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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
Introductory stochastic analysis for finance and insurance [[electronic resource] /] / X. Sheldon Lin
Introductory stochastic analysis for finance and insurance [[electronic resource] /] / X. Sheldon Lin
Autore Lin X. Sheldon
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2006
Descrizione fisica 1 online resource (250 p.)
Disciplina 332.01/51923
368.010151922
Collana Wiley series in probability and statistics
Soggetto topico Finance - Mathematical models
Insurance - Mathematical models
Stochastic analysis
ISBN 1-280-41150-3
9786610411504
0-470-36217-0
0-471-79321-3
0-471-79320-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introductory Stochastic Analysis for Finance and InsuranceIntroductory Stochastic Analysis for Finance and Insurance; CONTENTS; List of Figures; List of Tables; Preface; 1 Introduction; 2 Overview of Probability Theory; 2.1 Probability Spaces and Information Structures; 2.2 Random Variables, Moments and Transforms; LIST OF FIGURES; 2.1. The price of a stock over a two-day period.; 2.3 Multivariate Distributions; 2.4 Conditional Probability and Conditional Distributions; 2.2. The probability tree of the stock price over a two-day period.; 2.5 Conditional Expectation
2.3. The expectation tree of the stock price over a two-day period.2.6 The Central Limit Theorem; 3 Discrete-Time Stochastic Processes; 3.1 Stochastic Processes and Information Structures; 3.2 Random Walks; 3.1. The tree of a standard random walk.; 3.2. The binomial model of the stock price.; 3.3 Discrete-Time Markov Chains; 3.3. The binomial tree of the stock price.; 3.4 Martingales and Change of Probability Measure; 3.5 Stopping Times; 3.6 Option Pricing with Binomial Models; 3.4. The returns of a stock and a bond.; 3.5. The payoff function of a call.; 3.6. The payoff function of a put.
3.7. The payoff function of a strangle.3.7 Binomial Interest Rate Models; LIST OF TABLES; 3.1. A sample of quotes on U.S. Treasuries.; 3.8. Treasury yield curve, Treasury zero curve, and Treasury forward rate curve based on the quotes in Table 3.1.; 3.2. The market term structure.; 3.9. Constructing a short rate tree: step one.; 3.10. Constructing a short rate tree: step two.; 3.11. The complete short rate tree.; 4 Continuous-Time Stochastic Processes; 4.1 General Description of Continuous-Time Stochastic Processes; 4.2 Brownian Motion
4.1. A sample path of standard Brownian motion (μ = 0 and σ = 1).4.3 The Reflection Principle and Barrier Hitting Probabilities; 4.2. A sample path of Brownian motion with μ = 1 and σ = 1.; 4.3. A sample path of Brownian motion with μ = -1 and σ = 1.; 4.4. A sample path of Brownian motion with μ = 0 and σ = 2.; 4.5. A sample path of Brownian motion with μ = 0 and σ = 0.5.; 4.6. A path of standard Brownian motion reflected after hitting.; 4.7. A path of standard Brownian motion reflected before hitting.; 4.4 The Poisson Process and Compound Poisson Process
4.8. A sample path of a compound Poisson process.4.9. A sample path of the shifted Poisson process {Xτ(t)}.; 4.5 Martingales; 4.6 Stopping Times and the Optional Sampling Theorem; 5 Stochastic Calculus: Basic Topics; 5.1 Stochastic (Ito) Integration; 5.2 Stochastic Differential Equations; 5.3 One-Dimensional Ito's Lemma; 5.1. The product rules in stochastic calculus.; 5.4 Continuous-Time Interest Rate Models; 5.5 The Black-Scholes Model and Option Pricing Formula; 5.6 The Stochastic Version of Integration by Parts; 5.7 Exponential Martingales; 5.8 The Martingale Representation Theorem
6 Stochastic Calculus: Advanced Topics
Record Nr. UNINA-9910145033603321
Lin X. Sheldon  
Hoboken, N.J., : John Wiley, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introductory stochastic analysis for finance and insurance [[electronic resource] /] / X. Sheldon Lin
Introductory stochastic analysis for finance and insurance [[electronic resource] /] / X. Sheldon Lin
Autore Lin X. Sheldon
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2006
Descrizione fisica 1 online resource (250 p.)
Disciplina 332.01/51923
368.010151922
Collana Wiley series in probability and statistics
Soggetto topico Finance - Mathematical models
Insurance - Mathematical models
Stochastic analysis
ISBN 1-280-41150-3
9786610411504
0-470-36217-0
0-471-79321-3
0-471-79320-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introductory Stochastic Analysis for Finance and InsuranceIntroductory Stochastic Analysis for Finance and Insurance; CONTENTS; List of Figures; List of Tables; Preface; 1 Introduction; 2 Overview of Probability Theory; 2.1 Probability Spaces and Information Structures; 2.2 Random Variables, Moments and Transforms; LIST OF FIGURES; 2.1. The price of a stock over a two-day period.; 2.3 Multivariate Distributions; 2.4 Conditional Probability and Conditional Distributions; 2.2. The probability tree of the stock price over a two-day period.; 2.5 Conditional Expectation
2.3. The expectation tree of the stock price over a two-day period.2.6 The Central Limit Theorem; 3 Discrete-Time Stochastic Processes; 3.1 Stochastic Processes and Information Structures; 3.2 Random Walks; 3.1. The tree of a standard random walk.; 3.2. The binomial model of the stock price.; 3.3 Discrete-Time Markov Chains; 3.3. The binomial tree of the stock price.; 3.4 Martingales and Change of Probability Measure; 3.5 Stopping Times; 3.6 Option Pricing with Binomial Models; 3.4. The returns of a stock and a bond.; 3.5. The payoff function of a call.; 3.6. The payoff function of a put.
3.7. The payoff function of a strangle.3.7 Binomial Interest Rate Models; LIST OF TABLES; 3.1. A sample of quotes on U.S. Treasuries.; 3.8. Treasury yield curve, Treasury zero curve, and Treasury forward rate curve based on the quotes in Table 3.1.; 3.2. The market term structure.; 3.9. Constructing a short rate tree: step one.; 3.10. Constructing a short rate tree: step two.; 3.11. The complete short rate tree.; 4 Continuous-Time Stochastic Processes; 4.1 General Description of Continuous-Time Stochastic Processes; 4.2 Brownian Motion
4.1. A sample path of standard Brownian motion (μ = 0 and σ = 1).4.3 The Reflection Principle and Barrier Hitting Probabilities; 4.2. A sample path of Brownian motion with μ = 1 and σ = 1.; 4.3. A sample path of Brownian motion with μ = -1 and σ = 1.; 4.4. A sample path of Brownian motion with μ = 0 and σ = 2.; 4.5. A sample path of Brownian motion with μ = 0 and σ = 0.5.; 4.6. A path of standard Brownian motion reflected after hitting.; 4.7. A path of standard Brownian motion reflected before hitting.; 4.4 The Poisson Process and Compound Poisson Process
4.8. A sample path of a compound Poisson process.4.9. A sample path of the shifted Poisson process {Xτ(t)}.; 4.5 Martingales; 4.6 Stopping Times and the Optional Sampling Theorem; 5 Stochastic Calculus: Basic Topics; 5.1 Stochastic (Ito) Integration; 5.2 Stochastic Differential Equations; 5.3 One-Dimensional Ito's Lemma; 5.1. The product rules in stochastic calculus.; 5.4 Continuous-Time Interest Rate Models; 5.5 The Black-Scholes Model and Option Pricing Formula; 5.6 The Stochastic Version of Integration by Parts; 5.7 Exponential Martingales; 5.8 The Martingale Representation Theorem
6 Stochastic Calculus: Advanced Topics
Record Nr. UNINA-9910831197103321
Lin X. Sheldon  
Hoboken, N.J., : John Wiley, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introductory stochastic analysis for finance and insurance / / X. Sheldon Lin
Introductory stochastic analysis for finance and insurance / / X. Sheldon Lin
Autore Lin X. Sheldon
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2006
Descrizione fisica 1 online resource (250 p.)
Disciplina 332.01/51923
Collana Wiley series in probability and statistics
Soggetto topico Finance - Mathematical models
Insurance - Mathematical models
Stochastic analysis
ISBN 9786610411504
9781280411502
1280411503
9780470362174
0470362170
9780471793212
0471793213
9780471793205
0471793205
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introductory Stochastic Analysis for Finance and InsuranceIntroductory Stochastic Analysis for Finance and Insurance; CONTENTS; List of Figures; List of Tables; Preface; 1 Introduction; 2 Overview of Probability Theory; 2.1 Probability Spaces and Information Structures; 2.2 Random Variables, Moments and Transforms; LIST OF FIGURES; 2.1. The price of a stock over a two-day period.; 2.3 Multivariate Distributions; 2.4 Conditional Probability and Conditional Distributions; 2.2. The probability tree of the stock price over a two-day period.; 2.5 Conditional Expectation
2.3. The expectation tree of the stock price over a two-day period.2.6 The Central Limit Theorem; 3 Discrete-Time Stochastic Processes; 3.1 Stochastic Processes and Information Structures; 3.2 Random Walks; 3.1. The tree of a standard random walk.; 3.2. The binomial model of the stock price.; 3.3 Discrete-Time Markov Chains; 3.3. The binomial tree of the stock price.; 3.4 Martingales and Change of Probability Measure; 3.5 Stopping Times; 3.6 Option Pricing with Binomial Models; 3.4. The returns of a stock and a bond.; 3.5. The payoff function of a call.; 3.6. The payoff function of a put.
3.7. The payoff function of a strangle.3.7 Binomial Interest Rate Models; LIST OF TABLES; 3.1. A sample of quotes on U.S. Treasuries.; 3.8. Treasury yield curve, Treasury zero curve, and Treasury forward rate curve based on the quotes in Table 3.1.; 3.2. The market term structure.; 3.9. Constructing a short rate tree: step one.; 3.10. Constructing a short rate tree: step two.; 3.11. The complete short rate tree.; 4 Continuous-Time Stochastic Processes; 4.1 General Description of Continuous-Time Stochastic Processes; 4.2 Brownian Motion
4.1. A sample path of standard Brownian motion (μ = 0 and σ = 1).4.3 The Reflection Principle and Barrier Hitting Probabilities; 4.2. A sample path of Brownian motion with μ = 1 and σ = 1.; 4.3. A sample path of Brownian motion with μ = -1 and σ = 1.; 4.4. A sample path of Brownian motion with μ = 0 and σ = 2.; 4.5. A sample path of Brownian motion with μ = 0 and σ = 0.5.; 4.6. A path of standard Brownian motion reflected after hitting.; 4.7. A path of standard Brownian motion reflected before hitting.; 4.4 The Poisson Process and Compound Poisson Process
4.8. A sample path of a compound Poisson process.4.9. A sample path of the shifted Poisson process {Xτ(t)}.; 4.5 Martingales; 4.6 Stopping Times and the Optional Sampling Theorem; 5 Stochastic Calculus: Basic Topics; 5.1 Stochastic (Ito) Integration; 5.2 Stochastic Differential Equations; 5.3 One-Dimensional Ito's Lemma; 5.1. The product rules in stochastic calculus.; 5.4 Continuous-Time Interest Rate Models; 5.5 The Black-Scholes Model and Option Pricing Formula; 5.6 The Stochastic Version of Integration by Parts; 5.7 Exponential Martingales; 5.8 The Martingale Representation Theorem
6 Stochastic Calculus: Advanced Topics
Record Nr. UNINA-9911020322303321
Lin X. Sheldon  
Hoboken, N.J., : John Wiley, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Autore Hogg Robert V
Pubbl/distr/stampa New York, : Wiley, c1984
Descrizione fisica 1 online resource (254 p.)
Disciplina 368
368.0101519532
368.015
Altri autori (Persone) KlugmanStuart A. <1949->
Collana Wiley series in probability and mathematical statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-282-30796-7
9786612307966
0-470-31663-2
0-470-31730-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto LOSS DISTRIBUTIONS; Contents; 1. Introduction; 1.1. Basic Terminology; 1.2. Coverage Limitations; 1.3. Evaluation of Coverage Limitations; 1.4. Data Collection and Modeling; 2. Models for Random Variables; 2.1. Models; 2.2. The Poisson Process and Related Models; 2.3. Models for Joint Random Variables; 2.4. Normal Models; 2.5. Linear Functions of Random Variables; 2.6. Functions of Random Variables; 2.7. The Mixture of Models; 3. Statistical Inference; 3.1. Model-Free Estimation of Distributions; 3.2. Estimating Distributions by Simulation; 3.3. Point Estimation; 3.4. Interval Estimation
3.5. Tests of Statistical Hypotheses3.6. Testing the Fit of Models; 3.7. Applications and Associated Algorithms; 4. Modeling Loss Distributions; 4.1. Introduction; 4.2. Ungrouped Data, Truncation from Below; 4.3. Grouped Data, Mixture of Models; 4.4. Truncated and Shifted Data, Mixture of Models; 4.5. Clustering, Truncation from Above, Combining Samples; 4.6. A Bivariate Model; 4.7. A Review of the Modeling Process; 5. Applications of Distributional Models; 5.1. Introduction; 5.2. Inflation, Percentile Estimation; 5.3. Deductibles, Leveraging
5.4. Other Deductibles, Comparisons of Distributions5.5. Limits, Comparisons of Distributions; 5.6. Limits, Layers, Allocated Loss Adjustment Expenses; References; Appendix Characteristics of Selected Distributions; Index
Record Nr. UNINA-9910144696103321
Hogg Robert V  
New York, : Wiley, c1984
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Autore Hogg Robert V
Pubbl/distr/stampa New York, : Wiley, c1984
Descrizione fisica 1 online resource (254 p.)
Disciplina 368
368.0101519532
368.015
Altri autori (Persone) KlugmanStuart A. <1949->
Collana Wiley series in probability and mathematical statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
ISBN 1-282-30796-7
9786612307966
0-470-31663-2
0-470-31730-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto LOSS DISTRIBUTIONS; Contents; 1. Introduction; 1.1. Basic Terminology; 1.2. Coverage Limitations; 1.3. Evaluation of Coverage Limitations; 1.4. Data Collection and Modeling; 2. Models for Random Variables; 2.1. Models; 2.2. The Poisson Process and Related Models; 2.3. Models for Joint Random Variables; 2.4. Normal Models; 2.5. Linear Functions of Random Variables; 2.6. Functions of Random Variables; 2.7. The Mixture of Models; 3. Statistical Inference; 3.1. Model-Free Estimation of Distributions; 3.2. Estimating Distributions by Simulation; 3.3. Point Estimation; 3.4. Interval Estimation
3.5. Tests of Statistical Hypotheses3.6. Testing the Fit of Models; 3.7. Applications and Associated Algorithms; 4. Modeling Loss Distributions; 4.1. Introduction; 4.2. Ungrouped Data, Truncation from Below; 4.3. Grouped Data, Mixture of Models; 4.4. Truncated and Shifted Data, Mixture of Models; 4.5. Clustering, Truncation from Above, Combining Samples; 4.6. A Bivariate Model; 4.7. A Review of the Modeling Process; 5. Applications of Distributional Models; 5.1. Introduction; 5.2. Inflation, Percentile Estimation; 5.3. Deductibles, Leveraging
5.4. Other Deductibles, Comparisons of Distributions5.5. Limits, Comparisons of Distributions; 5.6. Limits, Layers, Allocated Loss Adjustment Expenses; References; Appendix Characteristics of Selected Distributions; Index
Record Nr. UNINA-9910644053703321
Hogg Robert V  
New York, : Wiley, c1984
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Loss distributions [[electronic resource] /] / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Autore Hogg Robert V
Pubbl/distr/stampa New York, : Wiley, c1984
Descrizione fisica 1 online resource (254 p.)
Disciplina 368
368.0101519532
368.015
Altri autori (Persone) KlugmanStuart A. <1949->
Collana Wiley series in probability and mathematical statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
ISBN 1-282-30796-7
9786612307966
0-470-31663-2
0-470-31730-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto LOSS DISTRIBUTIONS; Contents; 1. Introduction; 1.1. Basic Terminology; 1.2. Coverage Limitations; 1.3. Evaluation of Coverage Limitations; 1.4. Data Collection and Modeling; 2. Models for Random Variables; 2.1. Models; 2.2. The Poisson Process and Related Models; 2.3. Models for Joint Random Variables; 2.4. Normal Models; 2.5. Linear Functions of Random Variables; 2.6. Functions of Random Variables; 2.7. The Mixture of Models; 3. Statistical Inference; 3.1. Model-Free Estimation of Distributions; 3.2. Estimating Distributions by Simulation; 3.3. Point Estimation; 3.4. Interval Estimation
3.5. Tests of Statistical Hypotheses3.6. Testing the Fit of Models; 3.7. Applications and Associated Algorithms; 4. Modeling Loss Distributions; 4.1. Introduction; 4.2. Ungrouped Data, Truncation from Below; 4.3. Grouped Data, Mixture of Models; 4.4. Truncated and Shifted Data, Mixture of Models; 4.5. Clustering, Truncation from Above, Combining Samples; 4.6. A Bivariate Model; 4.7. A Review of the Modeling Process; 5. Applications of Distributional Models; 5.1. Introduction; 5.2. Inflation, Percentile Estimation; 5.3. Deductibles, Leveraging
5.4. Other Deductibles, Comparisons of Distributions5.5. Limits, Comparisons of Distributions; 5.6. Limits, Layers, Allocated Loss Adjustment Expenses; References; Appendix Characteristics of Selected Distributions; Index
Record Nr. UNINA-9910830084103321
Hogg Robert V  
New York, : Wiley, c1984
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss distributions / / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Loss distributions / / Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary Patrik
Autore Hogg Robert V
Pubbl/distr/stampa New York, : Wiley, c1984
Descrizione fisica 1 online resource (254 p.)
Disciplina 368
368.0101519532
368.015
Altri autori (Persone) KlugmanStuart A. <1949->
Collana Wiley series in probability and mathematical statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
ISBN 9786612307966
9781282307964
1282307967
9780470316634
0470316632
9780470317303
0470317302
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto LOSS DISTRIBUTIONS; Contents; 1. Introduction; 1.1. Basic Terminology; 1.2. Coverage Limitations; 1.3. Evaluation of Coverage Limitations; 1.4. Data Collection and Modeling; 2. Models for Random Variables; 2.1. Models; 2.2. The Poisson Process and Related Models; 2.3. Models for Joint Random Variables; 2.4. Normal Models; 2.5. Linear Functions of Random Variables; 2.6. Functions of Random Variables; 2.7. The Mixture of Models; 3. Statistical Inference; 3.1. Model-Free Estimation of Distributions; 3.2. Estimating Distributions by Simulation; 3.3. Point Estimation; 3.4. Interval Estimation
3.5. Tests of Statistical Hypotheses3.6. Testing the Fit of Models; 3.7. Applications and Associated Algorithms; 4. Modeling Loss Distributions; 4.1. Introduction; 4.2. Ungrouped Data, Truncation from Below; 4.3. Grouped Data, Mixture of Models; 4.4. Truncated and Shifted Data, Mixture of Models; 4.5. Clustering, Truncation from Above, Combining Samples; 4.6. A Bivariate Model; 4.7. A Review of the Modeling Process; 5. Applications of Distributional Models; 5.1. Introduction; 5.2. Inflation, Percentile Estimation; 5.3. Deductibles, Leveraging
5.4. Other Deductibles, Comparisons of Distributions5.5. Limits, Comparisons of Distributions; 5.6. Limits, Layers, Allocated Loss Adjustment Expenses; References; Appendix Characteristics of Selected Distributions; Index
Record Nr. UNINA-9911019155003321
Hogg Robert V  
New York, : Wiley, c1984
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss models [[electronic resource] ] : further topics / / Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
Loss models [[electronic resource] ] : further topics / / Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
Autore Klugman Stuart A. <1949->
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Descrizione fisica xii, 348 p. : ill
Disciplina 368/.01
Altri autori (Persone) PanjerHarry H
WillmotGordon E. <1957->
Collana Wiley series in probability and statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
ISBN 1-118-57374-9
1-118-78710-2
1-118-57368-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910796097603321
Klugman Stuart A. <1949->  
Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Loss models : further topics / / Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
Loss models : further topics / / Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
Autore Klugman Stuart A. <1949->
Pubbl/distr/stampa Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Descrizione fisica xii, 348 p. : ill
Disciplina 368/.01
Altri autori (Persone) PanjerHarry H
WillmotGordon E. <1957->
Collana Wiley series in probability and statistics
Soggetto topico Insurance - Mathematical models
Insurance - Statistical methods
ISBN 9781118573747
1118573749
9781118787106
1118787102
9781118573686
1118573684
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910960761803321
Klugman Stuart A. <1949->  
Hoboken, N.J., : John Wiley & Sons, Inc., 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui