02818nam 2200589 a 450 991082652200332120200520144314.00-429-13654-41-58488-735-410.1201/b15334 (CKB)2670000000394923(EBL)1335849(SSID)ssj0000949880(PQKBManifestationID)11541320(PQKBTitleCode)TC0000949880(PQKBWorkID)11003623(PQKB)11070742(OCoLC)857059565(MiAaPQ)EBC1335849(OCoLC)855504713(PPN)230992668(EXLCZ)99267000000039492320130816d2014 uy 0engur|n|---|||||txtccrComputational methods for data evaluation and assimilation /Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor1st ed.Boca Raton CRC Press20141 online resource (372 p.)"A Chapman & Hall book."1-58488-736-2 Includes bibliographical references.Front Cover; Contributors; Preface; List of Figures; List of Tables; Contents; Introduction; Chapter 1 - Experimental Data Evaluation: Basic Concepts; Chapter 2 - Computation of Means and Variances from Measurements; Chapter 3 - Optimization Methods For Large-Scale Data Assimilation; Chapter 4 - Basic Principles of 4-D VAR; Chapter 5 - 4-D VAR in Numerical Weather Prediction Models; Chapter 6 - Appendix A; Chapter 7 - Appendix B; Chapter 8 - Appendix C; Bibliography; Back CoverData evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas. After presenting the fundamentals underlying the evaluation of experimentMathematical analysisData processingMathematical analysisData processing.518.0285519.538MAT003000bisacshCacuci D. G897247Navon Ionel Michael1756630Ionescu-Bujor Mihaela1756631MiAaPQMiAaPQMiAaPQBOOK9910826522003321Computational methods for data evaluation and assimilation4194063UNINA