总体样本方差及其统计性质的抽样估计:一个混合模型案例

K. Dozie
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引用次数: 0

摘要

本文提出了混合模型总体样本方差的估计方法,并与加性和乘性模型进行了比较。估计程序是基于在投票表中排列的时间序列数据的行、列和总体均值和方差。该过程假定(1)变量X i j, i = 1,2,…的底层分布, m, j = 1,2,…, s,在研究中是正常的。(2)趋势曲线为线性或二次曲线;(3)分解方法为乘法或混合方法。本研究还考虑了投票表总体样本方差的统计特性。结果表明,在上述假设条件下,总体样本方差的期望值包括趋势参数和季节指标的平方和和叉积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Buys-Ballot Estimates for Overall Sample Variances and Their Statistical Properties: A Mixed Model Case
This article proposes an estimation procedure of overall sample variances for the mixed model while comparing them with those of the additive and multiplicative models. The estimation procedure is based on the row, column and overall means and variances of time series data arranged in a Buys-Ballot table. The procedure assumes that (1) the underlying distribution of the variable, X  i j ,  i = 1, 2, ..., m , j = 1, 2, ..., s , under study is normal. (2) the trending curve is either linear or quadratic and (3) the decomposition method is either multiplicative or mixed. Statistical properties of the overall sample variances of the Buys-Ballot table are also considered in this study. Result indicates that, under the stated assumptions, the expected value of the overall sample variances involve sum of square and cross-product of trend parameters and seasonal indices.
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