Predictive Modeling and Analysis
by Predictive modeling is a statistical technique using machine learning and data mining to predict and forecast likely future outcomes with the aid of historical and …
Tag: Statistical Analysis
MS103 Quantitative Techniques
Unit 1 Descriptive Statistics {Book} Measures of Central Tendency VIEW Concept of Dispersion, Measures: Absolute and Relative measures VIEW VIEW VIEW VIEW Skewness Meaning and …
Introduction, Advantages of Linear Programming
The technique of linear programming was formulated by a Russian mathematician L.V. Kantorovich. But the present version of simplex method was developed by Geoge B. …
Standard error of estimate
The Standard Error of Estimate is the measure of variation of an observation made around the computed regression line. Simply, it is used to check the accuracy …
Formulation of Linear Programming
MAXIMIZATION CASE Let’s understand the maximization case with the help of a problem. Suppose a firm produces two products A and B. For producing the …
Linear Programming Problem
The Linear Programming problem is formulated to determine the optimum solution by selecting the best alternative from the set of feasible alternatives available to the …
Pitfalls and Limitations Associated With Regression and Correlation Analysis
Pitfalls and Limitations Associated With Regression and Correlation Analysis
Ordinary Least Square Method of Regression
Ordinary Least Square Method of Regression
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