Data Analysis Techniques and Applications (Hardcover) (ISBN-13: 9783032137029)

Luis Carlos Méndez-González is a research professor in the Department of Industrial Engineering and Manufacturing at the Institute of Engineering and Technology, Autonomous University of Ciudad Juárez (UACJ). He is recognized as a member of Mexico's National System of Researchers (SNII) by the SECIHTI, and has extensive experience in the automotive, medical, and manufacturing industries. His research interests and journal publications cover a wide range of topics, including reliability analysis, statistical modeling, automation, machine learning, and data science.

Isidro Jesús González-Hernández received his Ph.D. in Strategic Planning and Technology Management from the Popular Autonomous University of the State of Puebla (UPAEP). He is a professor and researcher with Bachelor's and Postgraduate degrees in Industrial Engineering from the Autonomous University of the State of Hidalgo (UAEH). He is a National Researcher within the National System of Researchers (SNII) of SECIHTI in Mexico. His research interests include the design, modeling, optimization, and simulation of supply chains and logistics systems. He also focuses on statistical modeling for reliability analysis.

Manuel Iván Rodríguez Borbón is a researcher and consultant with expertise in industrial engineering, statistics, and data analysis. He holds a Ph.D. in Industrial Engineering from New Mexico State University (NMSU), where his doctoral thesis focused on a multi-factor reliability model with a Bayesian application to accelerated life testing. He also holds a Master of Science in Statistics from the University of Texas at El Paso and a Bachelor of Science degree in Industrial Engineering from the Instituto Tecnológico de Ciudad Juarez, Mexico.