Medical Trend Analysis Methods

dc.contributor.advisor Wu, Qiang en_US Yin, Le en_US
dc.contributor.committeemember Hong, Don en_US
dc.contributor.committeemember Sinkala, Zachariah en_US
dc.contributor.department Basic & Applied Sciences en_US 2014-06-02T19:01:54Z 2014-06-02T19:01:54Z 2014-12-31 en_US
dc.description.abstract Medical trend is the most important component used to indicate and file rates. Insurance companies use trend to forecast future costs and premiums. Governments use medical trend in the rate review process. This thesis reviews four methods used to find a trend factor: average ratio, linear regression, exponential regression and time series analysis method with rolling average technology. A software package is developed to calculate medical trend based on annual data or monthly data. An efficient method to detect the outliers is also presented. en_US M.S. en_US
dc.publisher Middle Tennessee State University en_US
dc.subject Average ratio method en_US
dc.subject Medical trend en_US
dc.subject Outlier detection en_US
dc.subject Regression method en_US
dc.subject Rolling average en_US
dc.subject Time series analysis en_US
dc.subject.umi Mathematics en_US
dc.thesis.degreegrantor Middle Tennessee State University en_US
dc.thesis.degreelevel Masters en_US
dc.title Medical Trend Analysis Methods en_US
dc.type Thesis en_US
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