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PREDICTIONS – 10 Years Later - Santa Fe Institute

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APPENDIX A<br />

one—except during the saturating phase; that is, while in transition between<br />

the end of the phasing in and the beginning of the phasing out.<br />

The generalized equations for the market shares of n competitors<br />

are:<br />

1<br />

f i (t) = ————— ,<br />

1 + e –(at+b)<br />

i ≠ j<br />

and<br />

n<br />

f j (t) = 1 – ∑ f i (t)<br />

i=1<br />

i ≠ j<br />

Fitting an S-curve on a Set of Data Points<br />

There are many ways to fit a mathematical function onto a sequence of<br />

data points. The method used extensively in this book, and the one<br />

likely to produce the best results, involves iterations through a computer<br />

program which tries to minimize the following sum<br />

(F i – D i ) 2<br />

———— ∑<br />

i W i<br />

where F i is the value of the function, D i is the data value and W i is the<br />

weight we may want to assign, all at time t i . The function is originally<br />

evaluated unintelligently by assigning arbitrary starting values to the<br />

parameters of F, but the program performs a trial-and-error search<br />

through many iterations to determine those values for which the sum<br />

becomes as small as possible.<br />

For S-curve fitting, the function F takes the form of Equation (2),<br />

while for one-to-one substitutions it takes the form (3) or simply the<br />

straight-line expression: at + b.<br />

278

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