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Areas Served: Understanding the Inner Mechanics of the Granger Causality Test
Author(s): Guenter Bauer Originally published on Towards AI. Advanced Plotting of Decomposed Time Series Photo by Chad Kirchoff on Unsplash In time series forecasting it is often helpful to use additional (exogenous) variables in order to improve the forecast accuracy of your …
Explaining Hypothesis Testing to a High School Student — Part 1
Author(s): Anmol Tomar Originally published on Towards AI. An Intuition Image by Author In the realm of data science, hypothesis testing holds immense significance as a powerful tool for making informed decisions based on observed data. By systematically examining assumptions and evaluating …
Signing off,
Author(s): Hitesh Hinduja Originally published on Towards AI. Comparative Analysis of Popular Statistical Tests: Which One to Use When? Let me begin by sharing my experience in detail. During my early years in the corporate world, my mentor imparted a piece of …
Statistics 101-Part 1-What Is Hypothesis Testing, Its Type, and Its Process?
Author(s): Kumar kaushal Originally published on Towards AI. Definition of hypothesis testing, the process of doing hypothesis testing, its types, and applications Photo by Thomas T on Unsplash This is a part of a series of articles related to Statistics 101. In …
Understanding Type-I and Type-II Errors in Hypothesis Testing
Author(s): Deepak Chopra | Talking Data Science Originally published on Towards AI. An under-the-hood look into the concepts that underpin the all-important statistical hypothesis testing. This member-only story is on us. Upgrade to access all of Medium. (image by author) Knowingly or …
Ljung-Box or Durbin Watson — Which test is more powerful
Author(s): Tanveer Hurra Originally published on Towards AI. Statistics Source: Pixabay Durbin Watson is more powerful but there is a catch. Read on to know more. When it comes to statistical testing, one of the most important factors that we look for …
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