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Topic:
Computing tables for use with Peirce's Criterion  in 1855 and 2008
Replies:
3
Last Post:
Nov 21, 2012 9:28 AM




Re: Computing tables for use with Peirce's Criterion  in 1855 and 2008
Posted:
Nov 21, 2012 9:28 AM


Op zondag 5 oktober 2008 15:41:37 UTC+2 schreef Knud Thomsen het volgende: > In 1852 Peirce described his criterion for identifying outliers in a > sample from an otherwise normal distribution (1). > In 1855 Gould, having being applying the criterion professionally, > published a set of tables of critical deviations together with a > description of the algorithm he had used to calculate them (2). The > calculations were done manually, aided only by logtables and some > special function tables he managed to get his hands on! > > Gould's first two tables list the (squares of the) critical deviation > x as a function of N, the number of values in the sample, and k, the > number of outliers being tested for. These tables differ with respect > the value for m, the 'number of unknown quantities', set to 1 and 2, > respectively. > > Below I have tried to be consistent with Gould's notation. > Here are the exceptions: > > Gould Here >  > Lower case n k > psi x erfc(x/sqrt(2)) >  > > Next, two equations are formulated from which the critical deviation > can be found (x>0). > > Gould's equation D can be stated: > > R = R1(x) = exp((x^21)/2) erfc(x/sqrt(2)) > > Defining (Gould's equation B): > > Q^N = k^k (Nk)^(Nk) / N^N > > Gould's equation A' can be combined with the unlabeled one just above > equation C into: > > R = R2(x) = Q^(N/k) [(Nmk x^2)/(Nmk)]^((Nk)/(2k)) > > Now a numerical solution for x can be found after equating R1 and R2. > > Gould's algorithm was based on the following pseudoconstant strategy > (3), the initial value for R being my own suggestion: > > R = 0.25 > <Find x from: R2(x)=R> > repeat > R = R1(x) > oldx = x > <Find x from: R2(x)=R> > until abs(xoldx)<Eps > > Although this works quite well on a computer (with some extra > termination logistics), much faster convergence can be achieved > through rootfinding by Newton's Method. > I currently use the algorithm below (suitable for double precision > floating point). Some loopinvariant code have been kept explicit for > the sake of readability. > >  > function PeirceDeviation(N,k,m) > // Peirce's critical deviation for N samples, k potential outliers and > m > // 'unknown quantities' (usually 1). > > if Nmk<=0 then return(0) // result undefined > > LnQN = k*Ln(k) + (Nk)*Ln(Nk)  N*Ln(N) > > x = 1 > > repeat > x = min(x, sqrt((Nm)/k)  1e10) > > // R1(x) and R2(x) > R1 = exp((x*x1)/2)*erfc(x/sqrt(2)) > R2 = exp( (LnQN  0.5*(Nk)*ln((Nmk*x*x)/(Nmk)))/k ) > > // R1'(x) and R2'(x) > R1d = x*R1  sqrt(2/pi/exp(1)) > R2d = x*(Nk)/(Nmk*x*x)*R2 > > // Newton > oldx = x > x = oldx  (R1R2)/(R1dR2d) > until abs(xoldx) < N * 2E16 > > return(x) >  > > Gould did not list xvalues below 1, and when glancing down the tables > along the edge of the filledin cells, one is tempted to ask if > something mathematically interesting can be said about the special > case x=1. > For that purpose we shall accept noninteger values for N and/or k. > > Setting R1(1)=R2(1) we get: > > erfc(1/sqrt(2)) = Q^(N/k) = k [(Nk)^(Nk) / N^N]^(1/k) > > or, defining the ratio C = k/N: > > erfc(1/sqrt(2)) = C (1C)^(1/C1) > > So, x=1 implies a fixed k/N ratio, which does not depend on m. > C must be estimated numerically; here it is to 30 decimal places: > > C = 0.58974 36745 10713 07248 06181 37574 ... > > which just happens to be rather close to the simple fraction: > > 23/39 = 0.58974 35897 43589 ... > > > 1. Peirce, B.: Criterion for the rejection of doubtful observations. > Astronomical Journal, vol. 2, iss. 45, p. 161163 (1852). > http://adsabs.harvard.edu/abs/1852AJ......2..161P > http://adsabs.harvard.edu/abs/1852AJ......2..176P (erratum) > > 2. Gould, B.A.: On Peirce's Criterion for the Rejection of Doubtful > Observations, > with tables for facilitating its application. > Astronomical Journal, vol. 4, iss. 83, p. 8187 (1855). > http://adsabs.harvard.edu/abs/1855AJ......4...81G > > 3. Acton, F.S.: Real Computing Made Real: Preventing Errors in > Scientific and > Engineering Calculations. Princeton University Press (1996). > > > Best regards, > > Knud Thomsen > Geologist, Denmark
I tried this "replytoauthor" to hopefully alert you to my reply since it's a quite old thread. Hope I don't disturb



