SURVEY MODELLING BY COMBINING INFORMATION THEORY AND STOCHASTIC METHODS

机译：信息理论与随机方法相结合的调查建模

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This paper presents a new application of information theory to the field of social research: survey modelling by noisy channels. Further, the informational entities characterising this noisy channel are computed. The accuracy of the model is evaluated using statistical tools: confidence limits for probability and statistical tests on probability. Such a model allows us to evaluate the correlation between answers and social categories. The experimental data was taken from a survey on life quality carried out by a social research institute in Bucharest in 2002.

机译：本文提出了信息理论在社会研究领域的新应用：通过嘈杂渠道进行调查建模。此外，计算表征该噪声信道的信息实体。使用统计工具评估模型的准确性：概率置信度限制和概率统计检验。这样的模型使我们能够评估答案和社会类别之间的相关性。实验数据取自布加勒斯特一家社会研究所2002年进行的生活质量调查。

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来源
《International Conference on Communications vol.1; 20040603-05; Bucharest(RO)》|2004年|P.209-214|共6页
会议地点 Bucharest(RO)
作者
ADRIANA VLAD; BOGDAN CHIRIAC; MIHAI MITREA;
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作者单位

Faculty of Electronics and Telecommunications, POLITEHNICA University of Bucharest;

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原文格式 PDF
正文语种 eng
中图分类通信;
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SURVEY MODELLING BY COMBINING INFORMATION THEORY AND STOCHASTIC METHODS

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