Typically, the more information we have, the better estimates we can make However, we mentioned that when using the alternative parameter method, if we have more assessments than parameters then there may be no single distribution of that type which exactly matches all the assessments Discuss how having more information (assessments) can lead to ambiguity in the distribution choice instead of identifying a unique distribution In this case, is having more information bad

Question: Typically, the more information we have, the better estimates we can make. However, we mentioned that when using the alternative-parameter method, if we have more

Typically, the more information we have, the better estimates we can make. However, we mentioned that when using the alternative-parameter method, if we have more assessments than parameters then there may be no single of that type which exactly matches all the assessments. Discuss how having more information (assessments) can lead to ambiguity in the choice instead of identifying a unique In this case, is having more information bad?

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