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  1. M

    Sum of two normal distributions

    You're right. I might be not very clear. Canonical way to parametrize a mixture, with respective weights summing up to one would give me a pdf in result. I don't want to have that. Instead I want to have a gaussian-like (or "gaussian mixture like") distribution that is normalized to a certain...
  2. M

    Sum of two normal distributions

    Thank You. The distribution represents the number of occurrences for a physical process so it's not a probability density normalized to one.
  3. M

    Sum of two normal distributions

    Thank You for all replies. I think I wasn't clear with my question and we're talking about two different things. What You refer to is the sum of two (or more) normally distributed random variables. What I am using is a sum (mixture) of two normal distributions, which I use to fit the model with...
  4. M

    Sum of two normal distributions

    Hello, I'm doing data analysis research and currently I'm trying to fit the simple model to a data sample. From physical speculations I know that the distribution should be a sum of two normal distributions with different parameters (mean, width, area). I fitted my data with the model and it...