澳大利亚心理健康得分分布的比较

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY
D. Gunawan, William E. Griffiths, D. Chotikapanich
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引用次数: 0

摘要

获得澳大利亚心理健康得分分布的贝叶斯非参数估计,以评估人口的心理健康状况如何随时间变化,并比较女性/男性和土著/非土著人口亚群的心理健康状况。一阶和二阶随机优势被用来比较分布,结果以优势的后验概率和无优势的后验概率表示。如果满足优势的标准,那么,根据该标准,优势群体的心理健康状况优于劣势群体。如果两种分布都不占优势,那么在同样的意义上,两种人口的心理健康状况都不占优势。结果显示,近年来原住民的心理健康状况有所恶化,男性的心理健康状况好于女性,非原住民的心理健康状况好于原住民。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparisons of distributions of Australian mental health scores
Summary Bayesian non‐parametric estimates of Australian distributions of mental health scores are obtained to assess how the mental health status of the population has changed over time, and to compare the mental health status of female/male and Aboriginal/non‐Aboriginal population subgroups. First‐order and second‐order stochastic dominance are used to compare distributions, with results presented in terms of the posterior probability of dominance and the posterior probability of no dominance. If a criterion for dominance is satisfied, then, in terms of that criterion, the mental health status of the dominant population is superior to that of the dominated population. If neither distribution is dominant, then the mental health status of neither population is superior in the same sense. Our results suggest mental health has deteriorated in recent years, that males' mental health status is better than that of females, and that non‐Aboriginal health status is better than that of the Aboriginal population.
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来源期刊
Australian & New Zealand Journal of Statistics
Australian & New Zealand Journal of Statistics 数学-统计学与概率论
CiteScore
1.30
自引率
9.10%
发文量
31
审稿时长
>12 weeks
期刊介绍: The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems.
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