Precipitation and Hydrologic Design

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Related lectures (29)

Page 2 of 3

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

Coupon Collector Problem: Part 1

Explores the coupon collector problem, analyzing the minimum number of balls needed for each bin to contain at least one ball.

Quantifying Statistical Dependence

Delves into quantifying statistical dependence through covariance, correlation, and mutual information.

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Probability and Statistics

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.

Gaussian Mixture Models & Noisy Signals

Explores Gaussian mixture models and denoising noisy signals using a probabilistic approach.

Confidence Intervals: Definition and Estimation

Explains confidence intervals, parameter estimation methods, and the central limit theorem in statistical inference.

Estimation Methods in Probability and Statistics

Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.

Hydrologic Design: Probability & Statistics

Explores the application of probability and statistics in hydrologic design, covering topics such as return period, risk assessment, and empirical data analysis.

Probability and Statistics

Explores joint random variables, conditional density, and independence in probability and statistics.