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[null,"1.","Record Nr.",null,"UNINA9911019716903321"]
[null,null,"Autore",null,"Gibbs Bruce. P. <1946->"]
[null,null,"Titolo",null,"Advanced Kalman filtering, least-squares and modeling : a practical handbook / / Bruce P. Gibbs"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, NJ, : Wiley Pub., c2011"]
[null,null,"ISBN",null,"1-283-02519-1"]
[{"$nulls":4},"9786613025197"]
[{"$nulls":4},"0-470-89004-5"]
[{"$nulls":4},"0-470-89003-7"]
[null,null,"Descrizione fisica",null,"1 online resource (627 p.)"]
[null,null,"Disciplina",null,"620.0042"]
[{"$nulls":4},"620.0072/7"]
[null,null,"Soggetti",null,"Kalman filtering"]
[{"$nulls":4},"Least squares"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"ADVANCED KALMAN FILTERING, LEAST-SQUARES AND MODELING; CONTENTS; PREFACE; CHAPTER 1: INTRODUCTION; CHAPTER 2: SYSTEM DYNAMICS AND MODELS; CHAPTER 3: MODELING EXAMPLES; CHAPTER 4: LINEAR LEAST - SQUARES ESTIMATION: FUNDAMENTALS; CHAPTER 5: LINEAR LEAST - SQUARES ESTIMATION: SOLUTION TECHNIQUES; CHAPTER 6: LEAST - SQUARES ESTIMATION: MODEL ERRORS AND MODEL ORDER; 6.1 ASSESSING THE VALIDITY OF THE SOLUTION; 6.2 SOLUTION ERROR ANALYSIS; 6.3 REGRESSION ANALYSIS FOR WEIGHTED LEAST SQUARES; 6.4 SUMMARY; CHAPTER 7: LEAST - SQUARES ESTIMATION: CONSTRAINTS, NONLINEAR MODELS, AND ROBUST TECHNIQUES"]
[{"$nulls":4},"CHAPTER 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"]
[null,null,null,"Sommario/riassunto","This 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 "]
[{"$nulls":4},"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"]