This paper is a selective review of the development of the threshold model in time series analysis over the past 30 years or so. First, it re-visits the motivation of the model. Next, it describes the various expressions of the model, highlighting the principle underlying them and the main probabilistic and statistical properties. Finally, after listing some of the recent offsprings of the thre...

The structure of a tness landscape is still an ill de ned concept This paper introduces a statis tical tness landscape analysis that can be used on a multitude of tness landscapes The result of this analysis is a statistical model that together with some statistics denoting the explanatory and predictive value of this model can serve as a measure for the structure of the landscape The analysis ...

Wetland, as one of the weakest ecosystems in the world, is deteriorating rapidly in many regions. Longfeng wetland is the biggest urban wetland in China, located in the inner of Daqing city, Heilongjiang Province. It is divided into two areas by Wolong road, the east is provincial natural reserve and the west is unprotected. This paper describes a remote sensing change detection approach used t...

extended abstract 1. introduction climate change refers to the increase or decrease in the average climatic factors over a long period of time (i.e. more than 30 years). today, climate change has become a human concern and the scientific community are already aware of this fact. global temperature has followed an unprecedented increase over the last hundred years. based on synoptic climatology,...

identifications andanalysis of time series are time consuming, based on trial and error and highlydependent on expert judgments. this is mainly due to the presence of variousmodels for forecasting time series, as well as introducing new techniques foranalysis and predictions. in this paper, expert system structure is used toreplace traditional methods of model identifications for time series. f...

comparison of linear and nonlinear (bilinear) time series models in reference crop evapotranspiration prediction in urmia synoptic stationreference crop evapotranspiration (eto) prediction is one of the important elements in optimizing agricultural water consumption. in this regard, one of the prediction approaches is to use the stochastic time series methods. in this research, ar (p) and arma(...

fuzzy time series have been developed during the last decade to improve the forecast accuracy. many algorithms have been applied in this approach of forecasting such as high order time invariant fuzzy time series. in this paper, we present a hybrid algorithm to deal with the forecasting problem based on time variant fuzzy time series and particle swarm optimization algorithm, as a highly effici...