Abstract Details
|
Activity Number:
|
254
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 4, 2014 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistics and the Environment
|
|
Abstract #312409
|
|
|
Title:
|
Maximum Likelihood Estimation of K Distribution: Application to the Environmental Data
|
|
Author(s):
|
Koji Kanefuji*+
|
|
Companies:
|
Institute of Statistical Mathematics
|
|
Keywords:
|
Water quality data ;
Lognormal
|
|
Abstract:
|
We propose the maximum likelihood estimators of the K distribution. This distribution has the same properties as the BS distribution in some aspects. For example, X/a and a/X are distributed as the same distribution. In the statistical analysis for environmental area studies, this type of property is very important. The K distribution has good character in the MLE. In this study, we also apply it to the real water quality data.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.