Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 11,06
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Monroe, Elis (illustratore). Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 12,05
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Aggiungi al carrelloCondizione: New. Monroe, Elis (illustratore).
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 14,47
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Aggiungi al carrelloCondizione: New. Monroe, Elis (illustratore).
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 15,53
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Aggiungi al carrelloCondizione: As New. Monroe, Elis (illustratore). Unread book in perfect condition.
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Monroe, Elis (illustratore). Paperback. Applied Extreme Value Theory: Modeling Rare Events in Finance, Climate, and Risk is a practical guide for analysts, scientists, and policymakers who need to understand and manage extreme events. From market crashes and catastrophic floods to major insurance losses, this book turns complex statistical theory into actionable tools.Covering sixteen chapters, it begins with foundational probability concepts and the Extremal Types Theorem before moving into core techniques such as Block Maxima and Peaks-Over-Threshold modeling, parameter estimation, diagnostics, and multivariate extensions. Applications are explored in finance, climate science, and risk management, including value-at-risk calculations, stress testing, heatwave projections, and reinsurance pricing.With hands-on implementations in R and Python, detailed case studies, and discussions on non-stationarity and ethical considerations, this book empowers readers to quantify tail risks and make informed, resilient decisions in an uncertain world.Practical guidance on modeling rare events in finance, climate, and risk managementStep-by-step instructions for Block Maxima and Peaks-Over-Threshold methodsParameter estimation, diagnostics, and multivariate extensionsReal-world case studies using R and PythonInsights on non-stationarity, ethics, and emerging research frontiers This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 14,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. Monroe, Elis (illustratore). New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: CitiRetail, Stevenage, Regno Unito
EUR 18,28
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Monroe, Elis (illustratore). Paperback. Applied Extreme Value Theory: Modeling Rare Events in Finance, Climate, and Risk is a practical guide for analysts, scientists, and policymakers who need to understand and manage extreme events. From market crashes and catastrophic floods to major insurance losses, this book turns complex statistical theory into actionable tools.Covering sixteen chapters, it begins with foundational probability concepts and the Extremal Types Theorem before moving into core techniques such as Block Maxima and Peaks-Over-Threshold modeling, parameter estimation, diagnostics, and multivariate extensions. Applications are explored in finance, climate science, and risk management, including value-at-risk calculations, stress testing, heatwave projections, and reinsurance pricing.With hands-on implementations in R and Python, detailed case studies, and discussions on non-stationarity and ethical considerations, this book empowers readers to quantify tail risks and make informed, resilient decisions in an uncertain world.Practical guidance on modeling rare events in finance, climate, and risk managementStep-by-step instructions for Block Maxima and Peaks-Over-Threshold methodsParameter estimation, diagnostics, and multivariate extensionsReal-world case studies using R and PythonInsights on non-stationarity, ethics, and emerging research frontiers This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.