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Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser
| Business statistics for competitive advantage with excel 2016 : basics, model building, simulation and cases / Cynthia Fraser |
| Autore | Fraser, Cynthia |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 475 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Business statistics
Excel Excel 2016 Financial statistics Inference Nonlinear regression Regression Modeling Statistics for business |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114500 |
Fraser, Cynthia
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Business Statistics for Competitive Advantage with Excel 2019 and JMP : basics, model building, simulation and cases / Cynthia Fraser
| Business Statistics for Competitive Advantage with Excel 2019 and JMP : basics, model building, simulation and cases / Cynthia Fraser |
| Autore | Fraser, Cynthia |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xii, 417 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P20 - Applications of statistics to economics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Business statistics
Conjoint Analysis Excel Excel 2019 Financial statistics Forecasting Inference JMP Nonlinear regression Regression Modeling Simulation Statistics for business |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126755 |
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Fraser, Cynthia
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Clinical Prediction Models : a Practical Approach to Development, Validation, and Updating / Ewout W. Steyerberg
| Clinical Prediction Models : a Practical Approach to Development, Validation, and Updating / Ewout W. Steyerberg |
| Autore | Steyerberg, Ewout W. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xxxiii, 558 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 |
Anästhesie-Informations-Management-System
Bias assesment Coding Data analysis Diagnosis Evidence-Based Medicine Informations Linear regression Prediction Prediction models Radiologie Regression Modeling System Validation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126780 |
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Steyerberg, Ewout W.
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computational and Methodological Statistics and Biostatistics : Contemporary Essays in Advancement / Andriëtte Bekker, (Din) Ding-Geng Chen, Johannes T. Ferreira editors
| Computational and Methodological Statistics and Biostatistics : Contemporary Essays in Advancement / Andriëtte Bekker, (Din) Ding-Geng Chen, Johannes T. Ferreira editors |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxiv, 543 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] |
| Soggetto non controllato |
Bayesian Statistics
Bayesian adaptive designs Censoring Circular distributions Extreme values Generalizability theory Mixture models Optimization Regression Modeling Regression modelling Robust regression Spatio-temporal Variable Selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248829 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Forging connections between computational mathematics and computational geometry : papers from the 3. international conference on computational mathematics and computational geometry / Ke Chen editor, Anton Ravindran managing editor
| Forging connections between computational mathematics and computational geometry : papers from the 3. international conference on computational mathematics and computational geometry / Ke Chen editor, Anton Ravindran managing editor |
| Pubbl/distr/stampa | Cham, : Springer, 2016 |
| Descrizione fisica | XV, 300 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020] 68U05 - Computer graphics; computational geometry (digital and algorithmic aspects) [MSC 2020] 65Zxx - Applications to the sciences [MSC 2020] 65D18 - Numerical aspects of computer graphics, image analysis, and computational geometry [MSC 2020] |
| Soggetto non controllato |
Applied Mathematics
Computational geometry Computer Graphics Graphics for Mathematics Numerical algorithms Regression Modeling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114774 |
| Cham, : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistical Foundations of Actuarial Learning and its Applications [[electronic resource] /] / by Mario V. Wüthrich, Michael Merz
| Statistical Foundations of Actuarial Learning and its Applications [[electronic resource] /] / by Mario V. Wüthrich, Michael Merz |
| Autore | Wüthrich Mario V |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2023 |
| Descrizione fisica | 1 online resource (XII, 605 p. 1 illus.) |
| Disciplina | 368.01 |
| Collana | Springer Actuarial |
| Soggetto topico |
Actuarial science
Statistics Machine learning Artificial intelligence—Data processing Social sciences—Mathematics Actuarial Mathematics Statistics in Business, Management, Economics, Finance, Insurance Machine Learning Data Science Mathematics in Business, Economics and Finance Assegurances Estadística |
| Soggetto genere / forma | Llibres electrònics |
| Soggetto non controllato |
Deep Learning
Actuarial Modeling Pricing and Claims Reserving Artificial Neural Networks Regression Modeling |
| ISBN | 3-031-12409-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910632470503321 |
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Wüthrich Mario V
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| Cham, : Springer Nature, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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