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Applied Modeling Techniques and Data Analysis 2 Financial, Demographic, Stochastic and Statistical Models and Methods.
This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 001 | EBOOKCENTRAL_on1244626230 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 210403s2021 xx o ||| 0 eng d | ||
| 040 | |a EBLCP |b eng |c EBLCP |d LIV |d OCLCQ |d OCLCL |d REDDC |d OCLCO | ||
| 020 | |a 9781119821632 | ||
| 020 | |a 1119821630 | ||
| 035 | |a (OCoLC)1244626230 | ||
| 050 | 1 | 4 | |a QA276-280 |b .D56 2021 |
| 082 | 0 | 4 | |a 519.5 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Dimotikalis, Yannis. | |
| 245 | 1 | 0 | |a Applied Modeling Techniques and Data Analysis 2 |h [electronic resource] : |b Financial, Demographic, Stochastic and Statistical Models and Methods. |
| 260 | |a Newark : |b John Wiley & Sons, Incorporated, |c 2021. | ||
| 300 | |a 1 online resource (289 p.) | ||
| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- Part 1. Financial and Demographic Modeling Techniques -- Chapter 1. Data Mining Application Issues in the Taxpayer Selection Process -- 1.1. Introduction -- 1.2. Materials and methods -- 1.2.1. Data -- 1.2.2. Interesting taxpayers -- 1.2.3. Enforced tax recovery proceedings -- 1.2.4. The models -- 1.3. Results -- 1.4. Discussion -- 1.5. Conclusion -- 1.6. References -- Chapter 2: Asymptotics of Implied Volatility in the Gatheral Double Stochastic Volatility Model -- 2.1. Introduction -- 2.2. The results | |
| 505 | 8 | |a 2.3. Proofs -- 2.4. References -- Chapter 3: New Dividend Strategies -- 3.1. Introduction -- 3.2. Model 1 -- 3.3. Model 2 -- 3.4. Conclusion and further results -- 3.5. Acknowledgments -- 3.6. References -- Chapter 4: Introduction of Reserves in Self-adjusting Steering of Parameters of a Pay-As-You-Go Pension Plan -- 4.1. Introduction -- 4.2. The pension system -- 4.3. Theoretical framework of the Musgrave rule -- 4.4. Transformation of the retirement fund -- 4.5. Conclusion -- 4.6. References -- Chapter 5: Forecasting Stochastic Volatility for Exchange Rates using EWMA -- 5.1. Introduction | |
| 505 | 8 | |a 5.2. Data -- 5.3. Empirical model -- 5.4. Exchange rate volatility forecasting -- 5.5. Conclusion -- 5.6. Acknowledgments -- 5.7. References -- Chapter 6: An Arbitrage-free Large Market Model for Forward Spread Curves -- 6.1. Introduction and background -- 6.1.1. Term-structure (interest rate) models -- 6.1.2. Forward-rate models versus spot-rate models -- 6.1.3. The Heath-Jarrow-Morton framework -- 6.1.4. Construction of our model -- 6.2. Construction of a market with infinitely many assets -- 6.2.1. The Cuchiero-Klein-Teichmann approach | |
| 505 | 8 | |a 6.2.2. Adapting Cuchiero-Klein-Teichmann's results to our objective -- 6.3. Existence, uniqueness and non-negativity -- 6.3.1. Existence and uniqueness: mild -- 6.3.2. Non-negativity of solutions -- 6.4. Conclusion and future works -- 6.5. References -- Chapter 7: Estimating the Healthy Life Expectancy (HLE) in the Far Past: The Case of Sweden (1751-2016) with Forecasts to 2060 -- 7.1. Life expectancy and healthy life expectancy estimates -- 7.2. The logistic model -- 7.3. The HALE estimates and our direct calculations -- 7.4. Conclusion -- 7.5. References | |
| 505 | 8 | |a Chapter 8: Vaccination Coverage Against Seasonal Influenza of Workers in the Primary Health Care Units in the Prefecture of Chania -- 8.1. Introduction -- 8.2. Material and method -- 8.3. Results -- 8.4. Discussion -- 8.5. References -- Chapter 9: Some Remarks on the Coronavirus Pandemic in Europe -- 9.1. Introduction -- 9.2. Background -- 9.2.1. CoV pathogens -- 9.2.2. Clinical characteristics of COVID-19 -- 9.2.3. Diagnosis -- 9.2.4. Epidemiology and transmission of COVID-19 -- 9.2.5. Country response measures -- 9.2.6. The role of statistical research in the case of COVID-19 and its challenges | |
| 500 | |a 9.3. Materials and analyses. | ||
| 520 | |a This book includes the most recent advances on this topic, meeting increasing demand from wide circles of the scientific community. -- |c Edited summary from book. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Data mining. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 700 | 1 | |a Karagrigoriou, Alex. | |
| 700 | 1 | |a Parpoula, Christina. | |
| 700 | 1 | |a Skiadas, Christos H. | |
| 758 | |i has work: |a Applied modeling techniques and data analysis 2 (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGJQfgryKv9hdxm36jtBj3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Dimotikalis, Yannis |t Applied Modeling Techniques and Data Analysis 2 |d Newark : John Wiley & Sons, Incorporated,c2021 |z 9781786306746 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6528141 |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6528141 | ||
| 994 | |a 92 |b IZTAP | ||