Strong convergence for weighted sums of \((\alpha, \beta)\)-mixing random variables and application to simple linear EV regression model (Q6595253)
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scientific article; zbMATH DE number 7903511
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Strong convergence for weighted sums of \((\alpha, \beta)\)-mixing random variables and application to simple linear EV regression model |
scientific article; zbMATH DE number 7903511 |
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Strong convergence for weighted sums of \((\alpha, \beta)\)-mixing random variables and application to simple linear EV regression model (English)
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30 August 2024
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The authors study the complete convergence and the Kolmogorov strong law of large numbers for weighted sums of \((\alpha,\beta)\)-mixing random variables. As an application, they find a necessary and sufficient condition for least squares estimates in simple linear errors-in-variables regression models.
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\((\alpha, \beta)\)-mixing random variables
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complete convergence
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strong law of large numbers
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simple linear errors-in-variables model
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