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StatsModel Library - Tutorial

Last Updated: 05 March 2026

The StatsModels library in Python is a tool for statistical modeling, hypothesis testing and data analysis. It provides built-in functions for fitting different types of s...read more

Confidence and Prediction Intervals with Statsmodels

Last Updated: 23 July 2025

In statistical analysis, particularly in linear regression, understanding the uncertainty associated with predictions is crucial. Confidence intervals and prediction inter...read more

How to Obtain ANOVA Table with Statsmodels

Last Updated: 23 July 2025

Analysis of Variance (ANOVA) is a statistical method used to analyze the differences among group means in a sample. It is particularly useful for comparing three or more g...read more

Extracting Regression Coefficients from statsmodels.api

Last Updated: 23 July 2025

data analysis and machine learning, regression analysis is a fundamental tool used to understand relationships between variables. Python's statsmodels library provides a p...read more

How to Get Regression Model Summary from Scikit-Learn

Last Updated: 23 July 2025

In this article, we are going to see how to get a regression model summary from sci-kit learn.It can be done in these ways:Scikit-learn PackagesStats model packageExample ...read more

Linear Regression in Python using Statsmodels

Last Updated: 23 July 2025

In this article, we will discuss how to use statsmodels using Linear Regression in Python.Linear regression analysis is a statistical technique for predicting the value of...read more

How to Perform a Breusch-Pagan Test in Python

Last Updated: 02 March 2022

Heteroskedasticity is a statistical term and it is defined as the unequal scattering of residuals. More specifically it refers to a range of measured values the change in ...read more

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How to Perform McNemar’s Test in Python

Last Updated: 28 February 2022

McNemar's Test: This is a non-parametric test for the paired nominal data. This test is used when we want to find the change in proportion for the paired data. This test i...read more

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How to Perform a Repeated Measures ANOVA in Python

Last Updated: 28 February 2022

Repeated measures ANOVA in Python is used to find whether there is a statistically significant difference exists between the means of three or more groups in which the sam...read more

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Introduction to Power Analysis in Python

Last Updated: 26 March 2021

To understand what power analysis is, we must first take a look at the concepts of a statistical hypothesis test. A statistical hypothesis test calculates some quantity un...read more

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statsmodels.robust_kurtosis() in Python

Last Updated: 10 May 2020

With the help of statsmodels.robust_kurtosis() method, we can calculate the four kurtosis value by using statsmodels.robust_kurtosis() method.Syntax : statsmodels.robust_k...read more

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statsmodels.expected_robust_kurtosis() in Python

Last Updated: 10 May 2020

With the help of statsmodels.expected_robust_kurtosis() method, we can calculate the expected value of robust kurtosis measure by using statsmodels.expected_robust_kurtosi...read more

statsmodels.robust_skewness() in python

Last Updated: 22 April 2020

With the help of statsmodels.robust_skewness() method, we can calculate the four skewness measures in Kim White.Syntax : statsmodels.robust_skewness(array, axis)Return :...read more

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statsmodels.medcouple() in Python

Last Updated: 22 April 2020

With the help of statsmodels.medcouple() method, we can calculate the medcouple robust measure of skew.Syntax : statsmodels.medcouple(array, axis)Return : Return the med...read more

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statsmodels.omni_normtest() in Python

Last Updated: 22 April 2020

With the help of statsmodels.omni_normtest() method, we can get the omnibus test for normality and we use chi^2 score for this statsmodels.omni_normtest() method.Syntax : ...read more

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