LEADER 03609nam 22007333u 450 001 9910454328603321 005 20210108174019.0 010 $a1-281-97074-3 010 $a9786611970741 010 $a0-19-152239-2 035 $a(CKB)1000000000721334 035 $a(EBL)3052816 035 $a(OCoLC)646792987 035 $a(SSID)ssj0000127661 035 $a(PQKBManifestationID)11989027 035 $a(PQKBTitleCode)TC0000127661 035 $a(PQKBWorkID)10062102 035 $a(PQKB)11736617 035 $a(MiAaPQ)EBC3052816 035 $a(EXLCZ)991000000000721334 100 $a20160801d1999|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Methods for the Study of Dynamic Economies$b[electronic resource] 210 $aOxford $cOxford University Press, UK$d1999 215 $a1 online resource (293 p.) 300 $aDescription based upon print version of record. 311 $a0-19-829497-2 327 $aPreface; Contents; Contributors; 1. Introduction: From pipeline economics to computational economics; Part I: Almost linear methods; 2. Linear quadratic approximations: An introduction; 3. A toolkit for analysing nonlinear dynamic stochastic models easily; 4. Solving nonlinear rational expectations models by eigenvalue-eigenvector decompositions; Part II: Nonlinear methods; 5. Discrete state-space methods for the study of dynamic economies; 6. Application of weighted residual methods to dynamic economic models; 7. The parameterized expectations approach: Some practical issues 327 $a8. Finite-difference methods for continuous-time dynamic programmingPart III: Solving some dynamic economies; 9. Optimal fiscal policy in a linear stochastic economy; 10. Computing models of social security; 11. Computation of equilibria in heterogeneous-agent models; References; Subject index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; Q; R; S; T; U; V; W; Author index; A; B; C; D; E; F; G; H; I; J; K; L; M; N; O; P; R; Q; S; T; U; V; W; X; Y; Z 606 $aElectronic books. -- local 606 $aEquilibrium (Economics) -- Mathematical models -- Congresses 606 $aMacroeconomics -- Computer simulation -- Congresses 606 $aMacroeconomics -- Mathematical models -- Congresses 606 $aMacroeconomics$xCongresses$xComputer simulation 606 $aMacroeconomics$xMathematical models$xCongresses 606 $aEquilibrium (Economics)$xMathematical models$xCongresses 606 $aBusiness & Economics$2HILCC 606 $aEconomic Theory$2HILCC 608 $aElectronic books. 615 4$aElectronic books. -- local. 615 4$aEquilibrium (Economics) -- Mathematical models -- Congresses. 615 4$aMacroeconomics -- Computer simulation -- Congresses. 615 4$aMacroeconomics -- Mathematical models -- Congresses. 615 0$aMacroeconomics$xCongresses$xComputer simulation 615 0$aMacroeconomics$xMathematical models$xCongresses 615 0$aEquilibrium (Economics)$xMathematical models$xCongresses 615 7$aBusiness & Economics 615 7$aEconomic Theory 676 $a339.01/51954 700 $aMarimon$b Ramon$f1953-$0595528 701 $aScott$b Andrew$0416125 712 02$aEuropean Economic Association 712 02$aEuropean University Institute 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910454328603321 996 $aComputational Methods for the Study of Dynamic Economies$92147745 997 $aUNINA LEADER 05601nam 22008055 450 001 9910349330403321 005 20251113180116.0 010 $a3-030-25147-0 024 7 $a10.1007/978-3-030-25147-5 035 $a(CKB)4100000009522828 035 $a(DE-He213)978-3-030-25147-5 035 $a(MiAaPQ)EBC5940496 035 $a(PPN)258059184 035 $a(EXLCZ)994100000009522828 100 $a20190918d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplications in Statistical Computing $eFrom Music Data Analysis to Industrial Quality Improvement /$fedited by Nadja Bauer, Katja Ickstadt, Karsten Lübke, Gero Szepannek, Heike Trautmann, Maurizio Vichi 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XI, 340 p. 83 illus., 48 illus. in color.) 225 1 $aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 311 08$a3-030-25146-2 320 $aIncludes bibliographical references. 327 $aPart I Methodological Developments in Data Science.-Aviation Data Analysis by Linear Programming in Airline Network Revenue Management -- Bayesian Reduced Rank Regression for Classification -- Modelling and classification of GC/IMS breath gas measurements for lozenges of different flavours -- The Cosine Depth Distribution Classifier for Directional Data -- A Nonconformity Ratio Based Desirability Function for Capability Assessment -- Part II Computational Statistics -- Heteroscedastic Discriminant Analysis using R -- Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco -- Part III Perspectives on Statistics and Data Science -- A Note on Artificial Intelligence and Statistics -- Statistical Computing and Data Science in Introductory Statistics -- Approaching Ethical Guidelines for Data Scientists -- Part IV Statistics in Econometric Applications -- Dating Lower Turning Points of Business Cycles ? a Multivariate Linear Discriminant Analysis for Germany 1984 to 2009 -- Partial Orderings of Default Predictions -- Improving GMM efficiency in dynamic models for panel data with mean stationarity -- Part V Statistics in Industrial Applications -- Economically designed Bayesian np control charts using dual sample sizes for long-run processes -- Statistical analysis of the lifetime of diamond impregnated tools for core drilling of concrete -- Detection of anomalous sequences in crack data of a bridge monitoring -- Optimal Semi-Split-Plot Designs with R -- Continuous process monitoring through ensemble based anomaly detection -- Part VI Statistics in Music Applications -- Evaluation of Audio Feature Groups for the Prediction of Arousal and Valence in Music -- The Psychological Foundations of Classification. 330 $aThis volume presents a selection of research papers on various topics at the interface of statistics and computer science. Emphasis is put on the practical applications of statistical methods in various disciplines, using machine learning and other computational methods. The book covers fields of research including the design of experiments, computational statistics, music data analysis, statistical process control, biometrics, industrial engineering, and econometrics. Gathering innovative, high-quality and scientifically relevant contributions, the volume was published in honor of Claus Weihs, Professor of Computational Statistics at TU Dortmund University, on the occasion of his 66th birthday. 410 0$aStudies in Classification, Data Analysis, and Knowledge Organization,$x2198-3321 606 $aMathematical statistics$xData processing 606 $aData mining 606 $aStatistics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aMusic$xMathematics 606 $aOperations research 606 $aStatistics and Computing 606 $aData Mining and Knowledge Discovery 606 $aApplied Statistics 606 $aProbability and Statistics in Computer Science 606 $aMathematics in Music 606 $aOperations Research and Decision Theory 615 0$aMathematical statistics$xData processing. 615 0$aData mining. 615 0$aStatistics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aMusic$xMathematics. 615 0$aOperations research. 615 14$aStatistics and Computing. 615 24$aData Mining and Knowledge Discovery. 615 24$aApplied Statistics. 615 24$aProbability and Statistics in Computer Science. 615 24$aMathematics in Music. 615 24$aOperations Research and Decision Theory. 676 $a519.5 702 $aBauer$b Nadja$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIckstadt$b Katja$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLübke$b Karsten$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSzepannek$b Gero$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrautmann$b Heike$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVichi$b Maurizio$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349330403321 996 $aApplications in Statistical Computing$91668158 997 $aUNINA