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Article

1 Citations

4,092 Views

11 Pages

Generalizations of Rao–Blackwell and Lehmann–Scheffé Theorems with Applications

Seyf Alemam,
Hazhir Homei and
Saralees Nadarajah

Mathematics2023, 11(19), 4146;https://doi.org/10.3390/math11194146

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30 September 2023

Our aim in this paper is extending the applicability domain of the Rao–Blackwell theorem, our methodology is using conditional expectation and generalizing sufficient statistics, and one result is a generalization of the Lehmann–Scheff&ea...

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Article

7 Citations

8,974 Views

27 Pages

Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data

Richard M. Golden,
Steven S. Henley,
Halbert White and
T. Michael Kashner

Econometrics2019, 7(3), 37;https://doi.org/10.3390/econometrics7030037

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5 September 2019

Researchers are often faced with the challenge of developing statistical models with incomplete data. Exacerbating this situation is the possibility that either the researcher’s complete-data model or the model of the missing-data mechanism is...

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Article

183 Views

24 Pages

Data Fusion Method for Multi-Sensor Internet of Things Systems Including Data Imputation

Saugat Sharma,
Grzegorz Chmaj and
Henry Selvaraj

IoT2026, 7(1), 11;https://doi.org/10.3390/iot7010011

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26 January 2026

In Internet of Things (IoT) systems, data collected by geographically distributed sensors is often incomplete due to device failures, harsh deployment conditions, energy constraints, and unreliable communication. Such data gaps can significantly degr...

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