{'fraction_non_alphanumeric': 0.011583011583011582, 'fraction_numerical': 0.0, 'mean_word_length': 5.407407407407407, '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}}
A new algorithm for parameters estimations of Multivariate Mixed Weibull Distributions with censoring data

Multivariate Mixed Weibull Distributions play an important role in life time data analysis. In this paper, by using the new algorithm, the maximize likelihood estimation is obtained for the multivariate mixed Weibull model under the normal stress life time test with complete sample data or censored samples. The iteration formulae are given in the paper. Simulation results show the performance of estimation.