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利用同期短时间序列预测技术替代AI 解读

It has been shown in the literature that the data of technological substitutions exhibit a strong correlation across different time periods, that is, a strong serial correlation. Significant improvement in predicting such substitutions has been achieved by incorporating serial correlation and power transformation parameters into four growth curve models. The modified models, or data-based transformed models, however, break down when the number of time points is small. This…

复多元正态总体中特定协方差结构检验的似然比统计量分布AI 解读

This paper examines approximations to the distributions of the likelihood ratio statistics for testing hypotheses about certain structures for the covariance matrices of complex multivariate normal populations. Some applications of these distributions to inference on multiple time series are also discussed.

复多元正态总体中若干协方差结构检验的似然比统计量分布AI 解读

This paper examines approximations to the distributions of the likelihood ratio statistics for testing hypotheses about certain structures for the covariance matrices of complex multivariate normal populations. Some applications of these distributions to inference on multiple time series are also discussed.