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ISSN : 2321–8045
Impact Factor : 3.4218[UIF-2017]
Article Details :
Minimum Quadratic Unbiased Estimators For Parameters Of First Order Moving Average Disturbances Regression Model With Box And Cox Transformation
M. Ramesh , B. Veeraraghava Reddy , G. Mokesh Rayalu , K. Aswini , P. Srivyshnavi And P. Balasiddamuni
Abstract :
Box and Cox Transformation may be considered as general transformation which may contain several types of linear and non linear transformations as its special cases.This transformation its special cases.This transformation ha a wide number of applications in theory of statistics ,Applied Regression analysis and Time series Analysis. In this Research Article, A new method of Estimation has been Suggested to estimate the parameters of the first order Moving Average regression Model with Box and cox Transformation for Dependent Variable.
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