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Probabilistic Total Paranorms, F-norms and PN Spaces

M. B. Ghaemi, B. Lafuerza-Guillen

Abstract


growth rate model. The predictions are done in three phases. Firstly, the predictions are computed using a cubic polynomial model for the years 1991 and 2001. Using the cross validation predictive power and R2, the shrinkage coefficient (? ) is constructed. The shrinkage coefficient determines the adequacy of the first phase prediction. Secondly, these predicted values are used to estimate the growth rate, for different age groups, by using the geometric growth rate method. Finally, considering the population of Dhaka in 2001 as base population and using the estimated geometric growth rate of the second phase estimation, the predictions are obtained during 2002-2031.

Keywords


Dhaka district population, cubic polynomial model, ordinary least squares (OLS) estimation, geometric growth rate, cross validity predictive power, shrinkage

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