Search results for "Time series approach"
showing 4 items of 4 documents
Trends and Breaks in Per-Capita Carbon Dioxide Emissions, 1870-2028
2004
We consider per-capita carbon dioxide emission trends in 16 early industrialized countries over the period 1870-2028. Using a multiple-break time series method we find more evidence for very early downturns in per-capita trends than for late downturns during the oil price shocks of the 1970s. Only for two countries do downturns in trends imply downward sloping stable trends. We also consider trends in emission composition and find little evidence for in-sample peaks for emissions from liquid and gaseous fuel uses. These results lead us to reject the oil price shocks as events causing permanent breaks in the structure and level of emissions, a conclusion often made in analyses using shorter …
Confidence in work-related goals and feelings of exhaustion during a therapeutic intervention for burnout: A time-series approach
2008
This study investigated recursive relations between confidence in achieving work-related goals and work exhaustion among employees who participated in an intervention to reduce their burnout. Thirty-six employees of age 33-59 years suffering from severe burnout (28 females and 8 males) filled in burnout and well-being measures before and after a 10-month therapeutic intervention. They also filled in weekly measures of confidence in work-related goals (progress and capability) and work exhaustion throughout the intervention, as well as 4 weeks before and 4 weeks afterwards. Intra-individual variation was modelled using dynamic factor analyses. The results showed that, for most participants, …
Price convergence of peripheral European countries on the way to the EMU: A time series approach
2000
This paper examines price and inflation convergence between three European countries (Italy, Spain and the U.K.) and a European average and, alternatively, between them and Germany from the beginning of the 80's.
Use of neurofuzzy networks to improve wastewater flow-rate forecasting
2009
A neurofuzzy wastewater flow-rate forecasting model (NFWFFM) has been developed and tested with actual data measured at the input of two wastewater treatment facilities which treat the wastewater corresponding to 150,000 and 1,250,000p.e., respectively. Good agreements between forecasted and actual flow-rates were obtained. The artificial intelligence algorithm uses only two input variables (day of the week and average daily flow-rate of day before) and one output variable (predicted average daily flow-rate). Using three months data for training the network, a long-term forecast (one month) is made with average errors below 10%. Results were compared with those obtained by applying the Cens…