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Sample Design for Materials and Components Industry Trend Survey
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 Title & Authors
Sample Design for Materials and Components Industry Trend Survey
NamKung, Pyong;
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 Abstract
This paper provides correct informations inflecting the present situation using the sample design in population that the National Statistical Office puts in operation of the mining and manufacturing industry statistical survey in 2006. This paper proposes new sampling design which is able to grasp business fluctuations and provide basic data for the rearing policy and management of the material industry and components industry. These sample design are the modified cut-off method and multivariate Neyman allocation using principal components and sampling method is the probability proportional systematic sampling.
 Keywords
Sample design;sampling error;modified cut-off method;PPS systematic sampling;
 Language
Korean
 Cited by
1.
절사표본에서 최적 절사점에 관한 연구,이상은;조민지;신기일;

응용통계연구, 2014. vol.27. 3, pp.501-512 crossref(new window)
1.
A Study on the Optimal Cut-off Point in the Cut-off Sampling Method, Korean Journal of Applied Statistics, 2014, 27, 3, 501  crossref(new windwow)
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Namkung, P., Byun, J. and Choi, J. (2007). Multivariate Neyman allocation using principle component analysis, ISI., 438

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Sethi, V. K. (1963). A note on optimum stratification of populations for estimating the population means, Australian Journal of Statistics, 5, 20-33 crossref(new window)