REMARKS ON THE ESTIMATION OF POSITION PARAMETERS

Publications

Share / Export Citation / Email / Print / Text size:

Statistics in Transition New Series

Polish Statistical Association

Central Statistical Office of Poland

Subject: Economics , Statistics & Probability

GET ALERTS

ISSN: 1234-7655
eISSN: 2450-0291

DESCRIPTION

0
Reader(s)
0
Visit(s)
0
Comment(s)
0
Share(s)

SEARCH WITHIN CONTENT

FIND ARTICLE

Volume / Issue / page

Related articles

VOLUME 18 , ISSUE 3 (September 2017) > List of articles

REMARKS ON THE ESTIMATION OF POSITION PARAMETERS

Czesław Domański

Keywords : estimation, the positional parameters, statistical models

Citation Information : Statistics in Transition New Series. Volume 18, Issue 3, Pages 549-558, DOI: https://doi.org/10.21307/stattrans-2016-086

License : (CC BY 4.0)

Published Online: 20-November-2017

ARTICLE

ABSTRACT

The article contains some theoretical remarks about selected models of position parameters estimation as well as numerical examples of the problem. We ask a question concerning the existence of possible measures of the quality of interval estimation and we mention some popular measures applied to the task. Point estimation is insufficient in practical problems and it is rather interval estimation that is in wide use. Too wide interval suggests that the information available is not sufficient to make a decision and that we should look for more information, perhaps by increasing the sample size.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

DOMAŃSKI, CZ., PEKASIEWICZ, D., BASZCZYŃSKA, A., WITASZCZYK, A., (2014). Testy statystyczne w procesie podejmowania decyzji, Wydawnictwo Uniwersytetu Łódzkiego, Łódź.

 

LEHMANN, E.L., (1991). Teoria estymacji punktowej, Wydawnictwo Naukowe PWN, Warszawa.

 

NEYMAN, J., (1935). On the problem of confidence intervals, The Annals of Mathematical Statistics 6, p. 111.

 

NEYMAN, J., (1937). Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Phil. Trans. Royal Soc. London, A 236, p. 333
STEIN, C., (1956). Efficient nonparametric testing and estimation, Proc. Third Berkeley Symp. Math. Statist. Probab. 1, pp. 187–195.

 

ZIELIŃSKI, R., (2011). Statystyka matematyczna stosowana. Elementy, Centrum Studiów Zaawansowanych Politechniki Warszawskiej, Warszawa.

EXTRA FILES

COMMENTS