| 1. | In addition let \ varepsilon be a vector of error terms.
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| 2. | In most cases, error terms are excluded from the graph.
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| 3. | One of these is that the error term has a constant variance.
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| 4. | Among other things, the error terms are normally and identically distributed.
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| 5. | The error term in the last equation is a rapidly decreasing function of.
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| 6. | Secondly, error terms are assumed to be serially independent and identically distributed.
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| 7. | Also note that we only need the error terms to be normally distributed.
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| 8. | The probit model assumes that the error term follows a standard normal distribution.
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| 9. | I don't know the error term.
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| 10. | Specifically, it is not typically important whether the error term follows a normal distribution.
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