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| 02131cam 2200325za 4500 |
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| 001 | 9.838115 |
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| 003 | CaOODSP |
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| 005 | 20221107151313 |
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| 007 | cr ||||||||||| |
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| 008 | 170612s1987 onc |o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-614/87-12E-PDF |
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| 100 | 1 |aDagum, Estela Bee. |
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| 245 | 10|aSeasonal adjustment in the 80's |h[electronic resource] : |bsome problems and solutions / |cEstela Bee Dagum, Guy Huot and Marietta Morry. |
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| 260 | |aOttawa : |bStatistics Canada, |c[1987]. |
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| 300 | |a25, [3] p. : |bfigures. |
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| 490 | 1 |aWorking paper ; |v87-12 |
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| 500 | |aDigitized edition from print [produced by Statistics Canada]. |
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| 500 | |a"Working Paper TSRA-87-012E." |
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| 504 | |aIncludes bibliographic references. |
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| 520 | 3 |a"Most statistical bureaus do not apply uniform practices for the seasonal adjustment of related series and, consequently, the presence of inconsistencies may occur. This lack of uniformity results mainly from the fact that: (1) the seasonal adjustment method, the X-11-ARIMA, can be used in four different modes (each mode producing different current seasonally adjusted values of the same series); and (2) that most key economic and social indicators are large aggregates and the results differ whether they are seasonally adjusted directly or indirectly (through the aggregation of each of the seasonally adjusted components). Other problems faced currently by Statistics Canada and other statistical bureaus which will also be discussed in this paper are: the smoothing of highly irregular seasonally adjusted series, the estimation of trading day variation and the estimation of Easter effect"--Abstract. |
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| 692 | 07|2gccst|aStatistical analysis |
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| 692 | 07|2gccst|aMethodology |
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| 700 | 1 |aHuot, Guy. |
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| 700 | 1 |aMorry, M. |
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| 710 | 1 |aCanada. |bStatistics Canada. |bMethodology Branch. |
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| 830 | #0|aWorking paper (Statistics Canada. Methodology Branch)|v87-12|w(CaOODSP)9.834763 |
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| 856 | 40|qPDF|s2.87 MB|uhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-614-87-12-eng.pdf |
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