01121nam0-2200373li-450 99000016172020331620180312154635.00-387-97918-20016172USA010016172(ALEPH)000016172USA01001617220001109d1993----km-y0itay0103----baengUS<<A>> mathematical introduction to fluid mechanicsAlexandre J. Chorin, Jerrold E. Marsden3rd edNew YorkSpringercopyr. 1993FluidiMeccanica532.CHORIN,Alexandre Joel7789MARSDEN,Jerrold E.Sistema bibliotecario di Ateneo dell' Università di SalernoRICA990000161720203316532 CHO0005710BKTEC1995032120001110USA011712PATTY9020010205USA01133420020403USA011623PATRY9020040406USA011612Mathematical introduction to fluid mechanics1488658UNISA04927nam 22007335 450 991025409780332120250504233854.03-319-31822-510.1007/978-3-319-31822-6(CKB)3710000000734706(DE-He213)978-3-319-31822-6(MiAaPQ)EBC4561879(PPN)194379043(EXLCZ)99371000000073470620160620d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierSeasonal Adjustment Methods and Real Time Trend-Cycle Estimation /by Estela Bee Dagum, Silvia Bianconcini1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XVI, 283 p. 52 illus., 10 illus. in color.)Statistics for Social and Behavioral Sciences,2199-73653-319-31820-9 Includes bibliographical references at the end of each chapters.Introduction -- Time Series Components -- Part I: Seasonal Adjustment Methods -- Seasonal Adjustment: Meaning, Purpose and Methods -- Linear Filters Seasonal Adjustment Methods: Census Method II and its Variants -- Seasonal Adjustment Based on ARIMA Decomposition: TRAMO-SEATS.- Seasonal Adjustment Based on Structural Time Series Models -- Part II: Trend-Cycle Estimation.- Trend-Cycle Estimation.- Further Developments on the Henderson Trend-Cycle Filter.- A Unified View of Trend-Cycle Predictors in Reproducing Kernel Hilbert Spaces (RKHS).- Real Time Trend-Cycle Prediction.- The Effect of Seasonal Adjustment on Real-Time Trend-Cycle Prediction -- Glossary.This book explores widely used seasonal adjustment methods and recent developments in real time trend-cycle estimation. It discusses in detail the properties and limitations of X12ARIMA, TRAMO-SEATS and STAMP - the main seasonal adjustment methods used by statistical agencies.  Several real-world cases illustrate each method and real data examples can be followed throughout the text. The trend-cycle estimation is presented using nonparametric techniques based on moving averages, linear filters and reproducing kernel Hilbert spaces, taking recent advances into account. The book provides a systematical treatment of results that to date have been scattered throughout the literature. Seasonal adjustment and real time trend-cycle prediction play an essential part at all levels of activity in modern economies. They are used by governments to counteract cyclical recessions, by central banks to control inflation, by decision makers for better modeling and planning and by hospitals, manufacturers, builders, transportation, and consumers in general to decide on appropriate action. This book appeals to practitioners in government institutions, finance and business, macroeconomists, and other professionals who use economic data as well as academic researchers in time series analysis, seasonal adjustment methods, filtering and signal extraction. It is also useful for graduate and final-year undergraduate courses in econometrics and time series with a good understanding of linear regression and matrix algebra, as well as ARIMA modelling.Statistics for Social and Behavioral Sciences,2199-7365StatisticsStatisticsSocial sciencesStatistical methodsMacroeconomicsProbabilitiesEconometricsStatistics in Business, Management, Economics, Finance, InsuranceStatistical Theory and MethodsStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public PolicyMacroeconomics and Monetary EconomicsProbability TheoryEconometricsStatistics.Statistics.Social sciencesStatistical methods.Macroeconomics.Probabilities.Econometrics.Statistics in Business, Management, Economics, Finance, Insurance.Statistical Theory and Methods.Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.Macroeconomics and Monetary Economics.Probability Theory.Econometrics.330.0182Bee Dagum Estelaauthttp://id.loc.gov/vocabulary/relators/aut630556Bianconcini Silviaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910254097803321Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation2155976UNINA