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Platinum Course

Learn from the Masters. Ace the Examination.
52 weeks, 156+ classes, 239+ hours
3 classes per week
Theory + Problem Driven Classes
Selected Assignment Problems 
Monthly Graded Tests
Doubt Clearing from Masters
Recording of Classes 
Mock Test
Meet the MastersFree Diagnostic Test

Pricing

 8937   6694+ 18% GST
(3 months, 55+ hours)
Renew every 3 months

Join the Course

Platinum Course Weekly Schedule

Week 1 - 10 

Topics (40+ Hours) 

  • Real Analysis
  • Linear Algebra
  • High School Mathematics
  • Combinatorics

Week (11 - 20)

Topics (40+ hours)

  • Classical Probability
  • Probability Space and Axioms
  • Conditional Probability
  • Bayes Theorem
  • Random Variables
  • Moments and MGF
  • Discrete Random Variables
  • Relationship between Known Discrete Random Variables
  • Continuous Random Variables
  • Relationship between Known Continuous Random Variables

Week 21-30

Topics (40+ hours)

  • Joint Random Variables
  • Marginal Distributions
  • Conditional Distributions
  • Bivariate Distributions
  • Covariance and Correlation
  • Basic Estimation Theory
  • Simple Linear Regression

Week 31 - 40

Topics (40+ hours)

  • Multivariate Normal Distribution
  • Multinomial Normal Distribution
  • Conditional Expectation
  • Basic Estimation Theory
  • Revision of Linear Algebra
  • Multiple Linear Regression

Week 41 - 52

Theory (50+ hours)

  • Method of Moments
  • Maximum Likelihood Estimator
  • Unbiasedness, Minimum Variance, MSE
  • Sufficiency
  • Completeness
  • Ancilliary
  • Consistency
  • CRLB
  • UMVUE
  • Exponential Family 
  •  Basics of Testing of Hypothesis
  • Normal Parameter Tests
  • Neyman Pearson Lemma
  • MP, UMP Test
  • Confidence Interval 
  • Likelihood Ratio Test
  • Karlin Rubin Test
  • Examples 
  • Past Year Problem Solving

IIT JAM MS Examination ends

Preparation of ISI MStat Examination starts

Week 53 - ISI MStat Exam 

Topics (70+  hours)

  • Revision of Linear Algebra (Merged with Junior Batch / Crash Course)
  • Revision of Real Analysis (Merged with Junior Batch / Crash Course)
  • Revision of Probability (Crash Course)
  • Revision of Statistics (Crash Course)
  • Regression and Inference
  • Sample Survey and Inference

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