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LMS方法及其在流量数据中的应用

• 出版日期:2019-06-25 发布日期:2019-06-13

LMS Method and Its Application for Streaming Data

Su Yunan & Yu Keming

• Online:2019-06-25 Published:2019-06-13

Abstract: The LMS model is one of the most commonly used methods for the growth pattern analysis. The structure principle of LMS model is described in detail and two model algorithms are proposed based on the Streaming Data. The Fisher Information Matrix and the Penalzied Bayesian Posterior Likelihood algorithm are proposed respectively by applying 9 years’ streaming data from 1989 to 2011 from Chinese Health Nutrition Survey (CHNS). Based on the proposed LMS curve algorithm, we calculate Body Mass Index (BMI) to draw the growth pattern curve to study the growth and development of children and adolescents and the health problems of middleaged people in China. The results show that in the 20 years around the 21st century, the median BMI of adolescents and children aged 0-18 in China has increased by about 5%.There is an advance trend in the peak period of growth and development. The median BMI of middleaged people has increased by 10 % approximately, and the difference of body constitution among middleaged people over 55 years old tends to increase after 2000.