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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
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
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
Opac: Controlla la disponibilità qui
The Art of Modelling the Learning Process : Uniting Educational Research and Practice / / by Jimmie Leppink
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
Opac: Controlla la disponibilità qui
Artificial Intelligence for Smart Manufacturing [[electronic resource] ] : Methods, Applications, and Challenges / / edited by Kim Phuc Tran
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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
Case Studies in Applied Bayesian Data Science : CIRM Jean-Morlet Chair, Fall 2018 / / edited by Kerrie L. Mengersen, Pierre Pudlo, Christian P. Robert
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
Opac: Controlla la disponibilità qui
Decentralized insurance : technical foundation of business models / / Runhuan Feng
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
Opac: Controlla la disponibilità qui
Determining Sample Size and Power in Research Studies [[electronic resource] ] : A Manual for Researchers / / by J. P. Verma, Priyam Verma
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
Opac: Controlla la disponibilità qui
Determining Sample Size and Power in Research Studies [[electronic resource] ] : A Manual for Researchers / / by J. P. Verma, Priyam Verma
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
Opac: Controlla la disponibilità qui