Modern Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
| Modern Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck |
| Autore | Kenett Ron S. |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 005.133 |
| Collana | Statistics for Industry, Technology, and Engineering |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Artificial intelligence - Data processing Industrial engineering Production engineering Statistics and Computing Statistical Theory and Methods Data Science Industrial and Production Engineering Estadística Processament de dades Python (Llenguatge de programació) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-07566-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analyzing Variability: Descriptive Statistics -- Probability Models and Distribution Functions -- Statistical Inference and Bootstrapping -- Variability in Several Dimensions and Regression Models -- Sampling for Estimation of Finite Population Quantities -- Time Series Analysis and Prediction -- Modern analytic methods: Part I -- Modern analytic methods: Part II -- Introduction to Python -- List of Python packages -- Code Repository and Solution Manual -- Bibliography -- Index. |
| Record Nr. | UNISA-996490346003316 |
Kenett Ron S.
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| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Modern Statistics : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
| Modern Statistics : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck |
| Autore | Kenett Ron S. |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 |
| Descrizione fisica | 1 online resource (453 pages) |
| Disciplina | 005.133 |
| Collana | Statistics for Industry, Technology, and Engineering |
| Soggetto topico |
Mathematical statistics - Data processing
Statistics Artificial intelligence - Data processing Industrial engineering Production engineering Statistics and Computing Statistical Theory and Methods Data Science Industrial and Production Engineering |
| ISBN | 3-031-07566-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analyzing Variability: Descriptive Statistics -- Probability Models and Distribution Functions -- Statistical Inference and Bootstrapping -- Variability in Several Dimensions and Regression Models -- Sampling for Estimation of Finite Population Quantities -- Time Series Analysis and Prediction -- Modern analytic methods: Part I -- Modern analytic methods: Part II -- Introduction to Python -- List of Python packages -- Code Repository and Solution Manual -- Bibliography -- Index. |
| Record Nr. | UNINA-9910595043803321 |
Kenett Ron S.
|
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| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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