Lectures related to Gaussian Breakdown: Return Time Distribution in Chemistry

Covers regression with exponential family responses using Generalised Linear Models.

Covers elementary distributions like Bernoulli, Binomial, Geometric, Negative Binomial, Poisson, and Multinomial.

Explains the structure of the alimentary canal and its different parts.

Covers statistical concepts like probability, estimation, hypothesis testing, and confidence intervals for mathematicians.

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Explores DNA structure, replication, transcription, mRNA translation, and gene expression regulation.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Covers continuous random variables, probability density functions, and distributions, with practical examples.