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The F-Test for Regression Analysis
The F-test, when used for regression analysis, lets you compare two competing regression models in their ability to “explain” the variance in the dependent variable.
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How Useful is F-test in Linear Regression?
Not very much, but we can improve it. Continue reading on Towards Data Science
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Is F1 the appropriate criterion to use? What about F2, F3,…, F beta?
According to many data scientists, the most reliable model performance measure is accuracy. It is not only the definitive model metric, there are many others, too. Periodically, the accuracy might be…...
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Comparison of F-test and mutual information
Comparison of F-test and mutual information This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3 distributed unifo...
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F1 to F-beta
Model Evaluation Image by Author F1 Score The F-1 score is a popular binary classification metric representing a balance between precision and recall. It is the Harmonic mean of precision and recall....
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F-Distribution Simply Explained
A simple and concise description of the F-Distribution Continue reading on Towards Data Science
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Hypothesis Testing
In any business scenario, any question can generally have two answers. Whenever we are faced with some problems, we have to make choices and to make those choices we use testing.
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Uncovered Interest Rate Parity and F-test on Regression Parameters using R
This post explains how to perform the F-test of joint parameter restrictions on a linear regression model. As an example, we use the data in Chen and Tsang (2013), who introduce so called relative Nel...
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F-statistic: Understanding model significance using python
In statistics, a test of significance is a method of reaching a conclusion to either reject or accept certain claims based on the data. In the case of regression analysis, it is used to determine…
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The Hypothesis Tester’s Guide
Hypothesis testing is the basis of classical statistical inference. It’s a framework for making decisions under uncertainty.
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Introduction to Hypothesis Test (Part One)
Understanding why and how to conduct hypothesis testing
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A/B Testing- part 2
This is the second post from my series on A/B testing. In part 1, we learned the idea behind an A/B test. In this post, I walk you through the statistics behind A/B testing and focus more on…
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A/B Testing- part 1
In this post I will walk you through the theory behind A/B testing.
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The Hypothesis Tester’s Appendix
If you’ve just read my article “Smart COVID-19 Decision-Making” and you’re used to classical statistical inference, you might notice I skipped a few steps. Let’s take a closer look by following along…...
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Hypothesis tests and p-value: a gentle introduction
Whenever statisticians are asked to make inference on some population parameters, which cannot be observed, they need to start from a representative sample of that population. However, once obtained…
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Hypothesis Testing, Characteristics, and Calculation
A hypothesis test is a statistical method to test the validity of a commonly accepted claim about a population. That commonly accepted claim is called a null hypothesis. Based on the p-value, we…
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Hypothesis testing, P-value and some statistical tests
We are going to understand hypothesis testing and P-value in detail and also conduct a few tests in python. If you are new to these terms, don’t worry! I got you covered. You went on a school trip…
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Evidence for the null hypothesis? A case of equivalence testing
Let’s say you run a study to test differences between kids' and adolescents' moral disgust to unfair treatment. After you collected data and run the analysis, you see that there were no significant…
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Essential Things You Need to Know About F1-Score
Learn about the key fundamentals of F1-score, one of the most important evaluation metrics in machine learning.
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Hypothesis and Pandera: Generate Synthesis Pandas DataFrame for Testing
Create Clean and Robust Tests with Property-Based Testing Continue reading on Towards Data Science
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Testing
Testing To run the regression tests, first install tox: then run it To run individual tests type:
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Testing
Testing Matplotlib uses the pytest framework. The tests are in lib/matplotlib/tests , and customizations to the pytest testing infrastructure are in matplotlib.testing . Requirements To run the tests ...
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Hypothesis Testing for Dummies
Hypothesis Testing is one of the essential topics to get a better and solid understanding of the derived result. Also, for me, it was one of those topics that baffled my mind for days and left me…
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A General Guidance of Hypothesis Testing
Hypothesis Testing, as such an important statistical technique applied widely in A/B testing for various business cases, has been relatively confusing to many people at the same time. This article…
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