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Corpus Linguistics and Statistics with R : Introduction to Quantitative Methods in Linguistics / Guillaume Desagulier
| Corpus Linguistics and Statistics with R : Introduction to Quantitative Methods in Linguistics / Guillaume Desagulier |
| Autore | Desagulier, Guillaume |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiii, 353 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 91F20 - Linguistics [MSC 2020] |
| Soggetto non controllato |
Categorical data
Clustering methods Data organization Frequency data Linguistics with R Modeling Quantitative methods for linguistics R package linguistics Regression methods Statistics for linguistics Textual data analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124143 |
Desagulier, Guillaume
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors
| Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xi, 265 p. : ill. ; 24 cm |
| Soggetto non controllato |
Classification/Prediction
Cross-validation DNA hybridization Data Visualization Data science platforms Deep learning/Backpropagation Dimensionality reduction Experimental control Explainable solutions Extreme Dimensionality reduction Geometric methods Independent component analysis Information-theoretic methods Machine learning Molecular Methods No-Free-Lunch (NFL) theorem Regression methods Semi/Unsupervised learning Statistical Methods Supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277281 |
| Cham, : Springer, 2022 | ||
| 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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Linear Model Theory : Exercises and solutions / Dale L. Zimmerman
| Linear Model Theory : Exercises and solutions / Dale L. Zimmerman |
| Autore | Zimmerman, Dale L. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | vii, 353 p. : ill. ; 24 cm |
| Soggetto topico |
00A07 - Problem books [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62J10 - Analysis of variance and covariance (ANOVA) [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-VAN0249400 |
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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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