background: water is considered as the main source of life but water resources are limited and nonrenewable. different factors have caused groundwater to decrease. therefore, modeling and predicting groundwater level is of great importance. methods: monthly groundwater level data of about 20 years (october 1991 to february 2012) from the hamadan-bahar plain, west of iran were used based on peiz...

the sales proceeds are the most important factors for keeping alive profitable companies. so sales and budget sales are considered as important parameters influencing all other decision variables in an organization. therefore, poor forecasting can lead to great loses in organization caused by inaccurate and non-comprehensive production and human resource planning. in this research a coherent so...

Abstract The aim of time series homogenization is to remove nonclimatic effects, such as changes in station location, instrumentation, observation practices, and so on, from observed data. Statistical usually reduces the effects but does not them completely. In Spanish “MULTITEST” project, efficiencies automatic methods were tested on large benchmark datasets a wide range statistical properties...

an increase, even moderate, in global temperature is expected to result in a change in frequency of extreme weather events like drought, heavy rainfall and storms. the study of extreme events is difficult due to the fact that it is difficult to find long-term homogeneous data series. also the delimitation of extreme events is not univocal since a parameter value that would be defined as an extr...