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Statistical Modeling for Wheat (Triticum Aestivum) Crop ProductionDOI: 10.5923/j.statistics.20120204.03 Keywords: Adjusted R2, Durbin-Watson Statistic, Root Mean Square Error, Mean Absolute Error, Kernel Density, Bandwidth, Cross Validation Abstract: The present investigation was carried out to study the trends in area, production and productivity of wheat crop grown during the period 1950-1951 to 2009-2010 in India. Different non-linear models were employed to study the trends in area, production and productivity. When none of the non-linear models were found suitable to fit the trends nonparametric regression model was employed. None of the non-linear model was found suitable to fit the trends in area data. The Sinusoidal model was found suitable to fit the trends in production as well as productivity of wheat crop grown in India. The results indicated that area, production and productivity of wheat crop grown in India, had been shown in the increasing trend. The area of cultivation had played a major role in increasing the trend in production.
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