Uncertainty Analysis in LCA

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Detecting and Correcting Parameter Errors in Power Grids

Explores methods for detecting and correcting parameter errors in power grids using statistical analysis and computational tools.

Precipitation and Hydrologic Design

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Vectors of Random Variables: Empirical Distributions

Discusses vectors of random variables and empirical distributions, including their properties and significance in statistics.

Intro to Quantum Sensing: Parameter Estimation and Fisher Information

Introduces Fisher Information for parameter estimation based on collected data.

Probabilistic Models for Linear Regression

Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.

Uncertainty Sources in LCA

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

Maximum Likelihood: Estimation and Inference

Introduces maximum likelihood estimation, discussing its properties and applications in statistical analysis.

Parameter Estimation

Introduces statistical inference concepts, focusing on parameter estimation, unbiased estimators, and mean estimation using independent random variables.

Bayesian Inference: Error Minimization

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