In this course, Harsh Jaiswal will cover Univariate and Standard Univariate Distribution from Unit 1 to Unit 20. Topics including Cumulative Distribution Function, Coefficient of Variation, and Poisson will be discussed in detail. This course will be helpful for the aspirants preparing for the IIT JAM Exams. The course will be completed in 1 month, comprising 20 sessions with a duration of 120 minutes each. The course will be covered in Hinglish and notes will be provided in English.

Crash Course on Univariate and Standard Univariate Distribution - IIT JAM

In this course, Harsh Jaiswal will cover Sampling Distributions and Limit Theorems from Unit 1 to Unit 20. Topics including Chi-Square, T, and F Distribution will be discussed in detail. This course will be helpful for the aspirants preparing for the IIT JAM Exams. The course will be completed in 2 weeks, comprising 12 sessions with a duration of 60 minutes each. The course will be covered in Hindi and the written content will be in English.

Crash Course on Sampling Distributions and Limit Theorems - IIT JAM

In this course, Harsh Jaiswal will cover Multivariate Distributions from Unit 1 to Unit 20. Topics including Joint and marginal p.m.f, joint and marginal p.d.f Conditional c.d.f, and conditional p.m.f will be discussed in detail. This course will be helpful for the aspirants preparing for the IIT-JAM Exams. The course will be completed in 3 weeks, comprising 20 sessions with a duration of 120 minutes each. The course will be covered in Hindi and the written content will be in English.

Crash Course on Multivariate Distributions & Standard Multivariate Distributions

English

All questions

Probability Density Function (PDF) of a Random Variable

Distribution of Functions of Random Vectors Using Transformation of Variables and Jacobian Method

Doubt Clearing Session

Central Chi-Square Distribution - Part III

Definition of Random Variables: Cumulative Distribution Function (CDF) of a Random Variable

Mathematical Expectation of Functions of Random Vectors, Joint Moments, Covariance, and Correlation

Discrete and Continuous Random Variables: Probability Mass Function (PMF)

Maths Stats

IIT-JAM 

Statistics

IIT-JAM

Random Variables

GATE, ESE and IIT-JAM

3 years of teaching experience
M.Sc. Applied Statistics and Informatics from IIT BOMBAY 
Results -  150 + selections to IIT’s, NIT’s in JAM 

Harsh Jaiswal

Random Variables

Crash Course on Univariate and Standard Univariate Distribution - IIT JAM

Harsh Jaiswal

Schedule

Oct

13

Definition of Random Variables: Cumulative Distribution Function (CDF) of a Random Variable

Oct

15

Discrete and Continuous Random Variables: Probability Mass Function (PMF)

Oct

17

Probability Density Function (PDF) of a Random Variable

+ View all lessons

Crash Course on Sampling Distributions and Limit Theorems - IIT JAM

Harsh Jaiswal

Schedule

Nov

25

Central Chi-Square Distribution - Part III

Nov

26

Doubt Clearing Session

Crash Course on Multivariate Distributions & Standard Multivariate Distributions

Harsh Jaiswal

Schedule

Nov

27

Distribution of Functions of Random Vectors Using Transformation of Variables and Jacobian Method

Nov

28

Mathematical Expectation of Functions of Random Vectors, Joint Moments, Covariance, and Correlation