In Search of a Precise Estimator Based on Imprecise Data

DOI

10.2991/asum.k.210827.070How to use a DOI?

Keywords

Imprecise observations, Interval-valued data, EM algorithm, Middle censoring, Symbolic data

Abstract

Statistics with interval-valued data are getting less interest from practitioners than it really deserves. This is partly because the solutions it offers are often too conservative and hence do not fully meet the expectations of potential users. Thus it is necessary to develop methods which, despite imprecise input data, will lead to more precise final statistical decisions. In the paper we discuss several refinement-oriented methods that may be useful in estimation based on interval-valued data.

Copyright

© 2021, 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  - Przemyslaw Grzegorzewski
AU  - Joanna Goławska
PY  - 2021
DA  - 2021/08/30
TI  - In Search of a Precise Estimator Based on Imprecise Data
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 530
EP  - 537
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.070
DO  - 10.2991/asum.k.210827.070
ID  - Grzegorzewski2021
ER  -