Statistical inference draws conclusions about a population [i.e., probability density function(DF)] from random sample that has supposedly been drawn from that population

Multiple Regression Model: A regression model with more than one explanatory variable, multiple because multiple nfluences (i.e., variables)affect the dependent variable

11.1 The Nature of Heteroscedasticity Homoscedasticity: equal variance. Heteroscedasticity: unequal variance. Heteroscedasticity is usually found in cross-sectional data

概述 财务评价 财务评价举例 改扩建项目和技术改造项目的财务评价 国民经济评价

One CLRM assumption is: The model used in empirical analysis is \correctly specified\

概述 盈亏平衡分析 敏感性分析 概率分析 风险决策

 静态评价方法  动态评价方法  投资方案的选择

 资金的时间价值及等值计算  利息与利息率  资金等值计算

Dummy variables (also indicator variables; binary variables categorical variables; dichotomous variables.) Qualitative variables in regression model For example: sex, race, color, religion, nationalit y, marital status, etc

8.1 随机决策问题的基本特点 8.2 随机性决策问题的基本分析方法 8.3 先验信息和主观概率 8.4 贝叶斯分析方法