Application of ARIMA model in adjustment of seasonal and non-seasonal variations in births of Ontario.
"The objective of this paper is to justify the use of Autoregressive Integrated Moving Average (ARIMA) models for birth time series data of the province of Ontario [Canada]."  The results show that the model provides satisfactory short-term forecasts.  "It shows that along with seasonal varations, non-seasonal variations due to reporting etc. must be taken into account for interpreting similar time series data."  (summary in FRE, ITA)
Jain
R K
RK
Sharma
R D
RD
Jain
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D000569:Americas; D001723:Birth Rate; D002170:Canada; D003710:Demography; D019049:Developed Countries; D003906:Developing Countries; D005298:Fertility; D005544:Forecasting; D008722:Methods; D009656:North America; D011153:Population; D011157:Population Dynamics; D012106:Research; D012621:Seasons; D013223:Statistics as Topic; D013997:Time Factors
Americas; Birth Rate; Canada; Demographic Factors; Developed Countries; Developing Countries; Estimation Technics; Fertility; Fertility Measurements; Methodological Studies; North America; Northern America; Population; Population Dynamics; Population Forecast; Research Methodology; Seasonal Variation; Time Factors