Multiple Linear Regression to Forecast Balance of Trade
نویسندگان
چکیده
منابع مشابه
Forecast generation model of municipal solid waste using multiple linear regression
The objective of this study was to develop a forecast model to determine the rate of generation of municipal solid waste in the municipalities of the Cuenca del Cañón del Sumidero, Chiapas, Mexico. Multiple linear regression was used with social and demographic explanatory variables. The compiled database consisted of 9 variables with 118 specific data per variable, which were analyzed using a ...
متن کاملSome Modifications to Calculate Regression Coefficients in Multiple Linear Regression
In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...
متن کاملLinear Regression Under Multiple
This dissertation studies the least squares estimator of a trend parameter in a simple linear regression model with multiple changepoints when the changepoint times are known. The error component in the model is allowed to be autocorrelated. The least squares estimator of the trend and the variance of the trend estimator are derived. Consistency and asymptotic normality of the trend estimator a...
متن کاملSustainability Test of Iran’s Agricultural Balance Trade
From the perspective of new growth models and new international trade theories, both exports and imports play an important role in a dynamic economy. Economically, we cannot merely emphasize on a positive trade balance and we ignore the benefits of imports, and also we cannot advise negative trade balance. But the main concern of policy makers about international trade should be making stabilit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Malaysian Journal of Fundamental and Applied Sciences
سال: 2014
ISSN: 2289-599X,2289-5981
DOI: 10.11113/mjfas.v7n2.255