Abi, Faiza Rahmi Primary Author mixed material bibliography Bandung Magister Statistika Terapan, 2010 id Indonesia

vii,;31 hlm,;29 ,3 cm iers are commonplace in data analysis. Time series analysis is no exception. une series data are often subject to uncontrolled or unexpected intervention, from ich various type of outlying observations are produced. Outliers in time series .'del:lCDding on their nature, may have a moderat to significant effect on the ectiveness of the standard time series methodology. Two special cases are studied this article, they are Innovative Outlier (l0) and Additive Outlier (AO). An ive procedure is proposed to identify the outlier to remove their effect and to ify a tentative model for underlying process, as is described by Chang and Tiao 983). The concept of this procedure is applied to the data of volume rate of The ikapundung River at Pos Ouga Gandok . Abi, Faiza Rahmi Model Specification, Innovative Outlier, Additive 519.5 Perpustakaan Universitas Padjadjaran Kementerian Riset Teknologi dan Pendidikan Tinggi 519.5 Abi p/R.14.9 01001100700314 Perpustakaan Pusat (REF.14.9) 519.5 Abi p 20%252Fscan0001.jpg.jpg 11191 2017-04-01 15:44:34 2018-05-16 10:15:54 machine generated