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Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors
| Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / Jianqing Fan, Jianxin Pan editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xvii, 386 p. : ill. ; 24 cm |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
00B30 - Festschriften [MSC 2020] 62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Big Data
Composite design Covariance matrix Data Mining Experimental design Functional data High-Dimensional Data Longitudinal data Machine learning Multivariate Data Network data Quantile regression Robust Design Survival data Variable Selection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248857 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Contingency table analysis : methods and implementation using R / Maria Kateri
| Contingency table analysis : methods and implementation using R / Maria Kateri |
| Autore | Kateri, Maria |
| Pubbl/distr/stampa | New York, : Birkhäuser ; Springer, 2014 |
| Descrizione fisica | XVII, 304 p. ; 24 cm |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Categorical classification variable Categorical datac Commensurable classification variables Contingency tables Exact inference S-PLUS |
| ISBN | 978-08-17-64810-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0102501 |
Kateri, Maria
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| New York, : Birkhäuser ; Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Contingency table analysis : methods and implementation using R / Maria Kateri
| Contingency table analysis : methods and implementation using R / Maria Kateri |
| Autore | Kateri, Maria |
| Edizione | [New York : Birkhäuser] |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62F03 - Parametric hypothesis testing [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62H17 - Contingency tables [MSC 2020] 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] |
| ISBN | 8-0-8176-4810-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0102501 |
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Kateri, Maria
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| 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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Fourier-Malliavin Volatility Estimation : Theory and Practice / Maria Elvira Mancino, Maria Cristina Recchioni, Simona Sanfelici
| Fourier-Malliavin Volatility Estimation : Theory and Practice / Maria Elvira Mancino, Maria Cristina Recchioni, Simona Sanfelici |
| Autore | Mancino, Maria Elvira |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | X, 135 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Recchioni, Maria Cristina
Sanfelici, Simona |
| Soggetto topico |
42B05 - Fourier series and coefficients in several variables [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 42A38 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Soggetto non controllato |
Convolution
Fourier analysis High-frequency data Leverage Microstructure Noise Multivariate Volatility Non-parametric estimation Science as a business Volatility of Volatility |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123445 |
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Mancino, Maria Elvira
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fourier-Malliavin Volatility Estimation : Theory and Practice / Maria Elvira Mancino, Maria Cristina Recchioni, Simona Sanfelici
| Fourier-Malliavin Volatility Estimation : Theory and Practice / Maria Elvira Mancino, Maria Cristina Recchioni, Simona Sanfelici |
| Autore | Mancino, Maria Elvira |
| Edizione | [Cham : Springer, 2017] |
| Pubbl/distr/stampa | X, 135 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) |
Recchioni, Maria Cristina
Sanfelici, Simona |
| Soggetto topico |
42B05 - Fourier series and coefficients in several variables [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 42A38 - Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62G05 - Nonparametric estimation [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 62F12 - Asymptotic properties of parametric estimators [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0123445 |
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Mancino, Maria Elvira
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| X, 135 p., : ill. ; 24 cm | ||
| 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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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 |
| Edizione | [New York : Springer, 2016] |
| Pubbl/distr/stampa | XXXII, 566 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| 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] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114796 |
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Vidal, René
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| XXXII, 566 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina
| High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory / Aygul Zagidullina |
| Autore | Zagidullina, Aygul |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xiv, 115 p. : ill. ; 24 cm |
| Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 62-XX - Statistics [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 60B20 - Random matrices (probabilistic aspects) [MSC 2020] |
| Soggetto non controllato |
Big Data
Covariance matrix estimation High-dimensional asymptotics High-dimensional covariance matrix estimation High-dimensional statistics Linear spectral statistics for high-dimensional inference Random matrix theory Sample covariance matrix estimator Shrinkage estimation of covariance matrices Statistical inference |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274816 |
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Zagidullina, Aygul
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman
| Linear Model Theory : With Examples and Exercises / Dale L. Zimmerman |
| Autore | Zimmerman, Dale L. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxi, 504 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
62H12 - Estimation in multivariate analysis [MSC 2020] 15A09 - Theory of matrix inversion and generalized inverses [MSC 2020] 62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 15A03 - Vector spaces, linear dependence, rank, lineability [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [MSC 2020] 62G15 - Nonparametric tolerance and confidence regions [MSC 2020] |
| Soggetto non controllato |
ANOVA
Aitken model BLUE and BLUP Best linear unbiased estimation and prediction Distribution theory Estimability Examples and exercises Gauss-Markov model Generalized inverse Least squares estimation Linear Models Matrix algebra Mean and error structures Mixed and random effects models Model misspecication Random vectors Regression methods Statistical Theory Variance component estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249398 |
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Zimmerman, Dale L.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
-
62H12 - Estimation in multivariate analysis [MSC 2020]
(54)
- 62-XX - Statistics [MSC 2020] (37)
- 62H15 - Hypothesis testing in multivariate analysis [MSC 2020] (14)
- 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] (10)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (10)