现代经济管理的英文

• modern economic management

• 现代    modern times; the contempora ...
• 经济管理    economic management
• 当代经济管理    contemporary economic & management
• 中国古代经济管理思想    economic management thought of ancient china
• 现代经济学    modern economics
• 现代经济日报    hyondae economic daily; hyondae kyongje ilbo
• 现代经济探讨    modern economic research
• 现代经济秩序    present economic order
• 现代经济治理    modern economic management
• 现代经营管理    modern operational management
• 经济管理    ba (hons) business administration/business studies; control of the economy; economic management; economical management; management of economy; management of the economy
• 经济管理系    department of economic management
• 经济管理学    geography with management studies; management with human resources
• 世界近现代经济史    analysis of experimental stress; modern history of world economy
• 现代经济的火车头    locomotive in modern economy
• 现代经济计量学    modern economertrics; modern econometrics
• 中国近现代经济史    economic history of modern china; history of recent & modern chinese economy; history of recent & history of recent &modern chinese economy; modern chinese economy
• 中国现代经济史    economic history of modern china
• 工业经济管理    industrial economy management
• 国防经济管理    management of national defence economy
• 国际经济管理    master en management et commerce international
• 宏观经济管理    macroeconomic management
• 华东经济管理    east china economic management
• 经济管理改善    administrative improvement
• 经济管理基础    fundamentals of economics and management

• This paper mainly deals with the multivariate bayesian inference theory used in the modern economical and management science . this includes the bayesian inference theory about three important kinds of linear models , including the single equation model , multiple equation model system and var ( p ) predictive model , and their application in economic forecasting and quality control , and also the design for the bayesian classification identification method among multiple populations
  本文主要研究现代经济管理中的多元贝叶斯推断理论，包括单方程模型、多方程模型系统和向量自回归var ( p )模型的贝叶斯推断理论及其在经济预测与质量控制中的应用，以及多总体的贝叶斯分类识别方法的构造。