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並列摘要


The present paper addresses the propensity to vote with data from the third and fourth rounds of the European Social Survey. The regression of voting propensities on true predictor scores is made possible by estimates of predictor reliabilities (Bechtel, 2010; 2011). This resolves two major problems in binary regression, i.e. errors in variables and imputation errors. These resolutions are attained by a pure randomization theory that incorporates fixed measurement error in design-based regression. This type of weighted regression has long been preferred by statistical agencies and polling organizations for sampling large populations.

被引用紀錄


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Letha, A. J. (2009). Investigations on High Efficiency Thin Film Silicon Solar Cells [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2009.00149
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延伸閱讀


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  • 邱伶琳(2017)。The Vestige of Being〔碩士論文,國立臺北藝術大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0014-2401201712571000
  • 邱延正(2016)。The Essence of Constitutional Democracy復興崗學報(109),139-157。https://www.airitilibrary.com/Article/Detail?DocID=04298063-201612-201612270022-201612270022-139-157
  • Magkos, E., & Chrissikopoulos, V. (2002). Equitably Fair Internet Voting. 網際網路技術學刊, 3(3), 187-192. https://www.airitilibrary.com/Article/Detail?DocID=16079264-200207-3-3-187-192-a
  • Lai, S. K. (2012). Toward a Solution to Voting Dilemma. 社會科學論叢, 6(1), 59-71. https://doi.org/10.30401/RSS.201204_6(1).0003