Bayesian estimation and tracking : (Record no. 19476)

MARC details
000 -LEADER
fixed length control field 06194cam a2200781Mi 4500
001 - CONTROL NUMBER
control field ocn794663337
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220701010851.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|---|||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120604s2012 xx om 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EBLCP
Language of cataloging eng
Description conventions pn
Transcribing agency EBLCP
Modifying agency OCLCQ
-- N$T
-- DG1
-- OCLCO
-- YDXCP
-- CDX
-- OCLCQ
-- OCLCO
-- OCLCQ
-- OHI
-- UMI
-- DEBSZ
-- OCLCQ
-- RECBK
-- OCLCF
-- COO
-- OCLCQ
-- DG1
019 ## -
-- 798710560
-- 805829743
-- 846954587
-- 864909775
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118287835
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118287835
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118287798
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118287797
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0470621702
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780470621707
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781118287804
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1118287800
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code 9786613664174
028 01 - PUBLISHER NUMBER
Publisher number EB00063293
Source Recorded Books
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000049789633
029 1# - (OCLC)
OCLC library identifier AU@
System control number 000052281749
029 1# - (OCLC)
OCLC library identifier DEBBG
System control number BV041430636
029 1# - (OCLC)
OCLC library identifier DEBSZ
System control number 398264317
029 1# - (OCLC)
OCLC library identifier DEBSZ
System control number 431085420
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 14690891
029 1# - (OCLC)
OCLC library identifier NZ1
System control number 15340805
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)794663337
Canceled/invalid control number (OCoLC)798710560
-- (OCoLC)805829743
-- (OCoLC)846954587
-- (OCoLC)864909775
037 ## - SOURCE OF ACQUISITION
Stock number 10.1002/9781118287798
Source of stock number/acquisition Wiley InterScience
Note http://www3.interscience.wiley.com
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA279.5 .H38 2012
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029010
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5/42
-- 519.542
084 ## - OTHER CLASSIFICATION NUMBER
Classification number MAT029010
Source of number bisacsh
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Haug, Anton J.,
Dates associated with a name 1941-
245 10 - TITLE STATEMENT
Title Bayesian estimation and tracking :
Remainder of title a practical guide.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken :
Name of publisher, distributor, etc John Wiley & Sons,
Date of publication, distribution, etc 2012.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (523 pages)
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Title Page; Copyright; Dedication; Preface; Acknowledgments; List of Figures; List of Tables; Part I: Preliminaries; Chapter 1: Introduction; 1.1 Bayesian Inference; 1.2 Bayesian Hierarchy of Estimation Methods; 1.3 Scope of this Text; 1.4 Modeling and Simulation with Matlab®; References; Chapter 2: Preliminary Mathematical Concepts; 2.1 A Very Brief Overview of Matrix Linear Algebra; 2.2 Vector Point Generators; 2.3 Approximating Nonlinear Multidimensional Functions with Multidimensional Arguments; 2.4 Overview of Multivariate Statistics; References.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 3: General Concepts of Bayesian Estimation; 3.1 Bayesian Estimation; 3.2 Point Estimators; 3.3 Introduction to Recursive Bayesian Filtering of Probability Density Functions; 3.4 Introduction to Recursive Bayesian Estimation of the State Mean and Covariance; 3.5 Discussion of General Estimation Methods; References; Chapter 4: Case Studies: Preliminary Discussions; 4.1 The Overall Simulation/Estimation/Evaluation Process; 4.2 A Scenario Simulator for Tracking a Constant Velocity Target Through a DIFAR Buoy Field; 4.3 DIFAR Buoy Signal Processing; 4.4 The DIFAR Likelihood Function.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc References; Part II: The Gaussian Assumption: A Family of Kalman Filter Estimators; Chapter 5: The Gaussian Noise Case: Multidimensional Integration of Gaussian-Weighted Distributions; 5.1 Summary of Important Results From Chapter 3; 5.2 Derivation of the Kalman Filter Correction (Update) Equations Revisited; 5.3 The General Bayesian Point Prediction Integrals for Gaussian Densities; References; Chapter 6: The Linear Class of Kalman Filters; 6.1 Linear Dynamic Models; 6.2 Linear Observation Models; 6.3 The Linear Kalman Filter; 6.4 Application of the LKF to DIFAR Buoy Bearing Estimation.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc References; Chapter 7: The Analytical Linearization Class of Kalman Filters: The Extended Kalman Filter; 7.1 One-Dimensional Consideration; 7.2 Multidimensional Consideration; 7.3 An Alternate Derivation of the Multidimensional Covariance Prediction Equations; 7.4 Application of the EKF to the DIFAR Ship Tracking Case Study; References; Chapter 8: The Sigma Point Class: The Finite Difference Kalman Filter; 8.1 One-Dimensional Finite Difference Kalman Filter; 8.2 Multidimensional Finite Difference Kalman Filters.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8.3 An Alternate Derivation of the Multidimensional Finite Difference Covariance Prediction Equations; References; Chapter 9: The Sigma Point Class: The Unscented Kalman Filter; 9.1 Introduction to Monomial Cubature Integration Rules; 9.2 The Unscented Kalman Filter; 9.3 Application of the UKF to the DIFAR Ship Tracking Case Study; References; Chapter 10: The Sigma Point Class: The Spherical Simplex Kalman Filter; 10.1 One-Dimensional Spherical Simplex Sigma Points; 10.2 Two-Dimensional Spherical Simplex Sigma Points; 10.3 Higher Dimensional Spherical Simplex Sigma Points.
520 ## - SUMMARY, ETC.
Summary, etc A practical approach to estimating and tracking dynamic systems in real-world applications. Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing readers with a comprehensive overview of methods for estimating both linear and nonlinear dynamic systems driven by Gaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation and tracking.
588 0# -
-- Print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automatic tracking
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Estimation theory.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automatic tracking
General subdivision Mathematics.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Estimation theory.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element MATHEMATICS
General subdivision Probability & Statistics
-- Bayesian Analysis.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics.
Source of heading or term fast
-- (OCoLC)fst01012163
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Bayesian statistical decision theory.
Source of heading or term local
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automatic tracking / Mathematics.
Source of heading or term local
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Estimation theory.
Source of heading or term local
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Haug, Anton J., 1941-
Title Bayesian Estimation and Tracking : A Practical Guide.
Place, publisher, and date of publication Hoboken : John Wiley & Sons, ©2012
International Standard Book Number 9780470621707
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1002/9781118287798">http://dx.doi.org/10.1002/9781118287798</a>
Public note Wiley Online Library
994 ## -
-- 92
-- DG1

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