variable and applications [MSC 2020] 14N20 - Configurations and arrangements of linear subspaces [MSC 2020] |
| Soggetto non controllato |
Hybrid system identification
Image and video segmentation Linear subspace models Low-rank matrix theory Manifold learning Principal component analysis Robust principal component analysis Sparse representation theory Spectral clustering Subspace arrangements Subspace clustering |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114796 |
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Vidal, René
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| New York, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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