Concept

Measurement uncertainty

Related lectures (32)

Propagation of Uncertainty: Probability Density Function

Covers the propagation of uncertainty through the generation of probability density functions.

Real World Games: Negotiation Strategies

Delves into real-world games, negotiation strategies, and optimal agreements beyond Nash equilibrium.

Explores uncertainty analysis in Life Cycle Assessment, covering sensitivity, probability functions, parameter estimation, pedigree approach, and uncertainty propagation.

Expert Systems: Backward Chaining

Explores expert systems, backward chaining, and uncertainty through fuzzy logic in practical applications.

Propagation of Uncertainty: Model Measurements

Covers the propagation of uncertainty in model measurements and the importance of understanding errors.

Propagation of Uncertainty II

Explores the propagation of uncertainty in correlated variables and extreme correlations, Tchebychev inequality, confidence intervals, and Taylor series development.

Uncertainty Sources in LCA

Explores uncertainty sources in Life Cycle Assessment, emphasizing the need for accurate data and precise measurements.

Dynamic Material Flow Analysis

Explores dynamic Material Flow Analysis, including steady state, cohorts, energy requirements for Lithium extraction, and growth models.

Robust-RRT: Motion Planning for Uncertain Systems

Introduces Robust-RRT, a planner for motion planning under uncertainty in nonlinear systems, ensuring safe solution families are chosen.

Propagation of Uncertainty: Estimation and Distribution

Discusses estimation and propagation of uncertainty in random variables and the importance of managing uncertainty in statistical analysis.

Measurement Systems: Principles and Components

Covers the principles and components of measurement systems, including accuracy, uncertainty, and error classification.

Basics of Mobile Robotics: Uncertainties

Explores the basics of mobile robotics, emphasizing uncertainties and the Bayes filter algorithm.

Bayesian Inference: Error Minimization

Discusses error minimization in Bayesian inference and the importance of prior knowledge in the inference process.

Emergence of Informal Initiatives

Explores the emergence of informal transportation initiatives and challenges in African urban mobility.

PVT Variations, Uncertainty, and Monte-Carlo Simulations

Explores the impact of PVT variations, uncertainties in IC design, worst-case design paradigms, and the importance of Monte-Carlo simulations.

Thermodynamics in Metabolic Pathways

Delves into applying thermodynamics in metabolic pathways, discussing constraints, bi-directional reactions, and estimation methods.

Climate Change Adaptation

Explores climate change adaptation, including downscaling modeling, economic impacts, and the importance of adaptation in facing future challenges.

Universal Construction: Algorithm Explanation

Explores a simple universal construction algorithm using ConsentsObjects, highlighting its log-free nature and the uncertainty in operation termination.

Public Administration and Economic Measurement

Explores the impact of economic measurement choices on data visibility and governance, emphasizing the importance of defining categories for understanding and policymaking.

Significant Figures, Error Estimation, Notation

Covers significant figures, notation for derivatives, and error estimation methods.