The study tried to find out appropriate models using seven contemporary model selection criteria that could best describe the growth pattern of rice production in Bangladesh and in its foil regions (former divisions) Chittagong, Dhaka. Khulna and Rajshahi during the time period 1973/74 to 2000/01. It appeared from the study that the best fitting model for rice production in the whole country and in Dhaka was the cubic model. For Chittagong the quadratic model was the best. It means that the assumption of constant annual rate of growth in percent that lies behind the use of exponential/compound model, which was very common to use in describing growth pattern, was not true for the growth pattern of rice production in the country as a whole an...
Computing the growth of any entity over a time period is important for understanding the past behavi...
The main objective of the study is to develop the best Multiple Regression Model for measuring the s...
Rice production is sensitive to the climatic factors such as rainfall, maximum temperature, minimum ...
The study tried to find out appropriate models using seven contemporary model selection criteria tha...
Bangladesh is an agro-based developing country where rice is the dominant crop. And it is the staple...
The present study was undertaken to examine the rate of growth as well as forecasting and factor inf...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
The study develops a model to estimate the growth of both production and adoption of modern rice var...
Despite high pressure of population on land and other natural resources, Bangladesh has made remarka...
The study was undertaken to examine the best fitted ARIMA model that could be used to make efficient...
After independence, in 1971, Bangladesh faced an acute food shortage. Production of rice, the main c...
This study is an endeavor to determine the relationship of some of the selected climatic variables a...
Key words: Rice, area, production, forecast, quadratic trend model, Khyber Pakhtun Khwa. The current...
The study tried to find out the best ARIMA model that could be used to make efficient forecast of in...
The study focused on the analysis of growth and forecasting of BADC and national Boro seed productio...
Computing the growth of any entity over a time period is important for understanding the past behavi...
The main objective of the study is to develop the best Multiple Regression Model for measuring the s...
Rice production is sensitive to the climatic factors such as rainfall, maximum temperature, minimum ...
The study tried to find out appropriate models using seven contemporary model selection criteria tha...
Bangladesh is an agro-based developing country where rice is the dominant crop. And it is the staple...
The present study was undertaken to examine the rate of growth as well as forecasting and factor inf...
The study was undertaken to fit the best Auto-Regressive Integrated Moving Average (ARIMA) model tha...
The study develops a model to estimate the growth of both production and adoption of modern rice var...
Despite high pressure of population on land and other natural resources, Bangladesh has made remarka...
The study was undertaken to examine the best fitted ARIMA model that could be used to make efficient...
After independence, in 1971, Bangladesh faced an acute food shortage. Production of rice, the main c...
This study is an endeavor to determine the relationship of some of the selected climatic variables a...
Key words: Rice, area, production, forecast, quadratic trend model, Khyber Pakhtun Khwa. The current...
The study tried to find out the best ARIMA model that could be used to make efficient forecast of in...
The study focused on the analysis of growth and forecasting of BADC and national Boro seed productio...
Computing the growth of any entity over a time period is important for understanding the past behavi...
The main objective of the study is to develop the best Multiple Regression Model for measuring the s...
Rice production is sensitive to the climatic factors such as rainfall, maximum temperature, minimum ...