摘要
城市居民家庭人均可支配收入是用以衡量城市居民收入水平和生活水平的最重要和最常用的指标,因此对预测结果的的精度要求较高.灰色马尔可夫链模型兼并了灰色预测和马尔可夫预测的优点,在城市居民收入的预测中有较高的应用价值.
Per capital annual disposable income of urban households is the most important and frequently - used index for measuring both the income level and the living standards of urban residents. Therefore, accurate predication is required. A Grey Markov model combines the merits of grey model and Markov chain, so it is more valuable in predication.
出处
《佳木斯大学学报(自然科学版)》
CAS
2008年第4期575-578,共4页
Journal of Jiamusi University:Natural Science Edition
关键词
灰色系统
马尔可夫链
城市居民收入
预测
Grey system
Markov chain
income of urban residents
predication