Non-parametric estimation of the availability in a general repairable system. - María Luz Gámiz; Yolanda Román-Montoya (Reliab. Eng. Syst. Saf., 2008)

Regression analysis of the structure function for reliability evaluation of continuous-state system. - María Luz Gámiz; María Dolores Martínez Miranda (Reliab. Eng. Syst. Saf., 2010)

Smoothed Estimation of a 3-State Semi-Markov Reliability Model. - María Luz Gámiz (IEEE Trans. Reliab., 2012)

Weighted Estimation of Component Reliability in Series Systems. - María Luz Gámiz (IEEE Trans. Reliab., 2012)

Bandwidth selection in marker dependent kernel hazard estimation. - María Luz Gámiz Pérez; Lena Janys; María Dolores Martínez Miranda; Jens Perch Nielsen (Comput. Stat. Data Anal., 2013)

Smoothing survival densities in practice. - María Luz Gámiz Pérez; María Dolores Martínez Miranda; Jens Perch Nielsen (Comput. Stat. Data Anal., 2013)

Nonparametric estimation in trend-renewal processes. - María Luz Gámiz; Bo Henry Lindqvist (Reliab. Eng. Syst. Saf., 2016)

Multiplicative local linear hazard estimation and best one-sided cross-validation. - María Luz Gámiz; María Dolores Martínez Miranda; Jens Perch Nielsen (J. Mach. Learn. Res., 2019)

Data visualization for reliability analysis of repairable systems. - María Luz Gámiz Pérez; Antonio Jesús López-Montoya; María Dolores Martínez Miranda; Rocío Raya-Miranda (Qual. Reliab. Eng. Int., 2019)

TTT-SiZer: A graphic tool for aging trends recognition. - María Luz Gámiz; Rafael Nozal-Cañadas; Rocío Raya-Miranda (Reliab. Eng. Syst. Saf., 2020)

A Machine Learning Algorithm for Reliability Analysis. - María Luz Gámiz; Fernando Jesus Navas-Gómez; Rocío Raya-Miranda (IEEE Trans. Reliab., 2021)

Missing link survival analysis with applications to available pandemic data. - María Luz Gámiz; Enno Mammen; María Dolores Martínez Miranda; Jens Perch Nielsen (Comput. Stat. Data Anal., 2022)

Hidden markov models in reliability and maintenance. - María Luz Gámiz; Nikolaos Limnios; Maria del Carmen Segovia (Eur. J. Oper. Res., 2023)

Unsupervised and supervised learning for the reliability analysis of complex systems. - María Luz Gámiz; Fernando Jesus Navas-Gómez; Rafael Nozal-Cañadas; Rocío Raya-Miranda (Qual. Reliab. Eng. Int., 2023)

Dynamic reliability and sensitivity analysis based on HMM models with Markovian signal process. - María Luz Gámiz; Fernando Jesus Navas-Gómez; Rocío Raya-Miranda; M. C. Segovia-García (Reliab. Eng. Syst. Saf., 2023)

Towards the Best Solution for Complex System Reliability: Can Statistics Outperform Machine Learning? - María Luz Gámiz; Fernando Jesus Navas-Gómez; Rafael Nozal-Cañadas; Rocío Raya-Miranda (CoRR, 2024)

A hierarchical decision-based maintenance for a complex modular system driven by the MoMA algorithm. - María Luz Gámiz; Delia Montoro-Cazorla; M. C. Segovia-García (Reliab. Eng. Syst. Saf., 2024)