简单随机抽样中七个非常实用的R函数

Seven Very Practical R Functions in Simple Random Sampling

摘要: 简单随机抽样是抽样技术中最基本、最成熟、最简单的抽样设计方式。本文利用R软件对简单随机抽样中的总体均值和总体总值的点估计和区间估计问题，样本量的确定问题，以及子总体总值均值的估计问题进行了程序实现。针对简单随机抽样，本文自编了七个非常实用的R函数(程序)：compute_Y_bar_srs()、compute_Y_srs()、compute_P_N1_srs()、compute_n0_n_Y_bar_srs()、compute_n0_n_P_srs()、compute_Y_j_srs()及compute_Y_bar_j_srs()，它们将会为需要使用简单随机抽样进行实际问题分析的使用者提供极大的方便。

Abstract: Simple random sampling is the most basic, mature, and simple sampling design method in sampling technology. In this paper, R software is used to program the point estimation and interval estimation of population mean and total value, the determination of sample size, and the estimation of total and mean value of sub population in simple random sampling. For simple random sampling, we compile seven very practical R functions (programs): compute_Y_bar_srs(), compute_Y_srs(), compute_P_N1_srs(), compute_n0_n_Y_bar_srs(), compute_n0_n_P_srs(), compute_Y_j_srs(), and compute_Y_bar_j_srs(), which will provide great convenience for users who need to use simple random sampling to analyze practical problems.