Applications in Statistical Computing : From Music Data Analysis to Industrial Quality Improvement / / edited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XI, 340 p. 83 illus., 48 illus. in color.) |
Disciplina | 519.5 |
Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
Soggetto topico |
Statistics
Data mining Mathematical statistics Mathematics Operations research Decision making Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Applied Statistics Probability and Statistics in Computer Science Mathematics in Music Operations Research/Decision Theory |
ISBN | 3-030-25147-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Methodological Developments in Data Science.-Aviation Data Analysis by Linear Programming in Airline Network Revenue Management -- Bayesian Reduced Rank Regression for Classification -- Modelling and classification of GC/IMS breath gas measurements for lozenges of different flavours -- The Cosine Depth Distribution Classifier for Directional Data -- A Nonconformity Ratio Based Desirability Function for Capability Assessment -- Part II Computational Statistics -- Heteroscedastic Discriminant Analysis using R -- Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco -- Part III Perspectives on Statistics and Data Science -- A Note on Artificial Intelligence and Statistics -- Statistical Computing and Data Science in Introductory Statistics -- Approaching Ethical Guidelines for Data Scientists -- Part IV Statistics in Econometric Applications -- Dating Lower Turning Points of Business Cycles – a Multivariate Linear Discriminant Analysis for Germany 1984 to 2009 -- Partial Orderings of Default Predictions -- Improving GMM efficiency in dynamic models for panel data with mean stationarity -- Part V Statistics in Industrial Applications -- Economically designed Bayesian np control charts using dual sample sizes for long-run processes -- Statistical analysis of the lifetime of diamond impregnated tools for core drilling of concrete -- Detection of anomalous sequences in crack data of a bridge monitoring -- Optimal Semi-Split-Plot Designs with R -- Continuous process monitoring through ensemble based anomaly detection -- Part VI Statistics in Music Applications -- Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music -- The Psychological Foundations of Classification. |
Record Nr. | UNINA-9910349330403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Applied Advanced Analytics [[electronic resource] ] : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (236 pages) |
Disciplina | 658.4038011 |
Collana | Springer Proceedings in Business and Economics |
Soggetto topico |
Operations research
Business - Data processing Business information services Business enterprises - Finance Management Statistics Operations Research and Decision Theory Business Analytics IT in Business Corporate Finance Applied Statistics |
ISBN | 981-336-656-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Data Streams -- Robust Statistics -- Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters -- Mitigating Agricultural Lending Risk: An Advanced Analytical Approach. |
Record Nr. | UNINA-9910484698803321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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The Art of Modelling the Learning Process : Uniting Educational Research and Practice / / by Jimmie Leppink |
Autore | Leppink Jimmie |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (276 pages) |
Disciplina | 370.21 |
Collana | Springer Texts in Education |
Soggetto topico |
Educational psychology
Education—Psychology Learning Instruction Education—Research Statistics Medical education Educational Psychology Learning & Instruction Research Methods in Education Applied Statistics Medical Education |
ISBN | 3-030-43082-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I – Common Questions -- Chapter 1: Learning Processes -- Chapter 2: Study Designs -- Chapter 3: Statistical Learning -- Chapter 4: Anchoring Narratives -- Part II – Variable Types -- Chapter 5 – Pass/Fail and Other Dichotomies -- Chapter 6 – Multicategory Nominal Choices -- Chapter 7 – Ordered Performance Categories -- Chapter 8 – Quantifiable Learning Outcomes -- Part III – Variable Networks -- Chapter 9 – Instrument Structures -- Chapter 10 – Cross-Instrument Communication -- Chapter 11 – Temporal Structures -- Chapter 12 – Longitudinal Assessment Networks -- Part IV – Time Series -- Chapter 13 – Randomised Controlled Experiments -- Chapter 14 – Static and Dynamic Group Structures -- Chapter 15 – Progress Testing in Large Cohorts -- Chapter 16 – Small Samples and Case Studies -- Part V – Conclusion -- Chapter 17: General Recommendations. . |
Record Nr. | UNINA-9910410013403321 |
Leppink Jimmie | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart Manufacturing [[electronic resource] ] : Methods, Applications, and Challenges / / edited by Kim Phuc Tran |
Autore | Tran Kim Phuc |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (271 pages) |
Disciplina | 670.28563 |
Collana | Springer Series in Reliability Engineering |
Soggetto topico |
Industrial engineering
Production engineering Statistics Machine learning Industrial and Production Engineering Applied Statistics Machine Learning |
Soggetto non controllato |
Manufactures
Technology & Engineering |
ISBN | 3-031-30510-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Introduction to Artificial Intelligence for Smart Manufacturing -- Chapter 2: Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges -- Chapter 3: Quality control for Smart Manufacturing in Industry 5.0 -- Chapter 4: Dynamic Process Monitoring Using Machine Learning Control Charts -- Chapter 5: Fault Prediction of Papermaking Process Based on Gaussian Mixture Model and Mahalanobis Distance -- Chapter 6: Multi-objective optimization of flexible flow-shop intelligent scheduling based on a hybrid intelligent algorithm -- Chapter 7: Personalized pattern recommendation system of men’s shirts -- Chapter 8: Efficient and Trustworthy Federated Learning-based Explainable Anomaly Detection: Challenges, Methods, and Future Directions -- Chapter 9: Multimodal machine learning in prognostics and health management of manufacturing systems -- Chapter 10: Explainable Artificial Intelligence for Cybersecurity in Smart Manufacturing -- Chapter 11: Wearable technology for Smart Manufacturing in Industry 5.0 -- Chapter 12: Benefits of using Digital Twin for online fault diagnosis of a manufacturing system. |
Record Nr. | UNINA-9910728942103321 |
Tran Kim Phuc | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Best Practice Guideline for Statistical Analyses of Fatigue Results / / by Guy Parmentier, Michel Huther, Isabel Huther, Fabien Lefebvre |
Autore | Parmentier Guy |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (IX, 117 p. 24 illus., 17 illus. in color.) |
Disciplina |
620.112
671.52042 |
Collana | IIW Collection |
Soggetto topico |
Materials—Fatigue
Statistics Materials Fatigue Applied Statistics |
ISBN | 3-031-23570-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910686782603321 |
Parmentier Guy | ||
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Case Studies in Applied Bayesian Data Science [[electronic resource] ] : CIRM Jean-Morlet Chair, Fall 2018 / / edited by Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (vi, 417 pages) : illustrations |
Disciplina | 519.542 |
Collana | Lecture Notes in Mathematics |
Soggetto topico |
Statistics
Probabilities Bayesian Inference Probability Theory and Stochastic Processes Applied Statistics |
ISBN | 3-030-42553-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996418262503316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / / edited by Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (vi, 417 pages) : illustrations |
Disciplina | 519.542 |
Collana | Lecture Notes in Mathematics |
Soggetto topico |
Statistics
Probabilities Bayesian Inference Probability Theory and Stochastic Processes Applied Statistics |
ISBN | 3-030-42553-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910483368503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Decentralized insurance : technical foundation of business models / / Runhuan Feng |
Autore | Feng Runhuan |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (279 pages) |
Disciplina | 368.01 |
Collana | Springer Actuarial |
Soggetto topico |
Insurance - Statistical methods
Insurance - Mathematical models Probabilities Statistics Mathematics in Business, Economics and Finance Applied Probability Applied Statistics Assegurances Estadística matemàtica Models matemàtics |
Soggetto genere / forma | Llibres electrònics |
Soggetto non controllato |
Finance
Business & Economics |
ISBN |
9783031295591
3031295595 9783031295584 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction -- 2. Risk Assessment and Measures -- 3. Economics of Risk and Insurance -- 4. Traditional Insurance -- 5. Decentralized Insurance -- 6. Aggregate Risk Pooling -- 7. P2P Risk Exchange -- 8. Unified Framework -- 9. DeFi Insurance -- Reference. – Index. |
Record Nr. | UNINA-9910726286603321 |
Feng Runhuan | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Determining Sample Size and Power in Research Studies [[electronic resource] ] : A Manual for Researchers / / by J. P. Verma, Priyam Verma |
Autore | Verma J. P |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIII, 127 p. 61 illus., 43 illus. in color.) |
Disciplina | 519.5 |
Soggetto topico |
Statistics
Sociology—Research Study skills Statistical Theory and Methods Research Methodology Applied Statistics Research Skills |
ISBN | 981-15-5204-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Introduction To Sample Size Determination -- Chapter 2: Understanding Statistical Inference -- Chapter 3: Understanding Concepts In Estimating Sample Size In Survey Studies -- Chapter 3: Chapter 4: Understanding Concepts In Estimating Sample Size In Hypothesis Testing Experiments Chapter 5: Use Of G*Power Software -- Chapter 6: Determining Sample Size In Experimental Studies -- Chapter 7: Determining Sample Size In General Linear Models. |
Record Nr. | UNINA-9910484287303321 |
Verma J. P | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Determining Sample Size and Power in Research Studies [[electronic resource] ] : A Manual for Researchers / / by J. P. Verma, Priyam Verma |
Autore | Verma J. P |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (XIII, 127 p. 61 illus., 43 illus. in color.) |
Disciplina | 519.5 |
Soggetto topico |
Statistics
Sociology—Research Study skills Statistical Theory and Methods Research Methodology Applied Statistics Research Skills |
ISBN | 981-15-5204-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1: Introduction To Sample Size Determination -- Chapter 2: Understanding Statistical Inference -- Chapter 3: Understanding Concepts In Estimating Sample Size In Survey Studies -- Chapter 3: Chapter 4: Understanding Concepts In Estimating Sample Size In Hypothesis Testing Experiments Chapter 5: Use Of G*Power Software -- Chapter 6: Determining Sample Size In Experimental Studies -- Chapter 7: Determining Sample Size In General Linear Models. |
Record Nr. | UNISA-996418264903316 |
Verma J. P | ||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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