Fiducial Interval Estimation of Scale Parameter of Lognormal Population Distribution

DOI

10.2991/emcs-16.2016.377How to use a DOI?

Keywords

Lognormal population; Fiducial distribution; Interval estimation; Method of fiducial inference; Scale parameter

Abstract

Using a new method to solve fiducial interval estimation of parameter, the method of fiducial inference can obtain the fiducial interval estimation of scale parameter of lognormal population distribution.the method intuitive novelty special.But fiducial distribution maybe different if use different inference method while looking for fiducial distribution, this cause the interval of the parameter that we achieved not unique. We can receive very similar interval estimation by use of fiducial inference and Neyman’s method, sometimes even exactly the same, but it is completely different in explanation; while sometimes the result we received by use of fiducial inference is better than use of Neyman’s theory, even can solve the problem that the theory of Neyman can not solve.All these fully shown the special and novelty of the method.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiuzhen Li
AU  - Quanquan Li
AU  - Yanying Ma
AU  - Lisa Zhu
AU  - Na Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Fiducial Interval Estimation of Scale Parameter of Lognormal Population Distribution
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1504
EP  - 1506
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.377
DO  - 10.2991/emcs-16.2016.377
ID  - Li2016/01
ER  -