Multiple-data-based monthly geopotential model set LDCmgm90

Sampling of Multiple Variables Based on Partially Ordered Set Theory

We introduce a new method for ranked set sampling with multiple criteria. The method relaxes the restriction of selecting just one individual variable from each ranked set. Under the new method for ranking, units are ranked in sets based on linear extensions in partially order set theory with considering all variables simultaneously. Results willbe evaluated by a relatively extensive simulation...

Eciency Measurement of Multiple Components units in Data Envelopment Analysis Using Common Set of Weights

Model-based methods to identify multiple cluster structures in a data set

There is an interest in the problem of identifying different partitions of a given set of units obtained according to different subsets of the observed variables (multiple cluster structures). A model-based procedure has been previously developed for detecting multiple cluster structures from independent subsets of variables. The method relies on model-based clustering methods and on a comparis...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

develop a non-parametric model to simulate monthly hydrological data

one of the water resources modeling requirements is sufficient knowledge of long-term series of meteorological and hydrological parameters. in this study the nearest neighbor resampling method presented by lall and sharma was developed. in the developed model, the knn regression was used for time series forecasting instead of local polynomial used in the developed algorithm by prairie. in this ...