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Implementing Bootstrap Methods in R

Janani Ravi
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This course is no longer available. Find a similar course by searching these:
statistical inference non-parametric methods resampling bootstrap resampling r programming confidence intervals

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Develops advanced statistical techniques for population property estimation
Employs the highly robust and flexible Bootstrap method
Covers various Bootstrap variations for specific problem mitigation
Features a hands-on approach through R implementation
Prerequisites may slightly limit accessibility for beginners

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Time
2 hours
Via
Pluralsight
Instructor
Janani Ravi
This course belongs to a collection called Building Statistical and Mathematical Models with R. It's comprised of nine courses:
  1. Understanding Statistical Models and Mathematical Models
  2. Solving Problems with Numerical Methods
  3. Applying the Mathematical MASS Model with R
  4. Applying Differential Equations and Inverse Models with R
  5. Performing Dimension Analysis with R
  6. Applying Linear Algebra with R
  7. Building Statistical Summaries with R
  8. Implementing Bootstrap Methods in R (viewing)
  9. Implementing Monte Carlo Method in R
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Develops advanced statistical techniques for population property estimation
Employs the highly robust and flexible Bootstrap method
Covers various Bootstrap variations for specific problem mitigation
Features a hands-on approach through R implementation
Prerequisites may slightly limit accessibility for beginners
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