Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price changes. On the other hand, statistical properties of monthly price changes are often not fully cover...

Conventional time series analysis, focusing exclusively on a time series at a given scale, lacks the ability to explain the nature of the data generating process. A process equation that successfully explains daily price changes, for example, is unable to characterize the nature of hourly price changes. On the other hand, statistical properties of monthly price changes are often not fully cover...

todays, dynamic models are supposed as the most important tools in erosion and sediment phenomenadue to their complexities and existence of many affecting factors. towards, the present study wasconducted in the kojour watershed for daily sediment modeling using daily rainfall, discharge andsediment during 2007 to 2010. the modeling process was carried out all data and the monthly andseasonally ...

BACKGROUND Different dosing protocols have been used for vitamin D supplementation, but there has been a lack of comparative data among them. OBJECTIVE Our objective was to determine whether the same cumulative dose of vitamin D3 produces different effects if it is given daily, weekly, or monthly. DESIGN Women, age 81 +/- 8 yr (+/- sd, n = 48), who had undergone surgery to repair hip fractu...

While time series analyses have demonstrated that airborne particles are associated with early death, they have not clarified how much the deaths are advanced. If all of the pollution-related deaths were advanced by only a few days, one would expect little association between weekly averages of air pollution and daily deaths. The author used the STL algorithm to classify data on air pollution, ...