LEADER 01101nam0-2200313 --450 001 9910330054303321 005 20190725132527.0 010 $a88-09-40099-2 100 $a20190725d2018----kmuy0itay5050 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $aBFQ-C$eBig five questionnaire children$fClaudio Barbaranelli, Gian Vittorio Caprara, Annarita Rabasca 205 $a2. ed. 210 $aFirenze$cGiunti Psychometrics$dc2018 215 $a72 p.$d30 cm$e10 questionari di autovalutazione età 8-10 anni, 10 questionari di autovalutazione età 11-14 anni, 10 questionari di eterovalutazione età 8-14 anni 610 0 $aTest psicologici 610 0 $aFanciulli$aPersonalità 676 $a155.41828$v20 700 1$aBarbaranelli,$bClaudio$0592277 701 1$aCaprara,$bGian Vittorio$0124289 701 1$aRabasca,$bAnnarita$0159397 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910330054303321 952 $aLABORATORIO DIDATTICO DI PSICOLOGIA 11 (KIT)$bBIBL 2019$fFLFBC 959 $aFLFBC 996 $aBFQ-C$91558042 997 $aUNINA LEADER 04967nam 2200685 a 450 001 9911019147103321 005 20200520144314.0 010 $a9786613651617 010 $a9781280674686 010 $a1280674687 010 $a9781118287415 010 $a111828741X 010 $a9781118287422 010 $a1118287428 010 $a9781118287392 010 $a1118287398 024 8 $a9786613651617 035 $a(CKB)2670000000174995 035 $a(EBL)822033 035 $a(SSID)ssj0000641818 035 $a(PQKBManifestationID)11404094 035 $a(PQKBTitleCode)TC0000641818 035 $a(PQKBWorkID)10647425 035 $a(PQKB)11241482 035 $a(CaBNVSL)mat06198969 035 $a(IDAMS)0b00006481812a5e 035 $a(IEEE)6198969 035 $a(MiAaPQ)EBC822033 035 $a(OCoLC)793103992 035 $a(PPN)258032197 035 $a(Perlego)2776803 035 $a(EXLCZ)992670000000174995 100 $a20111121d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSystem identification $ea frequency domain approach /$fRik Pintelon, Johan Schoukens 205 $a2nd ed. 210 $aHoboken, N.J. $cJohn Wiley & Sons$d2012 215 $a1 online resource (790 p.) 300 $aDescription based upon print version of record. 311 08$a9780470640371 311 08$a0470640375 320 $aIncludes bibliographical references and indexes. 327 $aPreface to the First Edition -- -- Preface to the Second Edition -- -- Acknowledgments -- -- List of Operators and Notational Conventions -- List of Symbols -- List of Abbreviations -- Chapter 1 An Introduction to Identification -- Chapter 2 Measurement of Frequency Response Functions - Standard Solutions -- Chapter 3 Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Chapter 4 Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Chapter 5 Design of Excitation Signals -- Chapter 6 Models of Linear Time-Invariant Systems -- Chapter 7 Measurement of Frequency Response Functions - The Local Polynomial Approach -- Chapter 8 An Intuitive Introduction to Frequency Domain Identification -- Chapter 9 Estimation with Know Noise Model -- Chapter 10 Estimation with Unknown Noise Model - Standard Solutions -- Chapter 11 Model Selection and Validation -- Chapter 12 Estimation with Unknown Noise Model - The Local Polynomial Approach -- Chapter 13 Basic Choices in System Identification -- Chapter 14 Guidelines for the User -- Chapter 15 Some Linear Algebra Fundamentals -- Chapter 16 Some Probability and Stochastic Convergence Fundamentals -- Chapter 17 Properties of Least Squares Estimators with Deterministic Weighting -- Chapter 18 Properties of Least Squares Estimators with Stochastic Weighting -- Chapter 19 Identification of Semilinear Models -- Chapter 20 Identification of Invariants of (Over) Parameterized Models -- References -- Subject Index -- Author Index -- About the Authors 330 $aSystem identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering.Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available.Readers of this Second Editon will benefit from:. MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com. State-of-the-art system identification methods for both time and frequency domain data. New chapters on non-parametric and parametric transfer function modeling using (non-)period excitations. Numerous examples and figures that facilitate the learning process. A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithmsUnlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering. 606 $aSystem identification 615 0$aSystem identification. 676 $a003/.1 700 $aPintelon$b R$g(Rik)$028431 701 $aSchoukens$b J$g(Johan)$027451 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019147103321 996 $aSystem identification$91461416 997 $aUNINA