Selection Criteria for Statistical Models - Murthy, B.Ramana;Balasiddamuni, P.
51,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
26 °P sammeln
  • Broschiertes Buch

Model Selection Criteria have become exceedingly popular in the Time Series/Forecasting and Applied Regression Analysis. The problem of model selection has long term of interest statisticians .In the Applied Regression analysis,one is faced with a large number of explanatory variables which are potentially important for the specification of the model.Selecting the best statistical model is an important problem in statistics as well as in any other field that uses regression analysis.The problem of reducing the number of regressors in the prediction equation of Multiple regression analysis has…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
Model Selection Criteria have become exceedingly popular in the Time Series/Forecasting and Applied Regression Analysis. The problem of model selection has long term of interest statisticians .In the Applied Regression analysis,one is faced with a large number of explanatory variables which are potentially important for the specification of the model.Selecting the best statistical model is an important problem in statistics as well as in any other field that uses regression analysis.The problem of reducing the number of regressors in the prediction equation of Multiple regression analysis has received and shall continue to receive considerable attention in the statistical analysis. In the present research study ,the various Selection Criteria for best regression models have been developed by using studentized residuals.
Autorenporträt
Working as Associate Professor in Gayatri School of Management Studies and Science ,Tirupati,A.P,India.He has 11 years of teaching experience , he has published 7 papers in National/International Journals and 10 Research Papers were presented at National/International Seminars/Conferences.