Semi-Empirical Approach to Evaluating Model Fit for Sea Clutter Returns: Focusing on Future Measurements in the Adriatic Sea
A method for evaluating Kullback–Leibler (KL) divergence and Squared Hellinger (SH) distance between empirical data and a model distribution is proposed. This method exclusively utilises the empirical Cumulative Distribution Function (CDF) of the data and the CDF of the model, avoiding data processi...
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| 格式: | 文件 |
| 语言: | English |
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MDPI AG
2024-12-01
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| 丛编: | Entropy |
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| 在线阅读: | https://www.mdpi.com/1099-4300/26/12/1069 |