# Author: admin

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Posted at 07:44h
in

R language
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When there is high multicollinearity confirmed between the independent variables and you are forced to include all of them in the model, it will lead to over estimated regression coefficients. Since they are changed, now...

Posted at 11:00h
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Matlab
MATLAB is a popular data science platform. This tutorial guides you to generate univariate and multivariate goods.
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Posted at 05:47h
in

R language
GGPLOT can be used to draw GIS maps in R and fill uni-variate colors to show spatial differences across countries.
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Posted at 05:45h
in

R language
Quantile regression is used when the variables are not normal and there appropriate transformations are not feasible. Consider a case of a variable which can have negative values and zeros so taking a log will not help in making data normal. Following tutorial will guide...

Posted at 05:42h
in

R language
The asymmetric effects ARDL or non linear ARDL is used when it is sure that the effect of increasing independent variable is not equal and opposite to effect of decreasing independent variable and the variables are in mixed order of integration.
Nonlinear ARDL and Assymetric...

Posted at 04:51h
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Stata
Panel data is used when the data is varying across time and cross section, within which when your panel data has years per cross section more than 20. Then the data becomes long panel data thus simple OLS (FE / RE ) may not work....

Posted at 04:51h
in

Stata
Panel Non Linear Autoregressive Distributed Lagged Model is used for the case of Panel data where number of years per cross section are more than 20 and the variables are non stationary and there is asymmetric effects in at least one of the independent variable....

Posted at 04:41h
in

Stata
When the independent variables are collinear with each other, and there is no option to reduce them using step wise regression or factor analysis as all of them are important. Then in this case ridge regression can be used to estimate the model by force...

Posted at 15:56h
in

Python,

Uncategorized
Python Jupyter Notebook platform can be used to estimate simple regression on a data set. Python is one of the leading programming language with its application is data science.
import pandas as pdimport seaborn as snsfrom statsmodels.graphics.gofplots import qqplotimport matplotlib.pyplot as pltfrom scipy.stats import shapirofrom...

This tutorial will guide you to importing your data in SPSS Software for your data analysis purposes. This video specifically talks about importing the secondary data from excel.
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