Estimation of population parameters using sample extremes from nonconstant sample sizes

HIGHLIGHTS

  • who: Tiffany N. Kolba and Alexander Bruno from the Department of Mathematics and Statistics, Valparaiso University, Valparaiso, IN, United States of America have published the paper: Estimation of population parameters using sample extremes from nonconstant sample sizes, in the Journal: PLOS ONE of December/28,/2022
  • what: The authors examine the accuracy and precision of parameter estimates for both the exponential and normal distributions when using only a collection of sample extremes. The authors explore how varying the mean standard deviation and probability distribution of the sample sizes affects the estimation error. The authors seek . . .

     

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