UCONN

2019 Fall

STAT 5725: Linear Statistical Models

Course information:
  • Lectures blackboard
  • Text Book:        A First Course in Linear Model Theory, by N. Ravishanker and D. K. Dey
  • Schedule:         Tuesday & Thursday 9:30 a.m. to 10:45 a.m.
  • Classroom:       MCHU 305
  • Office Hours:   Tuesday & Thursday: 11:00 a.m. to 12:00 p.m.
  • TA:
  • Prerequisites:
    • STAT 5685 or STAT 3445.
    • A good grasp of linear algebra, vector space and matrix theory.

2019 Spring

  • STAT 5685: Mathematical Statistics II
  • STAT 5675: Bayesian Data Analysis

2018 

  • STAT 5725: Linear Statistical Models
  • STAT 6694: Linear Models II
  • STAT 5685: Mathematical Statistics II

2017

  •  BIST/STAT 5725: Linear Models I

2016

  • BIST/STAT 5725: Linear Models I
  • STAT 6494: Current Trends in Bayesian Methodology with Applications;
  • STAT 6694: Seminar in Multivariate Statistics: Linear Model II

2015

  • BIST/STAT 5725: Linear Models I
  • BIST/STAT 5685: Mathematical Statistics II
  • STAT 6694: Seminar in Multivariate Statistics: Linear Model II

2014

  • BIST/STAT 5725: Linear Models I
  • STAT 3445 Introduction to Mathematical Statistics
  • STAT 6694: Seminar in Multivariate Statistics: Linear Model II

2013

  • BIST/STAT 5725: Linear Models I
  • STAT 6694: Seminar in Multivariate Statistics: Linear Model II

2012

  • BIST/STAT 5725: Linear Models I

Duke

Instructor

2011 Summer

  • STA 101: Data Analysis and Statistical Inference

Teaching Assistant

2011

  • STA 102: Introduction to Biostatistics

2009

  • STA 213: Introduction to Statistical Methods

 2008

  • STA 104: Probability