13 Jun The Four States of Disruption
It is possible for business executives to assess how susceptible their industry is to disruption and why, and to do the same at a more granular level for their company. ...
Cross-Sectional
21 Feb Pearson and Spearman Correlations
In this post we will learn about some important correlation coefficients, essential for exploratory data analysis and model building....
15 Jan Assumptions of Linear Regression
Linear regression is one of the most popuar econometrics models. In this post you will learn that in order to define correctly a linear regression model, certain assumptions must be true....
14 Jan A Brief Introduction to Linear Regression
Linear regression is one of the most popuar econometrics models. In this post we will make a gentle introduction to some mathematical formulas describing the linear regression process....
02 Jan Basic Concepts in Time Series Analysis (Part-5)
In this fifth post of the series, we will present briefly the necessary steps in order to produce time series forecasts....
20 Dec Checking for Stationarity in Time Series
In this post you will learn the steps to take in order to decide whether a time series is stationary or not by inspecting graphically and statistically the time series....
18 Dec Basic Concepts in Time Series Analysis (Part-4)
In this post, the fourth of the sereis regarding time series analysis, we will discuss about stationarity, an important concept in time series analysis....
13 Dec How to Install Packages in R
R is one of the most powerful and versatile statistical languages. The vast selection of packages can make R even more flexible and powerful....
10 Dec Basic Concepts in Time Series Analysis (Part-3)
In this third post about time series analysis, you will learn about the two main categories in forecasting modeling of time series....
05 Dec Basic Concepts in Time Series Analysis (Part-2)
In this post we will discuss about time series components such as: seasonality, trend, cyclicality and irregularity....
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