02667nam 2200565Ia 450 991045561160332120200520144314.01-282-27422-897866122742201-60795-067-7(CKB)2420000000005434(EBL)3386916(SSID)ssj0000298410(PQKBManifestationID)11239497(PQKBTitleCode)TC0000298410(PQKBWorkID)10344099(PQKB)11518673(MiAaPQ)EBC3386916(Au-PeEL)EBL3386916(CaPaEBR)ebr10409649(OCoLC)923337394(EXLCZ)99242000000000543420070116d2008 uy 0engurcn|||||||||txtccrHeadache in children and adolescents[electronic resource] /Paul Winner, Donald W. Lewis, A. David Rothner2nd ed.Hamilton, Ont. ;London B C Decker20081 online resource (200 p.)Description based upon print version of record.1-55009-271-5 ""Title and Front matter""; ""Contents""; ""Preface""; ""Introduction""; ""1. Epidemiology and Classification of Headache""; ""2. Evaluation of Headache""; ""3. Migraine and the Childhood Periodic Syndromes""; ""4. Other Primary Headaches in Children and Adolescents""; ""5. Video Demonstration of Headache Disorders""; ""6. Genetics of Migraine Headache""; ""7. Migraine Pathophysiology""; ""8. Chronic Daily Headache in Children and Adolescents""; ""9. Cluster and the Trigeminal Autonomic Cephalalgias""; ""10. Secondary Headaches in Children and Adolescents""""11. Medical Causes of Headache""""12. Epilepsy and Migraine Headache""; ""13. Post-traumatic Headache""; ""14. Pharmacologic Treatment of Headache""; ""15. Nonpharmacologic Treatment of Headache: Hidden Opportunities""; ""16. Complementary and Alternative Treatments for Childhood Headaches""; ""17. Headache in the Pediatric Emergency Department""; ""18. Menstrual Migraine and Other Headache Issues in Female Children and Adolescents""; ""Appendix""; ""Glossary""; ""Index""Headache in childrenHeadache in adolescenceElectronic books.Headache in children.Headache in adolescence.618.928491Winner PaulDO.887826MiAaPQMiAaPQMiAaPQBOOK9910455611603321Headache in children and adolescents1983199UNINA03760nam 22006015 450 991034932120332120251113174316.09783030258207303025820310.1007/978-3-030-25820-7(CKB)4100000009191103(DE-He213)978-3-030-25820-7(MiAaPQ)EBC5924586(PPN)258306394(MiAaPQ)EBC31862526(Au-PeEL)EBL31862526(EXLCZ)99410000000919110320190903d2019 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierEffective Statistical Learning Methods for Actuaries I GLMs and Extensions /by Michel Denuit, Donatien Hainaut, Julien Trufin1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XVI, 441 p. 82 illus., 23 illus. in color.)Springer Actuarial Lecture Notes,2523-32979783030258191 303025819X Preface -- Part I: LOSS MODELS.-1. Insurance Risk Classification.-Exponential Dispersion (ED) Distributions.-3.-Maximum Likelihood Estimation.-Part II LINEAR MODELS.-4. Generalized Linear Models (GLMs) -- 5.-Over-dispersion, credibility adjustments, mixed models, and regularization.-Part III ADDITIVE MODELS -- 6 Generalized Additive Models (GAMs) -- 7. Beyond Mean Modeling: Double GLMs and GAMs for Location, Scale and Shape (GAMLSS) -- Part IV SPECIAL TOPICS -- 8. Some Generalized Non-Linear Models (GNMs) -- 9 Extreme Value Models -- References.This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities. The exposition alternates between methodological aspects and case studies, providing numerical illustrations using the R statistical software. The technical prerequisites are kept at a reasonable level in order to reach a broad readership. This is the first of three volumes entitled Effective Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurancedata analytics with applications to P&C, life and health insurance. Although closely related to the other two volumes, this volume can be read independently.Springer Actuarial Lecture Notes,2523-3297Actuarial scienceStatisticsActuarial MathematicsStatistics in Business, Management, Economics, Finance, InsuranceActuarial science.Statistics.Actuarial Mathematics.Statistics in Business, Management, Economics, Finance, Insurance.368.01368.01Denuit Michelauthttp://id.loc.gov/vocabulary/relators/aut781288Hainaut Donatienauthttp://id.loc.gov/vocabulary/relators/autTrufin Julienauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910349321203321Effective Statistical Learning Methods for Actuaries I2541023UNINA