small sample inferences

  1. A

    Is a kernel density estimation a good approach for small samples?

    If you have a relatively small sample of data points that has more than one mode and you want to estimate the distribution of the population it came from as well make inferences, is kernel density estimation the way to go?
  2. A

    How do I prove asymmetry of random counters?

    I am doing computer simulation of a certain random process. During the simultaion I have eight counters arranged symmetrically on a circle. I suspect that counters 1,3,5,7 count significantly less than counters 2,4,6,8. For instance in one such simulation I got counts 2083149, 2082863...