02848nam 2200601 a 450 991096671140332120200520144314.01-04-020571-20-429-13654-41-58488-735-410.1201/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 Michael1829096Ionescu-Bujor Mihaela1829097MiAaPQMiAaPQMiAaPQBOOK9910966711403321Computational methods for data evaluation and assimilation4398257UNINA