From: bergervo@iae.nl   
      
   On 3/27/2019 12:10 PM, Savin Beniwal wrote:   
   > Hi all.   
   > Hope you're doing well.   
   >   
   > I have one query regarding ERROR-ANALYSIS. I want to get your comment/s on   
   this.   
   >   
   > Let's say we performed an experiment using some theoretical model and   
   > observational data points. Our aim is to get the best fit values of   
   > unknown parameters with their error using observations. Using some   
   > statistical techniques i.e. least square fitting or chi-square or MCMC,   
   > we got the best fit values and error for each parameter. Suppose the   
   > error of parameters is higher than their best-fit values   
   > i.e. [A=0.2+-1.5] here the best-fit value is 0.2 and error is 1.5.   
   >   
   > In this scenario what could you conclude from this experiment?   
      
   It seems the most important conclusion would be: A=0.2+-1.5, i.e.   
   the best-fit value is 0.2 and error is 1.5.   
      
   >     Please   
   > put your comments and thoughts.   
   >   
   > Thank you for your valuable response.   
      
   I'm not sure at all that what I wrote is so valuable.. (Of course I   
   could add that from this chi-square fit you'd conclude that a good   
   probability distribution to use for A, is a normal distribution with   
   mean 0.2 and sigma 1.5. Maybe that's slightly more valuable?)   
      
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   Jos   
      
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