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
plusicon

Get access to all videos

Get 800+hrs of full syllabus lectures with subscription

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

More courses

new-thumbnail
ENROLL
HindiMathematical Sciences

Detail Course on Theory of Estimation for CSIR NET 2023

Ended on Dec 23, 2022 • 14 lessons

Gajendra Purohit

Unacademy is India’s largest online learning platform. Download our apps to start learning


Starting your preparation?

Call us and we will answer all your questions about learning on Unacademy

Call +91 8585858585
Company
About usShikshodayaCareersBlogsPrivacy PolicyTerms and Conditions
Products
Learner appLearner appEducator appEducator appParent appParent app

© 2024 Sorting Hat Technologies Pvt Ltd