The Study on the Gray Interval Estimation of Normal Means in Variance Unknown

摘要

As is fairly well-known to us all,using a random sample of information on the parameter estimates are the basic elements of mathematical statistics, how to better carry out parameter estimation when we face to the vague or gray data? In Neyman's normal confidence interval for the mean and unknown variance estimation theory based on the help of the gray theory, the variance in the random. information under the unknown normal mean gray interval estimation problem better than the classical point estimate or Neyman's confidence interval estimation of effective information, and to the application examples.