• Title/Summary/Keyword: SDAC

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Small Area Estimation Using Bayesian Auto Poisson Model with Spatial Statistics (공간통계량을 활용한 베이지안 자기 포아송 모형을 이용한 소지역 통계)

  • Lee, Sang-Eun
    • The Korean Journal of Applied Statistics
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    • v.19 no.3
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    • pp.421-430
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    • 2006
  • In sample survey sample designs are performed by geographically-based domain such as countries, states and metropolitan areas. However mostly statistics of interests are smaller domain than sample designed domain. Then sample sizes are typically small or even zero within the domain of interest. Shin and Lee(2003) mentioned Spatial Autoregressive(SAR) model in small area estimation model-based method and show the effectiveness by MSE. In this study, Bayesian Auto-Poisson Model is applied in model-based small area estimation method and compare the results with SAR model using MSE ME and bias check diagnosis using regression line. In this paper Survey of Disability, Aging and Cares(SDAC) data are used for simulation studies.

A Compression Study on a Synthetic Talc (합성 활석에 대한 압축 연구)

  • Kim, Young-Ho;Kim, Soon-Oh
    • Journal of the Mineralogical Society of Korea
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    • v.27 no.4
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    • pp.283-291
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    • 2014
  • Talc ($Mg_3Si_4O_{10}(OH)_2$), one of sheet silicates, is soft and has been widely used in industry. Powdered talc specimen was synthesized at the pressure of 200 MPa and temperature of $600^{\circ}C$ using external heated hydrothermal high pressure apparatus. High pressure angular dispersive X-ray diffraction (ADXRD) mode experiments were performed at the Pohang Light Source (PLS) using the symmetrical diamond anvil cell (SDAC). Compression pressure was loaded up to 11.06 GPa at room temperature. This synthetic talc shows no phase transition(s) within the present pressure limit. Based on ADXRD data, bulk modulus of talc was calculated to be 72.4 GPa using Birch-Muranghan equation of state (EOS). This value is lower than that of natural talc determined previously.