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A user’s guide to network analysis in R / Douglas A. Luke
| A user’s guide to network analysis in R / Douglas A. Luke |
| Autore | Luke, Douglas A. |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XII, 238 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92C42 - Systems biology, networks [MSC 2020] 05C90 - Applications of graph theory [MSC 2020] |
| Soggetto non controllato |
Mathematical visualization
Network analysis R software |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113840 |
Luke, Douglas A.
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An Introduction to Clustering with R / Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R / Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani, Paolo |
| Pubbl/distr/stampa | Singapore, : Springer, 2020 |
| Descrizione fisica | xvii, 340 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ferraro, Maria B.
Martella, Francesca |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] 62H86 - Multivariate analysis and fuzziness [MSC 2020] |
| Soggetto non controllato |
Cluster analysis
Data analysis Multivariate statistics Practical Guide R Datasets R code R software |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250081 |
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Giordani, Paolo
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| Singapore, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
| An introduction to statistical learning : with applications in R / Gareth James ... [et al.] |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2021 |
| Descrizione fisica | xv, 607 p. : ill. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference R software Statistical learning Supervised learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275551 |
| New York, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xix, 463 p. : ill. ; 24 cm |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Longitudinal studies Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0276877 |
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Zelterman, Daniel
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applied multivariate statistics with R / Daniel Zelterman
| Applied multivariate statistics with R / Daniel Zelterman |
| Autore | Zelterman, Daniel |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XVI, 393 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Clustering
Factor methods Graphical displays Linear algebra Linear regression Matrix algebra biostatistics Normal distribution R software Statistical inference for biology Systems biology Time series models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113335 |
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Zelterman, Daniel
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| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens
| Chemometrics with R : Multivariate Data Analysis in the Natural and Life Sciences / Ron Wehrens |
| Autore | Wehrens, Ron |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2020 |
| Descrizione fisica | xvi, 308 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] |
| Soggetto non controllato |
Boootstrap
Clustering Linear regression Missing values Multidimensional Scaling Multivariate curve resolution Multivariate statistics Neural networks Non-Linear regression Partial least squares regression Principal component analysis R software Ssupport vector machines Statistical process control Time warping Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248480 |
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Wehrens, Ron
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| Berlin, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Distance sampling: methods and applications / S. T. Buckland ... [et al.]
| Distance sampling: methods and applications / S. T. Buckland ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XV, 277 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Animal abundance
Animal populations Capture-recapture Distance sampling Distance software Population density R software Survey design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113623 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Intuitive Introductory Statistics / Douglas A. Wolfe, Grant Schneider
| Intuitive Introductory Statistics / Douglas A. Wolfe, Grant Schneider |
| Autore | Wolfe, Douglas A. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xviii, 976 p. : ill. ; 24 cm |
| Altri autori (Persone) | Schneider, Grant |
| Soggetto topico | 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Counting and ranking
Data analysis Introductory Statistics Nonparametric methods Nonparametric regression line R software |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123980 |
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Wolfe, Douglas A.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Large-Scale Cognitive Assessment : Analyzing PIAAC Data / / edited by Débora B. Maehler, Beatrice Rammstedt
| Large-Scale Cognitive Assessment : Analyzing PIAAC Data / / edited by Débora B. Maehler, Beatrice Rammstedt |
| Autore | Maehler Débora B |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (VII, 290 p. 110 illus., 39 illus. in color.) |
| Disciplina | 371.26 |
| Collana | Methodology of Educational Measurement and Assessment |
| Soggetto topico |
Assessment
Statistics Education—Economic aspects International education Comparative education Assessment, Testing and Evaluation Statistics for Social Sciences, Humanities, Law Education Economics International and Comparative Education |
| Soggetto non controllato |
Assessment, Testing and Evaluation
Statistics for Social Sciences, Humanities, Law Education Economics International and Comparative Education Education Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy PIAAC data Large-scale assessment Data analysis Plausible values International comparison Key cognitive skills Literacy of adult population Numeracy of adult population Analysis with PIAAC datasets Stata R software Open access Education: examinations & assessment Social research & statistics Economics of specific sectors |
| ISBN | 3-030-47515-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Large-Scale Assessment in Education: Analysing PIAAC Data (Débora B. Maehler and Beatrice Rammstedt) -- Chapter 2. Design and Key Features of the PIAAC Survey of Adults (Irwin Kirsch, Kentaro Yamamoto, and Lale Khorramdel) -- Chapter 3. Plausible Values – Principles of Item Response Theory and Multiple Imputations (Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, and Kentaro Yamamoto) -- Chapter 4. Adult Cognitive and Non-Cognitive Skills: An Overview of Existing PIAAC Data (Débora B. Maehler and Ingo Konradt) -- Chapter 5. Analysing PIAAC Data with the International Data Explorer (IDE) (Emily Pawlowski and Jaleh Soroui) -- Chapter 6. Analysing PIAAC data with the IDB Analyzer (SPSS and SAS) (Andrés Sandoval-Hernández and Diego Carrasco) -- Chapter 7. Analysing PIAAC Data with Stata (François Keslair) -- Chapter 8. Analysing PIAAC Data with Structural Equation Modelling in Mplus (Ronny Scherer) -- 9. Using EdSurvey to Analyse PIAAC Data (Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang) -- Chapter 10. Analysing Log File Data from PIAAC (Frank Goldhammer, Carolin Hahnel, and Ulf Kroehne) -- Chapter 11. Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project (Jessica Daikeler, Britta Gauly, and Matthias Rosenthal). |
| Record Nr. | UNINA-9910416122503321 |
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Maehler Débora B
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| Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Matrix Algebra : Theory, Computations and Applications in Statistics / James E. Gentle
| Matrix Algebra : Theory, Computations and Applications in Statistics / James E. Gentle |
| Autore | Gentle, James E. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xxix, 648 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 62-XX - Statistics [MSC 2020] |
| Soggetto non controllato |
Determinant
Eigenvalues Eigenvectors Generalized inverse Geometry Graph theory Inner product Linear Models Linear Systems Linear algebra Linear transformations Matrix Numerical Analysis Optimization Positive definite R software Singular value decomposition Vector Vector spaces |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0124058 |
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Gentle, James E.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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