2.1 1、Statistical or random experiment 2、Sample space or population Sample point, event 2.2 Stochastic or random variable (r. v.) 2.3 Probability 2.4 R.V. and probability density function
General linear models Suppose that we have a model: 1 It is inherently linear for the parameters if it can be transformed into Examples: 1. Exponential model: Y
1. Recall the assumption for the CMLRM: (Homoskedasticity) 2. Counterexamples 1、rich family and poor family expenditures; 2、large company and small company sales. There exists heteroskedasticity in lots of econometric problems