Prediction interval

Formal sciences
Statistics
Statistical inference
Statistical hypothesis testing

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Related lectures (32)

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General and Special Solutions

Explores general and special solutions, emphasizing their relative nature in different intervals.

Interspike Intervals & Renewal Processes

Explores interspike intervals, renewal processes, and escape noise experiments in neuronal dynamics.

Hypothesis Testing: Wilks' Theorem

Explores hypothesis testing using Wilks' Theorem, likelihood ratio statistics, p-values, interval estimation, and confidence regions.

Advanced Physics I: Trajectory and Velocity

Explores trajectory, velocity, and acceleration in advanced physics, emphasizing rectilinear motion and the importance of instantaneous velocity.

Confidence Interval for Bernoulli Model Score

Explains how to calculate the confidence interval for the score parameter in the Bernoulli model.

Battery System Operation

Explores a framework for scheduling a battery system to provide multiple ancillary services to the grid efficiently.

Estimation Criteria

Covers criteria for estimating parameters, emphasizing the importance of consistency, bias, variance, and efficiency of estimators.

Confidence Intervals and Hypothesis Tests

Covers confidence intervals, hypothesis tests, standard errors, statistical models, likelihood, Bayesian inference, ROC curve, Pearson statistic, goodness of fit tests, and power of tests.

Conditional queries: An Introduction to GIS

Covers conditional queries and joins in GIS, explaining operators and attribute selection based on conditions.

Basic Concepts of Statistics: Weighing Three Objects

Covers basic statistics concepts, confidence intervals, t distribution, and experimental study strategies.