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Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology

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Abstract

In order to solve the shortcomings and defects of the existing sampling survey methods, a simple estimator is constructed for sampling inference. Due to less consideration of continuous sampling estimation, the improvement of the overall sampling accuracy is limited to a certain extent. Therefore, the generalized optimal regression sampling estimation method under wireless communication technology is proposed. According to wireless communication technology, the generalized optimal regression sampling estimator is constructed. Based on this, the properties of the generalized optimal regression sampling estimator, asymptotic design unbiased and consistent, are analyzed. The generalized optimal regression estimation is carried out under the two sampling methods of first-order unit sampling and continuous multi-order sampling, and the estimation of generalized optimal regression sampling is realized. The empirical test results show that: compared with the existing methods, the estimation efficiency of the proposed method is larger, which fully shows that the estimation performance of the proposed method is better.

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  1. South-Central Minzu University, Wuhan, China

    Xiaowei Ding

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  1. Xiaowei Ding
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Ding, X. Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology. Int J Wireless Inf Networks 28, 234–242 (2021). https://doi.org/10.1007/s10776-021-00518-7

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  • DOI: https://doi.org/10.1007/s10776-021-00518-7

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