Find an answer. See the moment it becomes clear. Follow the idea further.
Understanding your question. You can explore the search results below now.
Under the total-trials convention, the mean number of trials needed to achieve r successes is .
Conditions: Using the total-trials convention (counting all trials).; Success probability .
Under the total-trials convention, the mean number of trials needed to achieve r successes is .
Conditions: Using the total-trials convention (counting all trials).; Success probability .
A binomial model fixes the number of trials and counts the number of successes. In contrast, a negative binomial model fixes the target number of successes and counts the number of trials needed to reach that target.
Conditions: Trials are independent.; Success probability is constant.
A binomial model fixes the number of trials and counts the number of successes. In contrast, a negative binomial model fixes the target number of successes and counts the number of trials needed to reach that target.
Conditions: Trials are independent.; Success probability is constant.