LEADER 01069nam0-22003371i-450- 001 990007737610403321 005 20161003101739.0 035 $a000773761 035 $aFED01000773761 035 $a(Aleph)000773761FED01 035 $a000773761 100 $a20030814d1994----km-y0itay50------ba 101 0 $aita 200 1 $aCodice tributario professionale 1994$etesti annotati articolo per articolo, con le massime di giurisprudenza e con lesintesi di circolari e risoluzioni ministeriali$fa cura di Giuseppe e Francesco Giuliani 210 $aMilano$cGiuffrè$d1994 215 $a2 v.$d24 cm 300 $aIn basso al frontespizio: Cosa & come 676 $a348 702 1$aGiuliani,$bFrancesco 702 1$aGiuliani,$bGiuseppe 710 02$aItalia$0423419 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007737610403321 952 $a22-M-195/3$b6515/1,2$fDDCP 952 $a22-M-195/1$b6515/1,2$fDDCP 952 $a22-M-195/2$b6515/1,2$fDDCP 952 $aZ 101/B$bs.i.$fDSS 959 $aDDCP 959 $aDSS 997 $aUNINA LEADER 05828aam 2200721 450 001 9910788199903321 005 20230120012942.0 010 $a1-4832-9692-X 035 $a(CKB)2670000000585879 035 $a(EBL)1888689 035 $a(OCoLC)898422508 035 $a(SSID)ssj0001266525 035 $a(PQKBManifestationID)11723278 035 $a(PQKBTitleCode)TC0001266525 035 $a(PQKBWorkID)11249638 035 $a(PQKB)11310723 035 $a(MiAaPQ)EBC1888689 035 $a(EXLCZ)992670000000585879 100 $a20150110h19951995 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAutomatic control in aerospace $eAerospace Control '94 : a postprint volume from the IFAC symposium, Palo Alto, California, USA, 12-16 September 1994 /$fedited by D. B. Schaechter and K. R. Lorell 205 $aFirst edition. 210 1$aOxford, England :$cPergamon,$d1995. 210 4$d©1995 215 $a1 online resource (447 p.) 225 1 $aIFAC Postprint Volume 300 $aDescription based upon print version of record. 311 $a0-08-042238-1 311 $a1-322-48019-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a""Front Cover""; ""Automatic Control in Aerospace (Aerospace Control '94)""; ""Copyright Page""; ""Table of Contents""; ""IFAC SYMPOSIUM ON AUTOMATIC CONTROL IN AEROSPACE 1994""; ""CHAPTER 1. OPTIMAL MULTI-CRITERIA AEROASSISTED ORBITAL TRANSFER TRAJECTORIES""; ""1. INTRODUCTION""; ""2. MATHEMATICAL MODEL""; ""3. MULTI-CRITERIA TRAJECTORY OPTIMIZATION""; ""4. THE AEROASSISTED ORBITAL TRANSFER PROBLEM""; ""5. RESULTS AND DISCUSSION""; ""6. CONCLUSIONS""; ""Acknowledgments""; ""7. REFERENCES""; ""CHAPTER 2. ROCKET ASCENT WITH HEAT-FLUX AND SPLASH DOWNCONSTRAINTS""; ""1 INTRODUCTION"" 327 $a""2 MATHEMATICAL MODELS""""3 OPTIMIZATION METHOD""; ""4 COMPUTATIONAL STUDY""; ""5 CONCLUSIONS""; ""6 REFERENCES""; ""CHAPTER 3. HIERARCHICAL MODELING APPROACH IN AIRCRAFT TRAJECTORY OPTIMIZATION""; ""1. INTRODUCTION""; ""2. MATHEMATICAL MODELING""; ""3. DYNAMIC-MODEL STRUCTURE""; ""4. HIERARCHICAL OPTIMIZATION""; ""5. NUMERICAL RESULTS""; ""CONCLUSIONS""; ""ACKNOWLEDGEMENTS""; ""REFERENCES""; ""CHAPTER 4. NONLINEAR ANALYSIS AND DESIGN OF SHUTTLE-TYPE ENTRY GUIDANCE""; ""1. INTRODUCTION""; ""2. GUIDANCE PROBLEM FORMULATION""; ""3. GUIDANCE LAWS""; ""4. STABILITY AND PERFORMANCE"" 327 $a""5. ASSESSMENT""""6. CONCLUSIONS""; ""7. ACKNOWLEDGMENT""; ""8. REFERENCES""; ""CHAPTER 5. OPTIMAL GUIDANCE OF A SOLAR SAIL SPACECRAFT TO THE SUN-EARTH L2 POINT""; ""1. INTRODUCTION""; ""2. PROBLEM DEFINITION""; ""3. OPEN-LOOP TRAJECTORY""; ""4. GUIDANCE""; ""5. CONCLUSIONS""; ""6. REFERENCES""; ""CHAPTER 6. ADAPTIVE WING CAMBER OPTIMIZATION: A PERIODIC PERTURBATION APPROACH""; ""1. INTRODUCTION""; ""2. PROBLEM FORMULATION""; ""3. A PERIODIC PERTURBATION EXTREMASEARCHING TECHNIQUE: THE WORKING PRINCIPLE""; ""4. PRACTICAL IMPLEMENTATION OF THE ALGORITHM: EQUIVALENT CIRCUIT AND DESIGN"" 327 $a""5. APPLICATION TO ACTIVE CAMBER OPTIMIZATION""""6. CONCLUDING REMARKS""; ""7. REFERENCES""; ""CHAPTER 7. PARAMETER ROBUST FLIGHT CONTROL SYSTEMFOR A FLEXIBLE AIRCRAFT""; ""1. INTRODUCTION""; ""2. MIXED CONTROL""; ""3. PARAMETER ROBUST MIXED CONTROL""; ""4. PERFORMANCE REQUIREMENT""; ""5. APPLICATION""; ""6. CONCLUSION""; ""7. REFERENCES""; ""CHAPTER 8. NON-SMOOTH RESONANCE CONTROL OF COMPLEX BIFURCATIONS IN AIRCRAFT FLIGHT""; ""1. INTRODUCTION""; ""2. NORMAL FORMS AND AVERAGING REDUCTION METHODS""; ""3. ESTIMATION OF RESIDUAL TERMS""; ""4 . RESONANCE STABILIZATION"" 327 $a""5. ANALYSIS AND CONTROL OF COMPLEX BIFURCATIONS OF AN AIRCRAFT MODEL""""6. CONCLUSION""; ""7. REFERENCES""; ""CHAPTER 9. HIGH ANGLE OF ATTACK VELOCITY VECTOR ROLLS""; ""1. INTRODUCTION""; ""2. APPROACH""; ""3. MODELING""; ""4. QFT OVERVIEW""; ""5. ATTACK ON NONLINEARITIES AND UNCERTAINTY""; ""6. CONTROLLER DESIGN""; ""7. RESULTS""; ""8. CONCLUSIONS""; ""9. REFERENCES""; ""CHAPTER 10. A ROUTE ORIENTED PLANNING AND CONTROL CONCEPT FOR EFFICIENT FLIGHT OPERATIONS AT BUSY AIRPORTS""; ""1. INTRODUCTION""; ""2. CURRENT AIRPORT OPERATIONS""; ""3. CONCEPT DESCRIPTION""; ""4. DESIGN ALGORITHMS"" 327 $a""5. PLANNING OF LANDING SEQUENCES AND SCHEDULES"" 330 $aAn important, successful area for control systems development is that of state-of-the-art aeronautical and space related technologies. Leading researchers and practitioners within this field have been given the opportunity to exchange ideas and discuss results at the IFAC symposia on automatic control in aerospace. The key research papers presented at the latest in the series have been put together in this publication to provide a detailed assessment of present and future developments of these control system technologies. 410 0$aIFAC Postprint Volume 606 $aAirplanes$xControl systems$vCongresses 606 $aAirplanes$xAutomatic control$vCongresses 606 $aSpace vehicles$xControl systems$vCongresses 606 $aSpace vehicles$xAutomatic control$vCongresses 615 0$aAirplanes$xControl systems 615 0$aAirplanes$xAutomatic control 615 0$aSpace vehicles$xControl systems 615 0$aSpace vehicles$xAutomatic control 676 $a629.132/6 676 $a629.1326 702 $aSchaechter$b D. B. 702 $aLorell$b K. R. 712 02$aInternational Federation of Automatic Control. 712 12$aIFAC Symposium on Automatic Control in Aerospace$f(1994 :$ePalo Alto, California) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788199903321 996 $aAutomatic control in aerospace$93820709 997 $aUNINA LEADER 04823nam 2200637 a 450 001 9910829836903321 005 20230721030033.0 010 $a1-280-83855-8 010 $a9786610838554 010 $a0-470-02473-9 010 $a0-470-02424-0 035 $a(CKB)1000000000357190 035 $a(EBL)290975 035 $a(OCoLC)476048264 035 $a(SSID)ssj0000252575 035 $a(PQKBManifestationID)11219496 035 $a(PQKBTitleCode)TC0000252575 035 $a(PQKBWorkID)10180531 035 $a(PQKB)10532555 035 $a(MiAaPQ)EBC290975 035 $a(EXLCZ)991000000000357190 100 $a20060911d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStructural equation modeling$b[electronic resource] $ea Bayesian approach /$fSik-Yum Lee 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2007 215 $a1 online resource (459 p.) 225 1 $aWiley series in probability and statistics 300 $aDescription based upon print version of record. 311 $a0-470-02423-2 320 $aIncludes bibliographical references and index. 327 $aStructural Equation Modeling; Contents; About the Author; Preface; 1 Introduction; 1.1 Standard Structural Equation Models; 1.2 Covariance Structure Analysis; 1.3 Why a New Book?; 1.4 Objectives of the Book; 1.5 Data Sets and Notations; Appendix 1.1; References; 2 Some Basic Structural Equation Models; 2.1 Introduction; 2.2 Exploratory Factor Analysis; 2.3 Confirmatory and Higher-order Factor Analysis Models; 2.4 The LISREL Model; 2.5 The Bentler-Weeks Model; 2.6 Discussion; References; 3 Covariance Structure Analysis; 3.1 Introduction; 3.2 Definitions, Notations and Preliminary Results 327 $a3.3 GLS Analysis of Covariance Structure3.4 ML Analysis of Covariance Structure; 3.5 Asymptotically Distribution-free Methods; 3.6 Some Iterative Procedures; Appendix 3.1: Matrix Calculus; Appendix 3.2: Some Basic Results in Probability Theory; Appendix 3.3: Proofs of Some Results; References; 4 Bayesian Estimation of Structural Equation Models; 4.1 Introduction; 4.2 Basic Principles and Concepts of Bayesian Analysis of SEMs; 4.3 Bayesian Estimation of the CFA Model; 4.4 Bayesian Estimation of Standard SEMs; 4.5 Bayesian Estimation via WinBUGS; Appendix 4.1: The Metropolis-Hastings Algorithm 327 $a6.3 Bayesian Estimation and Goodness-of-fit6.4 Bayesian Model Comparison; 6.5 Application 1: Bayesian Selection of the Number of Factors in EFA; 6.6 Application 2: Bayesian Analysis of Quality of Life Data; References; 7 Structural Equation Models with Dichotomous Variables; 7.1 Introduction; 7.2 Bayesian Analysis; 7.3 Analysis of a Multivariate Probit Confirmatory Factor Analysis Model; 7.4 Discussion; Appendix 7.1: Questions Associated with the Manifest Variables; References; 8 Nonlinear Structural Equation Models; 8.1 Introduction; 8.2 Bayesian Analysis of a Nonlinear SEM 327 $a8.3 Bayesian Estimation of Nonlinear SEMs with Mixed Continuous and Ordered Categorical Variables8.4 Bayesian Estimation of SEMs with Nonlinear Covariates and Latent Variables; 8.5 Bayesian Model Comparison; References; 9 Two-level Nonlinear Structural Equation Models; 9.1 Introduction; 9.2 A Two-level Nonlinear SEM with Mixed Type Variables; 9.3 Bayesian Estimation; 9.4 Goodness-of-fit and Model Comparison; 9.5 An Application: Filipina CSWs Study; 9.6 Two-level Nonlinear SEMs with Cross-level Effects; 9.7 Analysis of Two-level Nonlinear SEMs using WinBUGS 327 $aAppendix 9.1: Conditional Distributions: Two-level Nonlinear SEM 330 $a***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account. As SEMs have grown in popularity in recent years, new models and statistical methods have been developed for more accurate analysis of more complex data. A Bayesian approach to SEMs allows the use of prior information resulting in improved parameter estimates, latent varia 410 0$aWiley series in probability and statistics. 606 $aStructural equation modeling 606 $aBayesian statistical decision theory 615 0$aStructural equation modeling. 615 0$aBayesian statistical decision theory. 676 $a519.53 676 $a519.535 686 $a31.73$2bcl 700 $aLee$b Sik-Yum$0308566 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829836903321 996 $aStructural equation modeling$94022945 997 $aUNINA