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Statistical Application

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Course type: Online Instructor led Course

Platform: skype

Course ID: 9642

Course type: Online Instructor led Course

Platform: skype

Students Interested 0 (Seats Left 0)

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About the Course

This course offers a broad treatment of statistics, concentrating on specific statistical techniques used in science and industry. This course focuses on the practical understanding of statistical application.

Topics Covered

Maximum Likelihood Estimators
Properties
Fisher Information
Asymptotic Variance of MLE

Parameters of Normal Distribution
Chi-squared and t-Distribution
Distribution of the Estimates of Parameters of Normal Distribution Confidence Intervals

Testing Hypotheses
t-Tests and F-Tests
Bayes Tests
Most Powerful Tests (Including Randomized)

Goodness-of-fit Tests
Simple Discrete
Continuous
Composite Goodness-of-fit Tests
Independence and Homogeneity Tests
Kolmogorov-Smirnov Test

Linear Regression
Estimating Parameters
Joint Distribution of Estimates
Testing Hypotheses about Parameters
Confidence and Prediction Intervals
Joint Confidence Sets

Multiple Regression, Analyses of Variance and Covariance
Distribution of Estimates
Testing General Linear Hypotheses

Who should attend

Undergraduates in statistics, Researchers - data analysis, market research personal, interested persons

Pre-requisites

Probability and Random variables

What you need to bring

Computer and Internet connection

Key Takeaways

Confident in understanding statistical problems with practical approach, Assignments based on the topics covered . Broad understanding of data analysis and interpretation.

Date and Time

Not decided yet.

About the Trainer

Kushal Chatterjee picture

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Kushal Chatterjee

Senior Research fellow at IIT Bombay, Junior Research Fellow at IIT kanpur (2008) dept of mathematics and statistics, Research Assistant at IIT kanpur dept of aerospace 2008,Btech in electronics and communication engg, Anna University, Chennai

1) 5+ years of teaching experience to IIT/JEE aspirants and GATE aspirants.

2) Published 3 papers in IEEE journal

3) Member of the IEEE review committee china in 2011

4) Current research topics- Neural Networks, System Identification applications

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