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首页> 外文期刊>Open Journal of Statistics >An Examination of Male and Female Monthly Employment Rates over Time in Canada and the United States Using Hidden Markov Probability Models
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An Examination of Male and Female Monthly Employment Rates over Time in Canada and the United States Using Hidden Markov Probability Models

机译:使用隐马尔可夫概率模型检验加拿大和美国随时间推移的男女月度就业率

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摘要

In this paper, we will illustrate the use and power of Hidden Markov models in analyzing multivariate data over time. The data used in this study was obtained from the Organization for Economic Co-operation and Development (OECD. Stat database url: https://stats.oecd.org/) and encompasse d monthly data on the employment rate of males and females in Canada and the United States (aged 15 years and over; seasonally adjusted from January 1995 to July 2018) . Two different underlying patterns of trends in employment over the 23 year s observation period were uncovered.
机译:在本文中,我们将说明隐马尔可夫模型在分析随时间变化的多元数据中的用途和功能。本研究中使用的数据来自经济合作与发展组织(OECD。Stat数据库URL:https://stats.oecd.org/),其中包括每月男性就业率数据以及加拿大和美国的女性(年龄在15岁以上;从1995年1月到2018年7月进行季节性调整)。在23年的观察期内,发现了两种不同的就业趋势基本模式。

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