Author Archive
Analytics
Financial analytics: Do we need it Really?
Financial analytics is a process by which the various internal and external business finance information is leveraged to create intelligent reports. Financial analytics is increasingly finding popularity among companies that ar...
Analytics
Understanding Market Share & Sizing
Market sizing is done to quantify and validate the business opportunity in order to paint a compelling and defensible picture of that opportunity for stakeholders,Investors,Management,Partners,Customers & Market Analysts / Pres...
Analytics
Data Processing in SAS:How & Why
For Data Analysis in SAS,first of all we should know how a SAS Program relates to data which is very much like a Surgeon (You!) getting ready with his surgery-kit (your SAS Program) and the so-called Patient is our Data.So we n...
Analytics
R Beginner’s Quick Book Part-2
Continuation to the Part-1 of R's Quick Book,covering Regression,ANOVA,Logistic Regression,Classification Trees & Cluster Analysis. Also provides Code Snippets which can be directly used in R tool for running mentioned techniques.
Analytics
Multidimensional Scaling (MDS)
Multidimensional scaling (MDS) provides the researcher with a spatial representation of data that can facilitate interpretation and reveal relationships.Multidimensional scaling (MDS) provides the researcher with a spatial repr...
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
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
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
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...
