Confronta i metodi

	Analisi ad Albero dei Guasti Multi-Risposta	Analisi statistica di affidabilità
Campo	Disegno sperimentale	Affidabilità
Famiglia	Process / pipeline	Regression model
Anno di origine	1961 (FTA); multi-response extensions developed from the 1980s onward	1998
Ideatore	H. A. Watson (Bell Labs); extended by W. E. Vesely and others for multi-output contexts	William Meeker & Luis Escobar
Tipo	Deductive reliability and risk analysis	Parametric lifetime modeling
Fonte seminale	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. U.S. Nuclear Regulatory Commission, NUREG-0492.	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
Alias	MR-FTA, multi-output fault tree analysis, multi-criterion fault tree analysis, multi-response FTA	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Correlati	5	3
Sintesi	Multi-response fault tree analysis (MR-FTA) extends classical fault tree analysis to systems where multiple distinct top-level failure events or outcome metrics must be evaluated simultaneously. Rather than constructing a single tree for one top event, the analyst builds and quantifies parallel trees — one per response — then aggregates results to rank critical failure paths across all responses at once, enabling holistic system risk prioritization.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.