Statistical Aspects

Author:

Giron-Sierra Jose Maria

Publisher

Springer Singapore

Reference103 articles.

1. M.A. Al-Fawzan, Methods for Estimating the Parameters of TheWeibull Distribution (King Abdulaziz City for Science and Technology, Saudi Arabia, 2000). http://interstat.statjournals.net/YEAR/2000/articles/0010001.pdf

2. S.J. Almalki, S. Nadarajah, Modifications of the Weibull distribution: A review. Reliab. Eng. Syst. Saf. 124, 32–55 (2014)

3. E. Anderson, Monte Carlo Methods and Importance Sampling. Lecture Notes, UC Berkeley (1999). http://ib.berkeley.edu/labs/slatkin/eriq/classes/guest_lect/mc_lecture_notes.pdf

4. C. Andrieu, N. De Freitas, A. Doucet, M.I. Jordan, An introduction to MCMC for machine learning. Mach. Learn. 50(1–2), 5–43 (2003)

5. G. Arroyo-Figueroa, L.E. Suear, A temporal Bayesian network for diagnosis and prediction, in Proceedings 15th Conference Uncertainty in Artificial Intelligence (Morgan Kaufmann Publishers Inc, 1999), pp. 13–20

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