TNPSC AD Industries and Commerce
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UNIT VII Differential Equations and Operations Research
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Linear ODE With Constant Coefficients Complementary Function
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Linear ODE with Constant coefficients - Finding Particular Integral Type I and II
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Linear ODE with Constant Coefficients Finding Particular Integral Type III and IV
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Liner Higher Order ODE with Variable Coefficients Introduction Class
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Method of Variation of Parameters, Linearly Dependent and Linearly Independent
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Wronskian Properties and Problems with Solutions
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Second Order ODE with Ordinary and Singular Points
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Indicial Equations and Introduction of Bessels Equations
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Bessels Equations of first and second kind
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Bessels Functions Recurrence Formula and Problems
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Generating Functions and Orthogonality of Bessel Functions
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Legendre Differential Equations First and Second Kind
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Generating Functions and Orthogonality of Bessel Functions
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Lagrange Method for solving first order PDE Class I
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Lagrange Method for solving first order PDE Class II
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Solving Lagrange Equation and Standard types
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Standard Types f(z,p,q) =0, f(x,p) = f(y,q), Clairaut's Equations & Charpits Methods
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Characteristic Curves & General Higher Oder Homogeneous Liner PDE with Constant Coefficients
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General Higher Order Linear Homogeneous PDE Particular Integral
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Operations Research Class 1 Video
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Operations Research Class 2 Video
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Operations Research Class 3 Video
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Operations Research Class 4 Video
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Operations Research Class 5 Video
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Operations Research Class 6 Video
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Operations Research Class 7 Video
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Operations Research Class 8 Video
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Operations Research Class 9 Video
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Operations Research Class 10 Video
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Operations Research Class 11
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Operations Research Class 12
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UNIT III Sampling Theory, Design of Experiments and Index numbers and Time series
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Introduction and Construction of Index Numbers
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Simple and weighted indexnumbers
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Wholesale Price Index Numbers
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Time series and Components of time series
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Cyclic Variations and Trend
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Method of Least squares
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Measurement of Seasonal Variations
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Ratio to Moving Average Method and Method of Cyclic Variations
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Introduction and Construction of Index Numbers
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UNIT VII Design of Experiment Class 1 Video
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UNIT VII Design of Experiment Class 2 Video
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UNIT VII Design of Experiment Class 3 Video
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UNIT VI SRS , Stratified random sampling Question Paper Discussion
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AD UNIT 7 Latin Square Design 1
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AD UNIT 7 Latin Square Design 2
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UNIT 7 RBD CLASS 3
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AD UNIT 6 CLASS 1
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AD UNIT 6 CLASS 2
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AD UNIT 6 CLASS 3 - Stratified Random Sampling
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AD UNIT 6 CLASS 4
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AD UNIT 6 CLASS 5
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AD UNIT 6 CLASS 6
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Systematic sampling 1
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Systematic sampling 2
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Systematic sampling 3
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Systematic sampling 4
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UNIT VI -Cluster sampling Class
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UNIT VI - Regression Estimation under Double Sampling Class
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UNIT VI - Ratio Estimation under Double Sampling Class
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UNIT VI Ratio Estimation Class I
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UNIT VI Linear Regression Estimation
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UNIT VI Ratio estimation Class II
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UNIT VI Ratio estimation Class III
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UNIT VI AD Sampling Theory CSO Class Video
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Unit II Estimation Theory, Testing of Hypothesis and Non-Parametric Tests
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Estimation Theory - Point Estimation and Characteristics of Good Estimator
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Neyman Fisher Factorization theorem & Cramer–Rao inequality
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Cramer Rao Theorem and MLE
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Neyman Factorization Theorem & Sufficient Statistics Problems
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MLE's and Sufficient Statistics Probels
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MLE's and Sufficient Statistics Probels
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Method of Minimum Chi-square, Standard Error and Poiint, Interval Estimation Problems
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Method of Minimum Chi-square, Standard Error and Poiint, Interval Estimation Problems
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Method of Moments Estimation
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Test procedures for large and small samples, Chi Square Distribution
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Chi Square Distribution - Theory of Attributes
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Student t Distribution
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F Distribution
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Concept Type I and Type II Errors, UMP Neyman person Lemma and Problems for Type I & II Errors
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Non Parametric Test - Sign Test and One Sample Run Test
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Rank Sum Test - Mann Whitney test and Kruskal Wallis Test
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Unit I Probability, Random Variables and Distribution Theory
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Probability Theory Introduction Class
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Probability Problems & Solutions
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Probability - Addition Theorem
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Total Probability and Bayes Theorem
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Random Variables Introduction and CDF - Discrete Random Variables
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Continuous Random Varaibles, Mean and Variance
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Bivariate random Variables, Marginal and conditional distributions
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Mathematical Expectation and Conditional Expectation
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Conditional probability Problems
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Convergence in Probability & Weak and Strong laws of large numbers
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MGF, Cumulant Generating Functions and Characteristic Function
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Characteristic Functions Properties and Problems
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Lindberg-Levy and Lyapunov’s Theorem
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Binomial Distribution
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Poisson and Hypergeometric Distribution
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Uniform and Normal Distribution
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Gamma and Exponential Distributions
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Beta distribution of first and second kind
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Unit VI Complex Analysis and Functional Analysis
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Functional Analysis Class 1
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Functional Analysis Class 2
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Orthogonal and Orthonormal Problems with Solutions
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Functional Analysis Class 4
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Basic Concepts of a Complex Number
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Functions of a Complex Variable
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Differentiability of a Complex Function & CR Equations
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Analytic Functions & Harmonic Functions
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Construction of Analytic Functions & Harmonic conjugate Functions
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Laurents Series Expansion & Zeros of Analytic Function
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Removable, Pole & Essential Singularity
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Unit V: Algebra and Real Analysis
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TN SET ALGEBRA CLASS 1
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TN SET ALGEBRA CLASS 2
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TN SET ALGEBRA CLASS 3
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TN SET ALGEBRA CLASS 4
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TN SET ALGEBRA CLASS 5
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TN SET ALGEBRA CLASS 6
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ALGEBRA SYLOWS THEOREM Class 7
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TN SET ALGEBRA CLASS 8
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TN SET PYQP ALGEBRA CLASS 9
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ALGEBRA RING CLASS 1
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ALGEBRA RING CLASS 2
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ALGEBRA RING CLASS 3
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TN SET AND PG TRB ALGEBRA RING CLASS 4New
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TN SET AND PG TRB ALGEBRA RING CLASS 5New
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TN SET AND PG TRB ALGEBRA RING CLASS 6New
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TN SET AND PG TRB ALGEBRA RING CLASS 7New
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TN SET AND PG TRB ALGEBRA RING CLASS 8New
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TNSET & PG FIELD THEORY CLASS 2New
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TNSET & PG FIELD THEORY CLASS 3New
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TNSET & PG FIELD THEORY CLASS 4New
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