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PDF | On Jan 1, 2002, Simon Petit-Renaud published Statistical Inference for Uncertain and Fuzzy Data. | Find, read and cite all the research you need on ...
Bibliographic details on Statistical Inference for Uncertain and Fuzzy Data.
Feb 15, 2023 · We introduce a general theory of epistemic random fuzzy sets for reasoning with fuzzy or crisp evidence.
Aug 11, 2021 · A constant stream of contributions has expanded statistical reasoning to incorporate fuzzy data and fuzzy uncertainty since the late 1960s.
(PDF) Statistical Inference of Uncertain Autoregressive Model via ...
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6 days ago · In view of this, this paper proposes a statistical inference method based on the principle of least squares to determine the unknown parameters ...
Feb 9, 2017 · It presents three types of statistic inference problems with imprecise observations that are the point estimation, the hypothesis test, and the ...
Feb 17, 2021 · Nonparametric regression analysis is a useful method to explore the relationships among the variables when a parametric form is not known.
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This paper proposes least squares estimation of uncertain nonparametric regression model to explore the functional relationships between response variable and ...
In view of this, this paper proposes a statistical inference method based on the principle of least squares to determine the unknown parameters and uncertain ...
In this paper we focus on model-based statistical signal processing and how some problems that are associated with it can be solved using fuzzy logic.