Aleksandar
June 14th, 2005, 03:27 PM
Hi...
I have a question and I hope someone will be able to answer it. I have been doing some analysis of ffailures. I have the year of installation, number of miles of installed material in each year, number of miles of replaced material in each year, and number of failures. I have managed to get the best fit curve for the number of failures. Now, I am trying to get the coefficients from the column for the number of failures for the weibull distribution. I got those coefficients (a, and b), and now, how do I generate the number of failures for each year (say 1000 times) in order to simulate this case so that I can get confiedence levels...For example, if in my original system, number of failures in year 25 was 50, and I estimated with my best fit curve it to be 46, I need to simulate this 1,000 times to see where is the confidence level, so that I can say that my failures will be 40 - 55 in year 25, but with probability of 95%, it will be between 45-49...Or something similar...Any help appreciated...
I have a question and I hope someone will be able to answer it. I have been doing some analysis of ffailures. I have the year of installation, number of miles of installed material in each year, number of miles of replaced material in each year, and number of failures. I have managed to get the best fit curve for the number of failures. Now, I am trying to get the coefficients from the column for the number of failures for the weibull distribution. I got those coefficients (a, and b), and now, how do I generate the number of failures for each year (say 1000 times) in order to simulate this case so that I can get confiedence levels...For example, if in my original system, number of failures in year 25 was 50, and I estimated with my best fit curve it to be 46, I need to simulate this 1,000 times to see where is the confidence level, so that I can say that my failures will be 40 - 55 in year 25, but with probability of 95%, it will be between 45-49...Or something similar...Any help appreciated...