Abstract: The paper puts forward two ways of thinking on stratified sampling estimation, the longitudinal auto-egression and multi-compound estimation method. The longitudinal auto-regression method probes into estimate of population mean based on the linear regression relationship between the means of the strata under investigation and ancillary characteristics. The multi-compound estimation method estimates the means of the strata separately by different methods and the population parameter is taken from these estimates. The paper further analyses conditions for the application of these methods; estimates and their error term; advantages and disadvantages and other problems of the two problems.