title: Application of ARIMA model in adjustment of seasonal and non-seasonal variations in births of Ontario.
abstract: "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)
authors.forename: R K
authors.initials: RK
authors.lastname: Jain
authors.forename: R D
authors.initials: RD
authors.lastname: Sharma
authors.forename: S
authors.initials: S
authors.lastname: Jain
mesh_terms: 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
keywords: 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