期刊
MATHEMATICS
卷 11, 期 19, 页码 -出版社
MDPI
DOI: 10.3390/math11194165
关键词
parametric bootstrap; one-way error component regression model; measurement errors; hypothesis test
类别
This paper considers a one-way error component regression model with measurement errors. The unknown parameter vector is estimated using the bias-corrected method, and its asymptotic properties are developed. For hypothesis testing of the coefficient parameter vector, a parametric bootstrap (PB) method is proposed. The effectiveness of the proposed PB test method is discussed through numerical simulations and real data analysis under different sample sizes and parameter configurations.
In this paper, a one-way error component regression model with measurement errors is considered. The unknown parameter vector is estimated by using the bias-corrected method, and its corresponding asymptotic properties are also developed. For the hypothesis testing problem of the vector of the coefficient parameter in the model, a parametric bootstrap (PB) method is proposed. Under various sample sizes and parameter configurations, the effectiveness of our proposed PB test method is discussed by using some numerical simulations and a real data analysis.
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