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Lecture 1: Introduction to Multivariate Statistical Modeling-Part-I, by J Maiti

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Tutorial ANOVA (Contd.), by J Maiti

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Lecture 31 : Property of Marginals, Monopoly Market, Publisher V/S Author Problem, by Inder Kumar Rana

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Lecture 15 : Limit of a Function at a Point, by Inder Kumar Rana

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Lecture 29 : Absolute Maximum and Minimum, by Inder Kumar Rana

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Lecture 28 : Average and Marginal Product, Marginal of Revenue and Cost, Absolute Maximum and Minimum, by Inder Kumar Rana

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Lecture 8 : Relations and Functions, by Inder Kumar Rana

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Lecture 20 : Rate of Change, Differentiation, by Inder Kumar Rana

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Lecture 17 : Computing Limits, Continuous Functions, by Inder Kumar Rana

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Lecture 3 : Venn Diagrams, Operations on Sets, by Inder Kumar Rana

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Lecture 22 : Derivatives of some Functions, Marginal, Elasticity, by Inder Kumar Rana

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Lecture 23 : Elasticity, Increasing and Decreasing Functions, Optimization, Mean Value Theorem, by Inder Kumar Rana

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Lecture 41 : Some Examples, Constrained Maxima and Minima, by Inder Kumar Rana

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Lecture 16 : Limit of a Function at a Point, Left and Right Limits, by Inder Kumar Rana

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Lecture 11 : Linear Models, Elasticity, Linear Functions, Nonlinear Models, Quadratic Functions, by Inder Kumar Rana

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Lecture 21 : Rules of Differentiation, by Inder Kumar Rana

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Lecture 13 : Exponential Function, Exponential Models, Logarithmic Function, by Inder Kumar Rana

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Lecture 33 : Derivative Tests for Convexity, Concavity and Points of Inflection, Higher Order Derivative Conditions, by Inder Kumar Rana

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Lecture 4 : Operations on Sets, Cardinal Number, Real Numbers, by Inder Kumar Rana

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Lecture 2 : Concept of a Set, Ways of Representing Sets, by Inder Kumar Rana

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Lecture 6 : Sequences, Convergent Sequences, Bounded Sequences, by Inder Kumar Rana

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Lecture 27 : Successive Differentiation, Second Derivative Test, by Inder Kumar Rana

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Lecture 36 : Functions of Two Variables, Visualizing Graph, Level Curves, Contour Lines, by Inder Kumar Rana

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Lecture 34 : Convex and Concave Functions, Asymptotes, by Inder Kumar Rana

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Lecture 37 : Partial Derivatives and Application to Marginal Analysis, by Inder Kumar Rana

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Lecture 14 : Limit of a Function at a Point, Continuous Functions, by Inder Kumar Rana

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Lecture 32 : Convex and Concave Functions, by Inder Kumar Rana

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Lecture 10 : Function Formulas, Linear Models, by Inder Kumar Rana

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Lecture 24 : Mean Value Theorem, Marginal Analysis, Local Maxima and Minima, by Inder Kumar Rana

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Lecture 30 : Monopoly Market, Revenue and Elasticity, by Inder Kumar Rana

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