LEADER 01924nam1 2200373 i 450 001 SUN0065333 005 20080902120000.0 100 $a20080829d1983 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aˆI ‰fondamenti della salute$fPaul M. Insel, Walton T. Roth$ga cura di Carlo Vetere 205 $aRoma : A. Armando$bc1983 210 $d4 v. : ill. ; 22 cm 215 $aTrad. di Donatella Izzo, Giulia Falconi Nicoletti. 410 1$1001SUN0065334$12001 $aMedicina oggi$v5$1210 $aRoma$cArmando. 454 1$1001SUN0080155$12001 $a*Core concepts in health.$937442 463 \1$1001SUN0065335$12001 $a<<1: >>Introduzione, stress ed ambiente sociale, l'ambiente fisico, salute mentale e malattia mentale, invecchiare bene 463 \1$1001SUN0065337$12001 $a<<2: >>Medicina mode e ciarlataneria, la diagnosi medica, malattie cardiocircolatorie, tecniche di rianimazione cardiorespiratorie, il cancro, il consumatore di prodotti per la salute, farmaci su prescrizione e farmaci da banco 463 \1$1001SUN0065339$12001 $a<<3: >>Differenze sessuali, ruoli sessuali e vita di coppia, risposte agli stimoli sessuali, malattie a trasmissione sessuale, il controllo delle nascite, il parto, il ruolo dei 463 \1$1001SUN0065342$12001 $a<<4: Il >>tabacco, l'alcol, le droghe psicoattive, la nutrizione, la dieta ed il controllo del peso, l'esercizio fisico 606 $aSalute$2FI$3SUNC009380 620 $dRoma$3SUNL000360 676 $a613$v21 700 1$aInsel$b, Paul M.$3SUNV051928$0158146 701 1$aRoth$b, Walton T.$3SUNV051929$0158147 702 1$aVetere$b, Carlo$3SUNV051930 702 1$aIzzo$b, Donatella$3SUNV051959 702 1$aFalconi Nicoletti$b, Giulia$3SUNV051960 712 $aArmando$3SUNV000250$4650 801 $aIT$bSOL$c20181109$gRICA 912 $aSUN0065333 996 $aCore concepts in health$937442 997 $aUNICAMPANIA LEADER 05424nam 2200685Ia 450 001 9910458399803321 005 20200520144314.0 010 $a1-281-74938-9 010 $a9786611749385 010 $a0-08-054156-9 035 $a(CKB)1000000000384925 035 $a(EBL)344689 035 $a(OCoLC)476160832 035 $a(SSID)ssj0000249601 035 $a(PQKBManifestationID)12076920 035 $a(PQKBTitleCode)TC0000249601 035 $a(PQKBWorkID)10205972 035 $a(PQKB)10677521 035 $a(MiAaPQ)EBC344689 035 $a(Au-PeEL)EBL344689 035 $a(CaPaEBR)ebr10244424 035 $a(CaONFJC)MIL174938 035 $a(EXLCZ)991000000000384925 100 $a19950622d1995 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe spectral analysis of time series$b[electronic resource] /$fLambert H. Koopmans 205 $a[2nd ed.]. 210 $aSan Diego $cAcademic Press$dc1995 215 $a1 online resource (385 p.) 225 1 $aProbability and mathematical statistics ;$vv. 22 300 $aDescription based upon print version of record. 311 $a0-12-419251-3 320 $aIncludes bibliographical references (p. 354-358) and index. 327 $aFront Cover; The Spectral Analysis of Time Series; Copyright Page; Contents; Preface; Acknowledgements; Preface to the Second Edition; Chapter 1. Preliminaries; 1.1 Introduction; 1.2 Time Series and Spectra; 1.3 Summary of Vector Space Geometry; 1.4 Some Probability Notations and Properties; Chapter 2. Models for Spectral Analysis-The Univariate Case; 2.1 Introduction; 2.2 The Wiener Theory of Spectral Analysis; 2.3 Stationary and Weakly Stationary Stochastic Processes; 2.4 The Spectral Representation for Weakly Stationary Stochastic Processes-A Special Case 327 $a2.5 The General Spectral Representation for Weakly Stationary Processes2.6 The Discrete and Continuous Components of the Process; 2.7 Physical Realization of the Different Kinds of Spectra; 2.8 The Real Spectral Representation; 2.9 Ergodicity and the Connection between the Wiener and Stationary Process Theories; 2.10 Statistical Estimation of the Autocovariance and the Mean Ergodic Theorem; Appendix to Chapter 2; Chapter 3. Sampling, Aliasing, and Discrete-Time Models; 3.1 Introduction; 3.2 Sampling and the Aliasing Problem; 3.3 The Spectral Model for Discrete-Time Series 327 $aChapter 4. Linear Filters-General Properties with Applications to Continuous-Time Processes4.1 Introduction; 4.2 Linear Filters; 4.3 Combining Linear Filters; 4.4 Inverting Linear Filters; 4.5 Nonstationary Processes Generated by Time Varying Linear Filters; Appendix to Chapter 4; Chapter 5. Multivariate Spectral Models and Their Applications; 5.1 Introduction; 5.2 The Spectrum of a Multivariate Time Series-Wiener Theory; 5.3 Multivariate Weakly Stationary Stochastic Processes; 5.4 Linear Filters for Multivariate Time Series 327 $a5.5 The Bivariate Spectral Parameters, Their Intepretations and Uses5.6 The Multivariate Spectral Parameters, Their Interpretations and Uses; Appendix to Chapter 5; Chapter 6. Digital Filters; 6.1 Introduction; 6.2 General Properties of Digital Filters; 6.3 The Effect of Finite Data Length; 6.4 Digital Filters with Finitely Many Nonzero Weights; 6.5 Digital Filters Obtained by Combining Simple Filters; 6.6 Filters with Gapped Weights and Results Concerning the Filtering of Series with Polynomial Trends; Appendix to Chapter 6 327 $aChapter 7. Finite Parameter Models, Linear Prediction, and Real-Time Filtering7.1 Introduction; 7.2 Moving Averages; 7.3 Autoregressive Processes; 7.4 The Linear Prediction Problem; 7.5 Mixed Autoregressive-Moving Average Processes and Recursive Prediction; 7.6 Linear Filtering in Real Time; Appendix to Chapter 7; Chapter 8. The Distribution Theory of Spectral Estimates with Applications to Statistical Inference; 8.1 Introduction; 8.2 Distribution of the Finite Fourier Transform and the Periodogram; 8.3 Distribution Theory for Univariate Spectral Estimators 327 $a8.4 Distribution Theory for Multivariate Spectral Estimators with Applications to Statistical Inference 330 $aTo tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unifi 410 0$aProbability and mathematical statistics ;$vv. 22. 606 $aSpectral theory (Mathematics) 606 $aTime-series analysis 608 $aElectronic books. 615 0$aSpectral theory (Mathematics) 615 0$aTime-series analysis. 676 $a519.5/5 676 $a519.55 700 $aKoopmans$b Lambert Herman$f1930-$0252848 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458399803321 996 $aSpectral analysis of time series$9439719 997 $aUNINA LEADER 02067oam 2200625Ka 450 001 9910712941103321 005 20180920060354.7 024 8 $aGOVPUB-C13-7f5be2daa77b6ee79088fa9ab5c511fe 035 $a(CKB)5470000002498783 035 $a(OCoLC)726799915 035 $a(OCoLC)995470000002498783 035 $a(EXLCZ)995470000002498783 100 $a20110523d1940 ua 0 101 0 $aeng 135 $aurbn||||||abp 135 $aurbn||||||ada 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStructural properties of "Tilecrete type A" floor construction sponsored by the Tilecrete Co /$fby Herbert L. 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