Dr. Liqun Wang

Professor

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Biography

Liqun Wang is a Professor in the Department of Statistics at the University of Manitoba. His research focuses on statistical inference, complex data models, identification estimation, and measurement error models. He has expertise in passage time, boundary crossing problems, diffusion processes, and Monte Carlo simulation methods. Wang is dedicated to advancing statistical methodologies and educating the next generation of statisticians. He is actively accepting graduate students and is committed to fostering an engaging environment for research and learning in the field of statistics.

Research Interests

Statistical Inference Complex Data Models Identification Estimation Measurement Error Models Passage Time Boundary Crossing Problems Diffusion Processes Monte Carlo Simulation Methods

Requirements for University of Manitoba

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:86
Prerequisites
Baccalaureate degree in nursing or equivalent Professional registration as RN or RPN Research Methods course (min grade C+) Introductory Statistics course (min grade C+)
Application Checklist
  • CV/Resume
  • Statement of Intent (500 words)
  • Two letters of recommendation
  • Transcripts
  • Proof of professional registration
  • Criminal Record Check
  • Child Abuse Registry Check
  • Adult Abuse Registry Check
Specialization Notes

Streams include Education, Administration, or Clinical.