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[null,"1.","Record Nr.",null,"UNINA9910799980603321"]
[null,null,"Autore",null,"Eubank R. L (Randy L.)"]
[null,null,"Titolo",null,"A Kalman filter primer / / R.L. Eubank"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, Fla. : , : Chapman & Hall/CRC, , 2006"]
[null,null,"ISBN",null,"0-429-11759-0"]
[{"$nulls":4},"1-281-32617-8"]
[{"$nulls":4},"9786611326173"]
[{"$nulls":4},"1-4200-2867-7"]
[null,null,"Descrizione fisica",null,"1 online resource (199 p.)"]
[null,null,"Collana",null,"Statistics, textbooks and monographs ; ; v. 186"]
[null,null,"Disciplina",null,"519.2/3"]
[null,null,"Soggetti",null,"Kalman filtering"]
[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 (p. 183-184) and index."]
[null,null,"Nota di contenuto",null,"chapter 1 Signal-Plus-Noise Models -- chapter 2 The Fundamental Covariance Structure -- chapter 3 Recursions for L and L−1 -- chapter 4 Forward Recursions -- chapter 5 Smoothing -- chapter 6 Initialization -- chapter 7 Normal Priors -- chapter 8 A General State-Space Model."]
[null,null,null,"Sommario/riassunto","Eubank (mathematics and statistics, Arizona State U.) offers a self-contained, concise rigorous derivation of all the basic Kalman filter recursions from first principles. He lays out the basic prediction problem for signal-plus-noise models, deriving the Gramm-Schmidt algorithm and Cholesky decomposition. He covers the fundamental covariance struc"]