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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.  
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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. UNINA-9910595043803321
Kenett Ron S.  
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui