Posts Tagged ‘data’
Analytics
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
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
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
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
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...
Analytics
DATA MINING:The Concept
Data mining can be viewed as a result of the natural evolution of information technology. The database system industry has witnessed an evolutionary path in the development of the following functionalities:data collection and d...
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