Abstract A least-squares bilinear clustering framework for modelling three-way data, where each observation consists of an ordinary two-way matrix, is introduced. The method combines decompositions the matrices with over observations. Different clusterings are defined part decomposition, which decomposes matrix-valued observations into overall means, row margins, column margins and row–column i...

this paper used a general equilibrium model to evaluate the effects of adjustment polices. the model includes both demand and supply side equations. relationships concerning household and government income are also included in model. iterative three-stage least squares method is used-toestimatethe.model: then the mode/is used to simulate the effect of sevenaltemative policies on poverty and inc...

In regression analyses for deriving scaling laws that occur in various scientific disciplines, usually standard regression methods have been applied, of which ordinary least squares (OLS) is the most popular. However, concerns have been raised with respect to several assumptions underlying OLS in its application to scaling laws. We here discuss a new regression method that is robust in the pres...

to assess required growing degree days (gdd) for phenological stages of four clover species in different planting dates a field experiment was conducted in 2010-11 and 2011-12 cropping seasons in seed and plant improvement institute in karaj, iran. three planting dates (14 september, 28 september and 13 october) and six clover varieties were assigned to main plots and sub-plots, respectively, a...