Supporting Analytics with Statistics - Introduction

Meltdata Used Various kinds of Statistical Techniques for analysis of data.

The Most Important of these  are techniques are :
Factor Analysis
Cluster Analysis
Linear and Multiple Regression
Logistic Regression
Multiple Logistic Regression
Logit , Probit
CHAID
CART
Conjoint
Canonical Correlation
Bayesian Modelling
Survial Analysis
Cox Regression

Tests
T test (Paired and Independent/Dependent Samples)
Z test
Kruskal Wallis
Mann Whitney U Test
ANOVA
MANOVA

Commonly Used Forecasting Techniques
Weighted Average
Moving Average
Regressive Techniques
Trend and Ratio Methods
Advacnced Techniques like Fourier and Wavelet Techniques

We will explain the Application of these techniques in the subsequent blogs.

For more techniques visit:

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