BIOST 2096 - NUMERICAL METHODS BIOSTATISTICS

Minimum Credits: 3
Maximum Credits: 3
The purpose is to familiarize students with a broader range of numerical methods which are useful in bio statistical research. Selected computational techniques used in statistical research will be covered. Background will be provided to facilitate understanding of a few numerical algorithms widely used in statistics. The following are covered: recurrence relations, power series and asymptotic expansions, generating pseudo-random deviates, basic simultaneously methodology, solutions of nonlinear equations, newton's method, vector and matrix norms, linear regression and matrix inversion.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: BIOST 2044 and 2049

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