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prob-stat-22-project πŸ“ŠπŸ“ˆ

This is a Collaboratory hands on project on the consolidated learning in the 'Probability and Statistics with R' coursework.

Collaborators 🀝

Adarsha Mondal: Github Profile

Rohan Karthikeyan: Github Profile

Sulagna Barat: Github Profile

Description of the assignment problems πŸ“ƒ

  • Problem 1

We analyze how well the Geometric and the Poisson distributions fit the number of goals scored by the home team in a set of football matches.

  • Problem 2

We simulate random samples from the Gamma distribution and perform some analyses of its distribution.

  • Problem 3

We fit mixture models to the waiting variable in the faithful dataset.

  • Problem 4

Fiiting four regression models consists of target variable with different pdfs. Also, calculating the Bayesian Information Criterion for each model. (Dataset)

Problem 5

We fit linear regression models to the stock prices from the quantmod package.

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This is a Collaboratory hands on project on the consolidated learning in the 'Probability and Statistics with R' coursework. Happy Learning !!

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