Improving on Probability Weighting for Household Size
نویسندگان
چکیده
منابع مشابه
Improving on Probability Weighting for Household Size
In survey sampling, inverse-probability weights are used to correct for unequal selection probabilities, and poststratification weights are used to correct for known or expected discrepancies between the sample and the population (see, e.g., Kish 1992). In this research note, we consider the effects of these adjustments for household size in telephone polling. In a survey in which households ar...
متن کاملImproving upon probability weighting for household size
By comparing data from national telephone polls to Census gures on household size (number of adults in household), we nd large diierences between population and sample, even after weighting respondents proportional to household size. This presumably occurs because larger households are easier to reach and more likely to respond to the survey. If a user wishes to weight on household size, we rec...
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Non-linear probability weighting is an integral part of descriptive theories of choice under risk such as prospect theory. But why do these objective errors in information processing exist? Should we try to help individuals overcome their mistake of overweighting small and underweighting large probabilities? In this paper, we argue that probability weighting can be seen as a compensation for pr...
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Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well known examples are in meta-analysis, where the inverse variance (precision) weight given to each contributing study varies, and in the analysis of clustered data. Differential weighting is also used when different p...
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We present a simple general scheme for improving margins that is inspired on well known margin theory principles. The scheme is based on a sample re-weighting strategy. The very basic idea is in fact to add to the training set new replicas of samples which are not classified with a sufficient margin. As a study case, we present a new algorithm, namely TVQ, which is an instance of the proposed s...
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ژورنال
عنوان ژورنال: Public Opinion Quarterly
سال: 1998
ISSN: 0033-362X
DOI: 10.1086/297852