00915nam1 22002651 450 00000236620050630115600.0--------d1967----km-y0itay50------baitaITStoria del Partito comunista italianoPaolo Spriano[Torino]Giulio Einaudi editore1967-v.22 cmBiblioteca di cultura storica952001Biblioteca di cultura storica0010000023672001 Da Bordiga a Gramsci0010000023682001 <<Gli >>anni della clandestinità0010000023692001 <<I >>fronti popolari, Stalin, la guerraPartito comunista italianoStoria324.245075Spriano,Paolo128373IT UNIPARTHENOPE RICA UNIMARC000002366Storia del Partito comunista italiano75807UNIPARTHENOPE03666nam 2200637Ia 450 991014469610332120170816115732.01-282-30796-797866123079660-470-31663-20-470-31730-2(CKB)1000000000687538(EBL)468960(OCoLC)264615496(SSID)ssj0000339951(PQKBManifestationID)11256702(PQKBTitleCode)TC0000339951(PQKBWorkID)10383524(PQKB)10232439(MiAaPQ)EBC468960(EXLCZ)99100000000068753819830912d1984 uy 0engur|n|---|||||txtccrLoss distributions[electronic resource] /Robert V. Hogg, Stuart A. Klugman, with the assistance of Charles C. Hewitt and Gary PatrikNew York Wileyc19841 online resource (254 p.)Wiley series in probability and mathematical statisticsDescription based upon print version of record.0-471-87929-0 Includes bibliography and index.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 Estimation3.5. 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, Leveraging5.4. Other Deductibles, Comparisons of Distributions5.5. Limits, Comparisons of Distributions; 5.6. Limits, Layers, Allocated Loss Adjustment Expenses; References; Appendix Characteristics of Selected Distributions; IndexDevoted to the problem of fitting parametric probability distributions to data, this treatment uniquely unifies loss modeling in one book. Data sets used are related to the insurance industry, but can be applied to other distributions. Emphasis is on the distribution of single losses related to claims made against various types of insurance policies. Includes five sets of insurance data as examples.Wiley series in probability and mathematical statistics.InsuranceMathematical modelsInsuranceStatistical methodsElectronic books.InsuranceMathematical models.InsuranceStatistical methods.368368.0101519532368.015Hogg Robert V22385Klugman Stuart A.1949-103763MiAaPQMiAaPQMiAaPQBOOK9910144696103321Loss distributions69174UNINA