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Sample variance fitting

Sample variance fitting. Comparing data to a priori distributions. Comparing data to a priori distributions. Sample variance fitting. Example parameters. 1) Horizontal stretch x 1/2. 2) Vertical offset y 0. Sample variance fitting. Example parameters. 1) Horizontal stretch x 1/2.

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Sample variance fitting

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  1. Sample variance fitting

  2. Comparing data to a priori distributions

  3. Comparing data to a priori distributions

  4. Sample variance fitting Example parameters 1) Horizontal stretch x1/2 2) Vertical offset y0

  5. Sample variance fitting Example parameters 1) Horizontal stretch x1/2 2) Vertical offset y0 Adjust parameters to maximize “probability”, i.e. minimize

  6. Sample variance fitting Big dys c2big Example parameters 1) Horizontal stretch x1/2 2) Vertical offset y0 Big dys c2big Small dys c2small Adjust parameters to maximize “probability”, i.e. minimize Adjust parameters to maximize “probability”, i.e. minimize

  7. Sample variance fitting Adjust parameters to maximize “probability”, i.e. minimize

  8. Sample variance fitting IF the fitting curve can be adjusted to be “correct,” Adjust parameters to maximize “probability”, i.e. minimize

  9. Sample variance fitting Big dys c2big Measure individual samples to construct sample meansand standard errors at various x 3) Is ? ( ) Justify fitting function and parameters. Do normalized residuals look plausibly like random noise? Big dys c2big Small dys c2small 5) IF pass QC, report 1 0 -1

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