05305nam 2200673Ia 450 991045433510332120200520144314.01-281-86948-197866118694891-86094-975-4(CKB)1000000000537748(EBL)1681540(OCoLC)815742429(SSID)ssj0000130993(PQKBManifestationID)11129153(PQKBTitleCode)TC0000130993(PQKBWorkID)10099460(PQKB)10499215(MiAaPQ)EBC1681540(WSP)0000P226(PPN)168209063(Au-PeEL)EBL1681540(CaPaEBR)ebr10255841(CaONFJC)MIL186948(EXLCZ)99100000000053774820010125d2001 uy 0engur|n|---|||||txtccrCorrelation and dependence[electronic resource] /Dominique Drouet Mari, Samuel KotzLondon Imperial College Press ;River Edge, NJ Distributed by World Scientific Pub. Co.c20011 online resource (236 p.)Description based upon print version of record.1-86094-264-4 Includes bibliographical references (p. 203-215) and index.Contents ; Preface ; Chapter 1 Notations and Definitions ; 1.1 Notations ; 1.2 Definitions ; Chapter 2 Correlation and Dependence : An Introspection ; 2.1 Independence ; 2.2 Zero Correlation Versus Dependence ; 2.3 Some Geometrical Examples ; 2.4 Some Further Historical Remarks2.5 A Brief Tour of Early Applications and Misinterpretations Chapter 3 Concepts of Dependence and Stochastic Ordering ; 3.1 Introduction ; 3.2 Concepts of Positive Dependence ; 3.3 Negative Dependence for More than Two Variables ; 3.4 Setwise Dependence ; 3.5 Other Approaches3.6 Positive Dependence Orderings 3.7 Bayesian Approach to Stochastic Dependence ; Chapter 4 Copulas ; 4.1 Introduction ; 4.2 Definition and Some Properties ; 4.3 The Frechet Bounds ; 4.4 Examples ; 4.5 Construction of a Copula ; 4.6 Archimedean Copulas ; 4.7 Archimax Copulas4.8 Copulas with Discontinuity Constraints 4.9 Copulas with More than Two Variables ; 4.10 Simulation Procedures ; Chapter 5 Farlie-Gumbel-Morgenstern Models of Dependence ; 5.1 Introduction ; 5.2 Initial Definition ; 5.3 Regression and Correlation ; 5.4 Iterations5.5 Dependence Properties 5.6 A Class of n-variate FGM Distributions ; 5.7 Further Extensions ; 5.8 FGM Sequences ; Chapter 6 Global Versus Local Dependence between Random Variables ; 6.1 Introduction ; 6.2 Global Measures of Dependence ; 6.3 Local Indices of Dependence6.4 Non-parametric Estimation of Local Indices The concept of dependence permeates the Earth and its inhabitants in a most profound manner. Examples of interdependent meteorological phenomena in nature and interdependence in the medical, social, and political aspects of our existence, not to mention the economic structures, are too numerous to be cited individually. Moreover, the dependence is obviously not deterministic but of a stochastic nature. However, it seems that none of the departments of statistics, engineering, economics and mathematics in the academic institutions throughout the world offer courses dealing with <i>dependence cCorrelation (Statistics)Dependence (Statistics)Electronic books.Correlation (Statistics)Dependence (Statistics)519.2Mari Dominique Drouet451215Kotz Samuel12052MiAaPQMiAaPQMiAaPQBOOK9910454335103321Correlation and dependence671852UNINA01306nam1 22003253i 450 RMS015340520251003044344.020070927g2001 ||||0itac50 baenggbz01i xxxe z01nˆThe ‰seismic wavefieldB. L. N. KennettCambridge <etc.>Cambridge University pressv.26 cm.001RMS01534072001 ˆ1: ‰Introduction and theoretical developmentB. L. N. Kennett001TSA06457572001 ˆ2: ‰Interpretation of seismograms on regional and global scalesB. L. N. Kennett2SismologiaFIRCFIC014527E551.22Terremoti14Kennett, Brian L. N.UFIV140613070771656ITIT-00000020070927IT-BN0095 NAP 01DOCENTI Comprende testi acquistati con fondi assegnati ai docenti del DSGANAP 01SALA $RMS0153405Biblioteca Centralizzata di Ateneov. 1-2 in due copiev. 2-2 bis 01DOCENTI 551.22 KEN.sev. 1-2 in due copiev. 1-2 01SALA 551.22 KEN.se2 01Seismic wavefield1574825UNISANNIO