Techniques
 
 
 
Analytics
 
Path Analysis
Path Analysis
Path Analysis

What is Path Analysis?

Path analysis can be defined as a statistical technique which makes use of multiple regression to test causal relationships between variables. It is used not only to test causal relationships but also to ask questions about the...
 
Analytics
 
What is Logistic Regression
What is Logistic Regression
What is Logistic Regression

Logistic regression

Logistic regression is used when the measure on the predicted variable is dichotomous. Logistic regression is the more flexible technique because it makes no assumptions about the nature of the relationship between the independ...
 
Analytics
 
Time Series
Time Series
Time Series

Time Series Analysis:Classical Approach

A time series is a set of observed values, such as production or sales data, for a sequentially ordered series of time periods. A time series is portrayed graphically by a line graph, with the time periods represented on the ho...

 
Analytics
 
Principal Component
Principal Component
Principal Component

A Brief Encounter with Principal Components Analysis

Principal Components Analysis is a method that reduces data dimensionality by performing a covariance analysis between factors. As such, it is suitable for data sets in multiple dimensions. PCA is recommended as an exploratory ...
 
Analytics
 
How much is Fit Enough
How much is Fit Enough
How much is Fit Enough

Structural Equation Modelling: How much is fit enough?

There are some major indicators which determine the fitness of a SEM. Main indices are: goodness-of-fit index (GFI), adjusted goodness-of-fit index (AGFI), root mean squared residual (RMR) and root mean squared error of approxi...
 
Analytics
 

Structural Equation Modeling:What does it mean to be fit?

Technically speaking model fit determines the degree to which the sample variance covariance data fit the structural equation model. Model fit criteria commonly used are chi-square (x2), the goodness-of-fit index (GFI), the adj...

 
Analytics
 
SEM-TWO STEPS METHOD
SEM-TWO STEPS METHOD
SEM-TWO STEPS METHOD

Structural Equation Modeling:Two Steps Method

Structural equation modelling (SEM) is a collection of statistical procedures that examine the underlying relationships among observed variables. This approach derived from the work of psychometrician Karl Jöreskog and his asso...
 
Analytics
 
Neural Networks
Neural Networks
Neural Networks

Artificial Neural Network

An Artificial Neural Network (ANN) is an information processing system which works similar to the human brain. It uses the human brain’s pattern while solving problems through learning and then stores that knowledge through in...
 
Analytics
 

R-Beginner’s Quick Book Part-1

R-Language released under GNU General Public License can be used for all kinds of statistical analysis like Hypothesis testing, ANOVA,Linear regression, logistics regression, Bayesian analysis, Optimization, Machine learning: N...

 
Analytics
 
Indicators
Indicators
Indicators

Monte Carlo Simulation

Quantitative risk analysis plays an important part in the assessment of the risks and uncertainties surrounding a decision problem. Monte Carlo simulation is a very powerful and flexible way of performing such quantitative risk...