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Someone might like to expand on my treatment, e.g., to derive the connection between alpha, beta, and the thresholds.-- Adoniscik ( talk) 19:31, 10 January 2008 (UTC) reply

I believe the example leaves off (theta0-theta1)/(theta0*theta1) in the final step. 216.164.50.165 ( talk) 03:45, 18 November 2009 (UTC) reply

The theory section has these inequalities:

• ${\displaystyle a<S_{i}<b}$: continue monitoring (critical inequality)
• ${\displaystyle S_{i}\geq b}$: Accept ${\displaystyle H_{1}}$
• ${\displaystyle S_{i}\leq a}$: Accept ${\displaystyle H_{0}}$

Would it be more correct to say

• ${\displaystyle S_{i}\geq b}$: Reject ${\displaystyle H_{0}}$
• ${\displaystyle S_{i}\leq a}$: Accept ${\displaystyle H_{0}}$

or even

• ${\displaystyle S_{i}\geq b}$: Reject ${\displaystyle H_{0}}$
• ${\displaystyle S_{i}\leq a}$: Fail to reject ${\displaystyle H_{0}}$

The latter would be more in keeping with Hypothesis_testing. — Preceding unsigned comment added by Rajah9 ( talk • contribs) 19:45, 3 January 2011 (UTC) reply

Rajah9 ( talk) 14:39, 4 January 2011 (UTC) reply

The use of a and b is contrary to the sense in which Wald uses A and B. Since Wald's paper is authoritative and clear, I see no good reason to deviate from Wald's notation, especially not in a way that might lead to confusion.

In addition, the explanation of the approximation symbols in defining the values of a and b is incorrect or, at least, not the correct explanation. The main reason for the approximation is that these values only approximately guarantee errors of type I and II will occur with probabilities α and β (they only guarantee that at least one will be correct).

Is this MaxSPRT algorithm important enough to be included here, or is it just the authors of a paper trying to boost their citations?