Statistics · Maths EE idea · Solid

Estimating the largest serial number

A research question to start from

What is the best way to estimate the total number N from a sample of serial numbers, and how do the estimators compare?

A starting point, not your question: change the case, the comparison or the limit until it is yours. The research-question builder helps you check it.

Why it works as a maths EE

Competing estimators with exact properties you can derive and compare.

Mathematics you would need

  • Discrete uniform distribution
  • Order statistics
  • Unbiased estimators
  • Variance comparison

Much of this goes beyond the DP course. That is expected in a maths EE, but you must understand and explain everything you use.

One possible line of attack

  1. Propose several estimators (maximum, mean-based, gap-corrected).
  2. Derive their bias and variance.
  3. Compare by simulation and explain the winner.

Scope and difficulty

Solid. Solid.

Pitfalls

  • History taking over.
  • Comparing without a criterion.

Where to start reading

Search a library catalogue or a university's open lecture notes for: German tank problem minimum variance unbiased estimator; order statistics uniform. Prefer textbooks, lecture notes and journal articles to a single website, and cite everything you use (how to reference a maths EE).

Make it your EE

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