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Bivariate Statistics: Bootstrapping and Jackknifing Resampling Techniques in MATLAB

This lecture focuses on advanced bivariate statistics, specifically utilizing bootstrapping and jackknifing as resampling schemes. Participants will learn practical applications through MATLAB examples, including "Ex_BootStrapping.m" and "Ex_JackKnifing.m" by Trauth. These robust statistical techniques are essential for estimating the sampling distribution of a statistic, providing insights into data variability and reliability. The session emphasizes hands-on practice, allowing students to apply these methods to real datasets using MATLAB, thus enhancing their statistical analysis skills.

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Bivariate Statistics: Bootstrapping and Jackknifing Resampling Techniques in MATLAB

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Presentation Transcript

  1. Lec. 33 – Bivariate Statistics: Practice, including bootstrapping and jackknifing

  2. Resampling Schemes

  3. Bootstrapping in MATLAB

  4. Ex_BootStrapping.m Trauth Example

  5. Jackknifing

  6. Ex_JackKnifing.m Trauth Example

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