Almon-KL estimator for the distributed lag model

A Distributed Lag Estimator with Piecewise Monotonic Coefficients

Linearly distributed-lag models as a time series tool have very useful applications in many disciplines. In these models, the dependent variable depends on one independent variable and its lags. The specification of the lag coefficients is a crucial question to the efficacy of a model. A new approach is proposed for the estimation of lag coefficients subject to the condition that the sequence o...

A linearly distributed lag estimator with r-convex coefficients

The purpose of linearly distributed lag models is to estimate, from time series data, values of the dependent variable by incorporating prior information of the independent variable. A least-squares calculation is proposed for estimating the lag coefficients subject to the condition that the rth differences of the coefficients are non-negative, where r is a prescribed positive integer. Such pri...

Role of Price on Replanting Decisions of Rubber: An Application of Almon Lag Model

Rubber is one of the major plantation crops cultivated in Sri Lanka. It gives an environmental service apart from its economic potential. To have a continuous supply of rubber, it is vital that the balance between mature and immature rubber stands be maintained in the long run. In order to do this, at least 3% of the total area under rubber needs to be re-planted annually. However, in the recen...

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...

Distributed lag inventory analyses