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[null,"1.","Record Nr.",null,"UNINA9910838288403321"]
[null,null,"Autore",null,"Crespo Márquez Adolfo"]
[null,null,"Titolo",null,"Advances in Asset Management: Strategies, Technologies, and Industry Applications / / edited by Adolfo Crespo Márquez, Turuna S. Seecharan, Georges Abdul-Nour, Joe Amadi-Echendu"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024"]
[null,null,"ISBN",null,"9783031523915"]
[{"$nulls":4},"3031523911"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (233 pages)"]
[null,null,"Collana",null,"Engineering Asset Management Review, , 2190-7854 ; ; 3"]
[null,null,"Disciplina",null,"690.24"]
[null,null,"Soggetti",null,"Buildings - Repair and reconstruction"]
[{"$nulls":4},"Buildings - Maintenance"]
[{"$nulls":4},"Internet of things"]
[{"$nulls":4},"Industrial engineering"]
[{"$nulls":4},"Production engineering"]
[{"$nulls":4},"Production management"]
[{"$nulls":4},"Sustainability"]
[{"$nulls":4},"Building Repair and Maintenance"]
[{"$nulls":4},"Internet of Things"]
[{"$nulls":4},"Industrial and Production Engineering"]
[{"$nulls":4},"Production"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part 1: Risk Management and Qualitative Analysis -- 1. RQCM: Risk Qualitative Criticality Matrix. Case study: Ophthalmic lens production systems in Costa Rica -- 2. Factors affecting the quality of network services in emerging telecoms operating environment and markets -- Part 2: Technology and Innovation in Asset Management -- 3. A Conceptual Implementation Process for Smart Maintenance Technologies -- A Framework for Assessing Emerging Technology Risks in Industrial Asset -- Part 3: Asset Health and Maintenance Strategies -- 5. Challenges on an Asset Health Index (AHI) Calculation -- 6. General Bases to Hierarchy Definition for Digital Assets in Railway Context -- 7. Determination of the exact economic time for the component replacement using condition-based maintenance -- Part 4: Industry-Specific Asset Management and Other Considerations -- 8. "]
[{"$nulls":4},"Audit models for asset management, maintenance, and reliability processes: A case study applied to the desalination plant -- 9. Audit Model for Asset Management, Maintenance and Reliability Processes: A case study applied to pulp mill sector -- 10. The Role of Eco-Driving and Wearable Sensors in Industry 4.0."]
[null,null,null,"Sommario/riassunto","This book showcases cutting-edge research from the 16th World Congress on Engineering Asset Management (WCEAM), focusing on risk management, technology integration, and industry-specific insights. Embark on a journey into contemporary asset management with Advances in Asset Management: Strategies, Technologies, and Industry Applications presented by the International Society of Engineering Asset Management (ISEAM). This book explores the fundamentals of risk assessment and offers insights into network services in dynamic environments. Besides describing the integration of technology with a roadmap for smart maintenance, this work delves into emerging technology risks. Uncovering the intricacies of asset health and maintenance strategies, from calculating an Asset Health Index (AHI) to optimizing replacement timing through condition-based maintenance, this volume investigates the hierarchy definition for digital assets in the railway context. Thefinal section highlights industry-specific insights, including practical applications of audit models in desalination plants and the pulp mill sector. 'The Role of Eco-Driving and Wearable Sensors in Industry 4.0' expands the discussion to sustainability and emerging technologies. Tailored for professionals, researchers, and students, this book provides a deep understanding of contemporary asset management practices."]
[null,"2.","Record Nr.",null,"UNINA9910483919303321"]
[null,null,"Autore",null,"Bernardi Enrico <1838-1900, >"]
[null,null,"Titolo",null,"Counting Statistics for Dependent Random Events : With a Focus on Finance / / by Enrico Bernardi, Silvia Romagnoli"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021"]
[null,null,"ISBN",null,"3-030-64250-X"]
[null,null,"Edizione",null,"[1st ed. 2021.]"]
[null,null,"Descrizione fisica",null,"1 online resource (213 pages) : illustrations"]
[null,null,"Disciplina",null,"519.535"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Mathematics"]
[{"$nulls":4},"Probabilities"]
[{"$nulls":4},"Financial engineering"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"Statistics in Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Applications of Mathematics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Probability Theory"]
[{"$nulls":4},"Financial Engineering"]
[{"$nulls":4},"Quantitative Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Preface -- I The Main Ingredients -- 1 Clustering -- 2 Copula Function and C-volume -- 3 Combinatorics and Random Matrices: A Brief Review -- II Mixing the Ingredients: A Recipe for a New Aggregation Algorithm -- 4 Counting a Random Event: Traditional Approach and New Perspectives -- 5 A New Copula-based Approach for Counting: The Distorted and the Limiting Case -- 6 Real Data Empirical Applications."]
[null,null,null,"Sommario/riassunto","This book on counting statistics presents a novel copula-based approach to counting dependent random events. It combines clustering, combinatorics-based algorithms and dependence structure in order to tackle and simplify complex problems, without disregarding the hierarchy of or interconnections between the relevant variables. These problems typically arise in real-world applications and computations involving big data in finance, insurance and banking, where experts are confronted with counting variables in monitoring "]
[{"$nulls":4},"random events. In this new approach, combinatorial distributions of random events are the core element. In order to deal with the high-dimensional features of the problem, the combinatorial techniques are used together with a clustering approach, where groups of variables sharing common characteristics and similarities are identified and the dependence structure within groups is taken into account. The original problems can then be modeled using new classes of copulas, referred to here as clusterized copulas, which are essentially based on preliminary groupings of variables depending on suitable characteristics and hierarchical aspects. The book includes examples and real-world data applications, with a special focus on financial applications, where the new algorithms’ performance is compared to alternative approaches and further analyzed. Given its scope, the book will be of interest to master students, PhD students and researchers whose work involves or can benefit from the innovative methodologies put forward here. It will also stimulate the empirical use of new approaches among professionals and practitioners in finance, insurance and banking."]