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Impact of Measurement Errors on Estimators of Parameters of a Finite Population with Linear Trend Under Systematic Sampling

机译:系统抽样下测量误差对线性趋势有限总体参数估计量的影响

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The study involves investigating the impact of measurement errors on estimators of parameters of a finite population with linear trend among population values, under systematic sampling. The study provides deep understanding on the amount and nature of deviation introduced by errors and how these errors affect estimators of parameters of a population with linear trend. Consideration is given to measurement errors that assume a normal distribution. Systematic sampling technique is used where a sample of size n is selected randomly from a finite population with a fixed interval a. Systematic sampling is considered instead of simple random sampling in this case because of its effectiveness in dealing with linear trend. The explicit values of population totals, means and variances together with their estimates are derived. The results indicate that there can be overestimate of the population mean if the expected systematic errors tend towards positive values and underestimate if the expected systematic error tend towards negative values. When random errors are considered, there is no effect on estimated population parameters.
机译:该研究涉及在系统抽样下调查测量误差对有限总体参数估计量的影响,该参数具有总体价值之间的线性趋势。这项研究对由误差引起的偏差的数量和性质以及这些误差如何影响具有线性趋势的总体参数的估计量提供了深刻的理解。考虑假定正态分布的测量误差。使用系统采样技术,其中从具有固定间隔a的有限总体中随机选择大小为n的样本。在这种情况下,考虑使用系统抽样代替简单的随机抽样,因为它可以有效地处理线性趋势。得出人口总数,均值和方差及其估计值的显式值。结果表明,如果预期的系统误差趋向于正值,则总体均值可能被高估;如果预期的系统误差趋向于负值,则可能会低估总体均值。当考虑随机误差时,对估计的总体参数没有影响。

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