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

In this course, Harsh Jaiswal will discuss Point estimation,Testing of Hypothesis and Confidence Interval and will also discuss basic to advance level Problems and this course would be helpful for aspirants preparing for IIT-JAM Exam. Learners at any stage of their preparation will be benefited from the course. The course will be covered in Hindi and the notes will be provided in English

Crash Course on Point Estimation and Testing of Hypothesis - IIT JAM

English

All questions

Normal Distribution - Part II

2022 PYQ Discussion

Normal Distribution - Part I

Practice Session on Point Estimation - Part VII

Multinomial Distribution as a Generalization of Binomial Distribution and its Properties

Joint and Marginal c.d.f.s of a Random Vector

Maths Stats

IIT-JAM 

Statistics

IIT-JAM

Joint Distributions

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

Joint Distributions

Crash Course on Sampling Distributions and Limit Theorems - IIT JAM

Harsh Jaiswal

Schedule

Nov

29

Normal Distribution - Part I

Nov

30

2022 PYQ Discussion

Nov

30

Normal Distribution - Part II

+ View all lessons

Crash Course on Multivariate Distributions & Standard Multivariate Distributions

Harsh Jaiswal

Schedule

Nov

23

Joint and Marginal c.d.f.s of a Random Vector

Dec

3

Multinomial Distribution as a Generalization of Binomial Distribution and its Properties

Crash Course on Point Estimation and Testing of Hypothesis - IIT JAM

Harsh Jaiswal

Schedule

Feb

1

Practice Session on Point Estimation - Part VII