syllabus-subject-icon

Descriptive Statistics

Chapters

Introduction Meaning and Scope

Random Variables

Mathematical Expectation

Discrete Distributions

Continuous Distributions

Curve Fitting

Correlation and Regression

Sampling and Large Sample Tests

Chi-Square Distribution

Theory of Estimation

Statistical Inference-II

Markov Chains

Joint & Conditional Distributions

Elements of Bayesian Inference

Special Univariate Distributions

Probability

Maximum Likelihood Estimation

Inference - Parameter Estimation

Courses
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1
Introduction Meaning and Scope
2
Random Variables
Practice
3
Mathematical Expectation
Practice
4
Discrete Distributions
Practice
5
Continuous Distributions
6
Curve Fitting
7
Correlation and Regression
8
Sampling and Large Sample Tests
Practice
9
Chi-Square Distribution
10
Theory of Estimation
Practice
11
Statistical Inference-II
Practice
12
Markov Chains
13
Joint & Conditional Distributions
14
Elements of Bayesian Inference
15
Special Univariate Distributions
16
Probability
17
Maximum Likelihood Estimation
18
Inference - Parameter Estimation