02760oam 2200565I 450 991078758320332120170816135817.00-429-13654-41-58488-735-410.1201/b15334 (CKB)2670000000394923(EBL)1335849(SSID)ssj0000949880(PQKBManifestationID)11541320(PQKBTitleCode)TC0000949880(PQKBWorkID)11003623(PQKB)11070742(OCoLC)857059565(MiAaPQ)EBC1335849(OCoLC)855504713(PPN)230992668(EXLCZ)99267000000039492320180331d2014 uy 0engur|n|---|||||txtccrComputational methods for data evaluation and assimilation /Dan Gabrial Cauci, Ionel Michael Navon, Mihaela Ionescu-BujorBoca Raton :CRC Press,[2014]1 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.518.0285MAT003000bisacshCacuci D. G.897247Navon Ionel MichaelIonescu-Bujor MihaelaMiAaPQMiAaPQMiAaPQBOOK9910787583203321Computational methods for data evaluation and assimilation3833666UNINA