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THE NEED FOR TEACHING WEIGHTED DISTRIBUTION THEORY: ILLUSTRATED WITH APPLICATIONS IN ENVIRONMENTAL STATISTICS

机译:加权分布理论的需要:用环境统计数据说明

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I review weighted distribution theory and applications in observational studies where biased data arise. Recorded observations will be biased and not have the original distribution unless every observation is given an equal chance of being recorded. G. P. Patil and C. R. Rao in 1977 wrote "Although the situations that involve weighted distributions seem to occur frequently in various fields, the underlying concept of weighted distributions as a major stochastic concept does not seem to have been widely recognized." The same quote is applicable today. Our profession is missing an opportunity to provide structure and understanding to a collection of isolated statistical methods for analysis of data from observational studies. Specifically, I present applications in study of wildlife and fish populations that should motivate undergraduate and graduate students of statistics who have an interest in environmental issues.
机译:我审查了加权分布理论和应用中的观察研究所产生的偏置数据。录制的观察将偏见,除非每次观察都有相同的录制机会,否则没有原始分布。 G. P. Patil和C. R. Rao于1977年写道:“尽管涉及加权分布的情况似乎在各个领域经常发生,加权分布的潜在概念似乎并不被广泛认可。”同样的报价今天适用。我们的职业缺少机会,为来自观察研究的数据分析数据的分离统计方法提供结构和理解。具体而言,我提出了在野生动物和鱼群研究中的应用,这些野生动物和鱼群应该激励对环境问题有兴趣的统计学院和研究生。

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