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Lecture
Battery System Operation
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Related lectures (32)
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Interval Estimation: Method of Moments
Covers the method of moments for estimating parameters and constructing confidence intervals based on empirical moments matching distribution moments.
Ancillary Services from Active Distribution Networks
Covers the provision of multiple ancillary services from active distribution networks using a flexible asset.
Statistical Theory: Inference and Optimality
Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.
Soot Formation in Gas Fuels
Explores soot formation in gas fuels, emissions from gasoline and diesel, energy density of battery systems, and global carbon emissions.
Confidence Intervals: Margins, Coverage, Pivots
Explains margins of error, coverage, and pivots in constructing confidence intervals for scalar parameters.
Confidence Interval for Bernoulli Model Score
Explains how to calculate the confidence interval for the score parameter in the Bernoulli model.
Basic Concepts of Statistics: Weighing Three Objects
Covers basic statistics concepts, confidence intervals, t distribution, and experimental study strategies.
Numerical Simulation of SDEs: Monte Carlo & Optimal Control
Covers Monte Carlo methods, variance reduction, and stochastic optimal control, exploring simulation techniques, efficiency, and investment dynamics.
Variance Reduction Techniques
Covers variance reduction techniques in stochastic simulation to improve output quantity estimation accuracy.
Confidence Intervals: Gaussian Estimation
Explores confidence intervals, Gaussian estimation, Cramér-Rao inequality, and Maximum Likelihood Estimators.
