In the fifth post in this series we discussed the issues of the use of data mining and machine learning techniques. Today, I will present other commandments related to being prepared to compromise when implementing solutions based on the theory of statistics and being mindful in the interpretation of statistical significance
Tag: statistic analytics
10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 6
10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 4
In the third post of the 10 Commandments of Applied Econometrics series we discussed the issue of data exploration. Today, I will present the next commandments: keep the solutions simple and use model validation. Keep the models sensibly simple Striking the right balance between simplicity and sophistication: the models created should be neither
10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 3
In the second post of the 10 Commandments of Applied Econometrics series we discussed the issue of embedding statistical tools in the context of business problems. Today, I will present another commandment related to exploration and inspecting the data.