Approach 1: Estimators

• Take data and compute back
• Compare data scatter to measurement scatter
• Fourier transform of values, find maximum power
• Measurement errors? – Monte Carlo simulations
• Missing data?
• Significance of peak?
• Need to characterise estimators:
• Variance – is a property of the estimator
• Type 1 error – false positive
• Type 2 error – false negative