Laboratory works on Elements of Mathematical Statistics course
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Updated
Apr 30, 2018 - Jupyter Notebook
Laboratory works on Elements of Mathematical Statistics course
R file that looks at standard error, confidence intervals, and t-tests in a data set.
Exploring the confidence-Interval concept and bootstrapping.
Analyse efficacy of your own methods for calculating confidence interval
Created a version of the Correlation Matrix in a Diverging Bar Plot form using Stata. This version includes an addition of confidence interval (error bars) with the coefficient.
A repository with my DataCamp Python project practice.
Free WordPress Plugin: This sample size calculator enables you to calculate the minimum sample size and the margin of error. Learn about sample size, the margin of error, & confidence interval. www.calculator.io/sample-size-calculator/
Simple linear regression with confidence intervals
Review of bootstrap principles and coverage analysis of bootstrap confidence intervals for common estimators
COVID-19 mortality rate (Python). Original empirical study submitted for the Applied Predictive Modeling course during my second semester at HKBU - Master of Science in Data Analytics and Business Economics.
Plotting of the Confidence interval and Prediction interval for a Linear Regression model.
In this we have coded in python to get the regression equation and find the confidence interval and prediction interval.
Implementation of Statistical Inference Concepts for learners.
Basic Statistics-01 Solution for Questions on Basic statistics
Use the isthissignif python package to test whether or not your OLS regression model is "statistically significant" based on different criteria.
Past stastical inference projects in R
R package to calculate signed root deviance profiles for linear combinations of parameters in a glm. Multiple tests and simultaneous confidence intervals are provided.
Conducted A/B of new ad design
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