01204cam2 22002893 450 SOBE0003954820140127101340.0887750198720140127d2001 |||||ita|0103 baitaIT<<1: >>Introduzione alle scienze psicologicheAntonio ImbasciatiCon la collaborazione di Giorgio Blandino...[et al.]TorinoUTET201XIX, 333 p.24 cmCollana di psicologia001LAEC000151552001 *Collana di psicologia001SOB0175592001 Istituzioni di psicologia / Antonio Imbasciati. Vol. I, Introduzione alle scienze psicologiche. Con la coll. di Giorgio Blandino [et al.]. Vol. II, I grandi temi della ricerca. Con la coll. di Franca Amione [et al.]IMBASCIATI, AntonioAF00018516070ITUNISOB20140127RICAUNISOBUNISOB150111081SOBE00039548M 102 Monografia moderna SBNM150001640-1SI111081rovitoUNISOBUNISOB20140127095648.020140127095742.0rovitoIntroduzione alle scienze psicologiche1713255UNISOB03975nam 22006735 450 991029837950332120250505001337.03-319-04450-810.1007/978-3-319-04450-7(CKB)3710000000143793(EBL)1782160(SSID)ssj0001274355(PQKBManifestationID)11741245(PQKBTitleCode)TC0001274355(PQKBWorkID)11324824(PQKB)10919010(MiAaPQ)EBC1782160(DE-He213)978-3-319-04450-7(PPN)179767100(EXLCZ)99371000000014379320140627d2014 u| 0engur|n|---|||||txtccrClimate Time Series Analysis Classical Statistical and Bootstrap Methods /by Manfred Mudelsee2nd ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (477 p.)Atmospheric and Oceanographic Sciences Library,2215-162X ;51Description based upon print version of record.1-322-13407-3 3-319-04449-4 Includes bibliographical references and indexes.Part I: Fundamental Concepts -- 1 Introduction -- 2 Persistence Models -- 3 Bootstrap Confidence Intervals -- Part II: Univariate Time Series -- 4 Regression I -- 5 Spectral Analysis -- 6. Extreme Value Time Series -- Part III: Bivariate Time Series -- 7 Correlation -- 8 Regression II -- Part IV: Outlook -- 9 Future Directions.Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. “….comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications…accessible to readers with knowledge of college-level calculus and statistics.” (Computers and Geosciences) “A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty…a very useful text for those wishing to understand how to analyse climate time series.” (Journal of Time Series Analysis) “…outstanding. One of the best books on advanced practical time series analysis I have seen.” (David J. Hand, Past-President Royal Statistical Society).Atmospheric and Oceanographic Sciences Library,2215-162X ;51Physical geographyClimatologyStatisticsEarth System SciencesClimate SciencesStatistical Theory and MethodsPhysical geography.Climatology.Statistics.Earth System Sciences.Climate Sciences.Statistical Theory and Methods.551.501176Mudelsee Manfredauthttp://id.loc.gov/vocabulary/relators/aut524964MiAaPQMiAaPQMiAaPQBOOK9910298379503321Climate time series analysis822955UNINA