LEADER 00998nam0 2200277 450 001 9910646597503321 005 20230221155617.0 010 $a9783319899985 100 $a20230221d2022----km y0itay50 ba 101 0 $aeng 102 $aCH 105 $ay 001yy 200 1 $aHandbook of interpersonal violence and abuse across the lifespan$ea project of the National Partnership to End Interpersonal Violence Across the Lifespan (NPEIV)$fRobert Geffner ... [et al.] editors 210 $aCham$cSpringer$d2022 215 $av.$cill.$d24 cm 300 $aIn copertina: Springer nature. Reference 702 1$aGeffner,$bRobert 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910646597503321 952 $a150.3024 GEFR 01 D$b2022/1512$fFLFBC 952 $a150.3024 GEFR 01 E$b2022/1512$fFLFBC 952 $a150.3024 GEFR 01 F$b2022/1512$fFLFBC 959 $aFLFBC 996 $aHandbook of Interpersonal Violence and Abuse Across the Lifespan$92473815 997 $aUNINA LEADER 02980nam 2200505Ia 450 001 9911019716903321 005 20200520144314.0 010 $a1-283-02519-1 010 $a9786613025197 010 $a0-470-89004-5 010 $a0-470-89003-7 035 $a(CKB)2670000000066225 035 $a(EBL)644860 035 $a(OCoLC)705350791 035 $a(MiAaPQ)EBC644860 035 $a(EXLCZ)992670000000066225 100 $a20080229d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Kalman filtering, least-squares and modeling $ea practical handbook /$fBruce P. Gibbs 210 $aHoboken, NJ $cWiley Pub.$dc2011 215 $a1 online resource (627 p.) 300 $aDescription based upon print version of record. 311 $a0-470-52970-9 320 $aIncludes bibliographical references and index. 327 $aADVANCED KALMAN FILTERING, LEAST-SQUARES AND MODELING; CONTENTS; PREFACE; CHAPTER 1: INTRODUCTION; CHAPTER 2: SYSTEM DYNAMICS AND MODELS; CHAPTER 3: MODELING EXAMPLES; CHAPTER 4: LINEAR LEAST - SQUARES ESTIMATION: FUNDAMENTALS; CHAPTER 5: LINEAR LEAST - SQUARES ESTIMATION: SOLUTION TECHNIQUES; CHAPTER 6: LEAST - SQUARES ESTIMATION: MODEL ERRORS AND MODEL ORDER; 6.1 ASSESSING THE VALIDITY OF THE SOLUTION; 6.2 SOLUTION ERROR ANALYSIS; 6.3 REGRESSION ANALYSIS FOR WEIGHTED LEAST SQUARES; 6.4 SUMMARY; CHAPTER 7: LEAST - SQUARES ESTIMATION: CONSTRAINTS, NONLINEAR MODELS, AND ROBUST TECHNIQUES 327 $aCHAPTER 8: KALMAN FILTERINGCHAPTER 9: FILTERING FOR NONLINEAR SYSTEMS, SMOOTHING, ERROR ANALYSIS/MODEL DESIGN, AND MEASUREMENT PREPROCESSING; CHAPTER 10: FACTORED (SQUARE - ROOT) FILTERING; CHAPTER 11: ADVANCED FILTERING TOPICS; CHAPTER 12: EMPIRICAL MODELING; APPENDIX A: SUMMARY OF VECTOR/MATRIX OPERATIONS; APPENDIX B: PROBABILITY AND RANDOM VARIABLES; BIBLIOGRAPHY; INDEX 330 $aThis book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to discuss model development in sufficient detail so that the reader may design an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the "best" model are also presented. A second goal is to present little known extensions of least squares estim 606 $aKalman filtering 606 $aLeast squares 615 0$aKalman filtering. 615 0$aLeast squares. 676 $a620.0042 676 $a620.0072/7 700 $aGibbs$b Bruce. P.$f1946-$01842023 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019716903321 996 $aAdvanced Kalman filtering, least-squares and modeling$94421954 997 $aUNINA