MARC Record from harvard_bibliographic_metadata

LEADER: 02174cam a2200361uu 4500
001 000784707-6
005 20090917123921.0
008 780516s1978 caua b 00010 eng
010 $a 77093282 //r892
020 $a080390942X :$c$3.00
035 0 $aocm03800626
040 $aDLC$cDLC$dSUM
050 0 $aHA30.3$b.O88 1978
060 4 $aQA 276$bO85t 1978
082 0 $a300/.01/51955$220
100 1 $aOstrom, Charles W.
245 10 $aTime series analysis :$bregression techniques /$cCharles W. Ostrom, Jr.
260 0 $aBeverly Hills, Calif. :$bSage Publications,$cc1978.
300 $a85 p. :$bill. ;$c22 cm.
490 1 $aQuantitative applications in the social sciences ;$vno. 07-009
490 1 $aSage university paper ;$v9
504 $aBibliography: p. 84-85.
505 0 $a1. Introduction -- 2. Time series regression analysis: nonlagged case -- A ratio goal hypothesis -- The error term -- Time series regression model -- Nonautoregression assumption -- Conventional tests for autocorrelation -- An alternative method of estimation -- Pseudo-GLS estimation -- Small sample properties -- Extension to multiple regression -- The ratio goal hypothesis reconsidered -- 3. Time series regression analysis: lagged case -- Lagged exogenous variables -- Lagged endogenous variables -- Testing for autocorrelation in models with lagged endogenous variables -- Estimation -- Pseudo-GLS estimation -- A revised ratio goal model -- 4. Forecasting -- Forecast error -- Forecast generation -- Modifying the forecasting equation -- Forecast evaluation -- 5. Alternative time-dependent processes -- The alternative processes -- Process identification -- Estimation -- 6. Summary.
650 0 $aTime-series analysis.
650 0 $aSocial sciences$xStatistical methods.
690 9 $aStatistics.$5soc
650 0 $aRegression analysis.
650 2 $aRegression Analysis.
650 2 $aSocial Sciences$xmethods.
776 08 $iOnline version:$aOstrom, Charles W.$tTime series analysis.$dBeverly Hills, Calif. : Sage Publications, ©1978$w(OCoLC)651926090
830 0 $aQuantitative applications in the social sciences ;$vno. 07-009.
988 $a20020608
906 $0DLC