MARC Record from harvard_bibliographic_metadata

LEADER: 02295cam a22004814a 4500
001 012732028-8
005 20110511224650.0
008 050519s2006 enka b 001 0 eng
010 $a 2005014585
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020 $a0521843197
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040 $aDLC$beng$cDLC$dYDX$dBAKER$dMUQ$dBTCTA$dYDXCP$dNLGGC$dOCLCG$dIG#$dCDN$dDEBBG$dHTM$dOCLCQ
042 $apcc
050 00 $aHB139$b.B376 2006
082 00 $a330/.01/518282$222
084 $a83.03$2bcl
084 $aDAT 304f$2stub
084 $aQH 300$2rvk
084 $aWIR 017f$2stub
100 1 $aBarreto, Humberto,$d1960-
245 10 $aIntroductory econometrics :$busing Monte Carlo simulation with Microsoft Excel /$cHumberto Barreto, Frank M. Howland.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2006.
300 $axxiii, 774 p. :$bill. ;$c26 cm. +$e1 CD-ROM (4 3/4 in.)
504 $aIncludes bibliographical references and index.
505 0 $a1. Introduction; Part I. Description: 2. Correlation; 3. Pivot tables; 4. Computing regression; 5. Interpreting regression; 6. Functional form; 7. Multivariate regression; 8. Dummy variables; Part II. Inference: 9. Monte Carlo simulation; 10. Inferential statistics review; 11. Measurement box model; 12. Comparing two populations; 13. The classical econometric model; 14. The Gauss Markov theorem; 15. Understanding the standard error; 16. Hypothesis testing and confidence intervals; 17. F tests; 18. Omitted variable bias; 19. Heteroskedasticity; 20. Autocorrelation; 21. The series topics; 22. Dummy dependent variables; 23. Bootstrap; 24. Simultaneous equations.
650 0 $aEconometrics.
650 0 $aMonte Carlo method$xData processing.
630 00 $aMicrosoft Excel (Computer file)
630 06 $aMicrosoft Excel.
650 6 $aÉconométrie.
650 6 $aMonte-Carlo, Méthode de$xInformatique.
650 17 $aEconometrie.$2gtt
650 17 $aMonte Carlo-methode.$2gtt
650 17 $aMicrosoft Excel.$2gtt
650 07 $aEXCEL.$2swd
650 07 $aMonte-Carlo-Simulation.$2swd
650 07 $aÖkonometrie.$2swd
610 24 $aWhitman College$xMemorial bookplates$xClass of 1955.
700 1 $aHowland, Frank M.,$d1958-
988 $a20110331
906 $0DLC