{'fraction_non_alphanumeric': 0.030523255813953487, 'fraction_numerical': 0.0, 'mean_word_length': 5.689320388349515, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
New Pareto clutter parameters estimators based on log-moments and fractional negative-moments

In this correspondence, we propose two methods for estimating the parameters of the Pareto radar clutter; namely the U-statistic estimator (USE) and the V-statistic estimator (VSE). The closed-form estimators are derived in terms of the data log-based moments, fractional moments and fractional negative moments. Simulation comparison with the order statistics and linear regression estimator (LRA) and the maximum likelihood estimator (MLE), show that the new estimators not only substantially reduce the computational requirements but also yield more accurate and lower variances parameters.