I mean the mean and variance of the resulted Gaussian random variable??
Hello, you could find a nice and introductory example in the MINITAB blog "Explaining the Central Limit Theorem with Bunnies & Dragons" (http://blog.minitab.com/blog/michelle-paret/explaining-the-central-limit-theorem-with-bunnies-and-dragons-v2). You should take into consideration that the sum of random variables (known as convolution) is analytically complex for Weibull distributions. This has been asked here in RG before. See e.g. https://www.researchgate.net/post/How_can_I_calculate_the_convolution_of_two_Weibull_distributions
Hope this helps. Regards and good luck.
Hello, you could find a nice and introductory example in the MINITAB blog "Explaining the Central Limit Theorem with Bunnies & Dragons" (http://blog.minitab.com/blog/michelle-paret/explaining-the-central-limit-theorem-with-bunnies-and-dragons-v2). You should take into consideration that the sum of random variables (known as convolution) is analytically complex for Weibull distributions. This has been asked here in RG before. See e.g. https://www.researchgate.net/post/How_can_I_calculate_the_convolution_of_two_Weibull_distributions
Hope this helps. Regards and good luck.
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Applied Statistics