by | Unit 1 Regression {Book} | |
| Regression Introduction, Linear and Non-Linear Regression | VIEW |
| Correlation Vs. Regression | VIEW |
| Lines of Regression | VIEW |
| Derivation of Line of Regression of Y on X, Line of Regression of X on Y | VIEW |
| Using Regression Lines for Prediction | VIEW |
| Unit 2 Index Numbers: {Book} | |
| Index Numbers: Introduction, Uses, Types | VIEW |
| Problems in the Construction of Index Numbers | VIEW |
| Methods of Constructing Index Numbers | VIEW |
| Simple Index Number | VIEW |
| Weighted Index Number (Laspeyre, Paasche, Marshall Edgeworth) | VIEW |
| Tests of Consistency of Index Number: | |
| Unit Test, Time Reversal Test, Factor Reversal Test, Circular Test | VIEW |
| Base Shifting, Splicing and Deflating of Index Numbers | VIEW |
| Unit 3 Time Series {Book} | |
| Time Series: Introduction | VIEW |
| Components of Time Series | VIEW |
| Methods: Semi Average Method | VIEW |
| Moving Average Method | VIEW |
| Least Square Method | VIEW |
| Deseasonalization of Data | VIEW |
| Uses and Limitations of Time Series | VIEW |
| Unit 4 Probability {Book} | |
| Probability: Meaning, Experiment | VIEW |
| Event: Mutually Exclusive Events, Collectively Exhaustive Events, Independent Events, Simple and Compound Events | VIEW |
| Basics of Set Theory | VIEW |
| Permutation, Combination | VIEW |
| Approaches to Probability: Subjective, Axiomatic | VIEW |
| Classical, Empirical Probability | VIEW |
| Theorems of Probability: Addition, Multiplication, | VIEW |
| Bayes Theorem | VIEW |
| Unit 5 Theoretical Distributions {Book} | |
| Binomial Distribution: Importance Conditions, Constants, Fitting of Binomial Distribution | VIEW |
| Poisson Distribution: Importance Conditions Constants, Fitting of Poisson Distribution | VIEW |
| Normal Distribution: Importance, Central Limit Theorem, Characteristics Fitting a Normal Distribution | VIEW |
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