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Plains Indian Studies - Smithsonian Institution Libraries

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164 SMITHSONIAN CONTRIBUTIONS TO ANTHROPOLOGY<br />

use Statistical techniques to test for them empirically<br />

(e.g., Binford, 1978:88; Reher, 1977:33, for<br />

bison processing).<br />

Grayson's (1973) contrast between minimum<br />

and maximum distinction methods in the calculation<br />

of MNI corrects for interdependence on a<br />

locational rather than an anatomical basis. He<br />

notes that MNI values for taxa in a whole sample<br />

are larger when calculated by summing subtotal<br />

MNI for each excavation unit than when calculated<br />

by taking the whole site sample together.<br />

By reducing the number of stratigraphic distinctions<br />

used in making the calculation, the size of<br />

the site area seen as likely to produce interdependent<br />

specimens is increased. By making the<br />

number of stratigraphic distinctions large, on the<br />

other hand, the zooarcheologist implies his conviction<br />

that interdependence is limited to small<br />

site areas. This is precisely the operation Parmalee<br />

is performing when he sums the MNI for birds<br />

across sites. He implies a lack of interdependence<br />

between sites but strong interdependence within<br />

sites. Krantz (1968) also has proposed a method<br />

for estimating species frequency by using a kind<br />

of a measure of sample interdependence. He suggests<br />

that the proportion of pairable right and<br />

left bone fragments of the same element type<br />

(e.g., the number of cases in which it can be<br />

shown that pairs of right and left mandibles came<br />

from the same individual) compared to the total<br />

number of fragments of that element is related to<br />

the proportion of the whole finds population that<br />

is actually recovered. Krantz's equation relating<br />

the number of pairs to the number of animals in<br />

the finds collection is a hyperbolic relationship<br />

(Casteel, 1977). At low levels of pairing, an enormous<br />

change in the estimated number of individuals<br />

is produced by a loss or gain of one pairing.<br />

Since in practice it is extremely difficult to establish<br />

pairs, the potential for error in a sample of<br />

low interdependence is tremendous.<br />

Considerable attention has been paid to the<br />

relationship between MNI and total fragment<br />

count E. For instance, Casteel (1976-1977) used<br />

a sample of 610 pairs of data (MNI and E),<br />

drawn from a wide variety of archeological and<br />

paleontological studies. By plotting MNI against<br />

E, he produced a curvilinear relationship when E<br />

is less than 1000 specimens and a linear relationship<br />

when E is greater than 1000 specimens.<br />

Grayson (1978) and Ducos (1975:42, note 1) have<br />

also reported a curvilinear relationship. Casteel<br />

(1976-1977:142-145) has provided a succinct<br />

summary of other analyses. King (1978) also plotted<br />

the relationship of MNI to E for a wide<br />

variety of sites but partitioned his sample into<br />

subsamples composed of the values for cows, pigs,<br />

and sheep (King, 1978, fig. 2).<br />

This observation has led some workers to the<br />

conclusion that MNI values cannot be compared<br />

when the difference between the size of the samples<br />

used to compute them is great. This conclusion<br />

is in error. The nature of the MNI statistic<br />

does not imply this curvilinear relationship. The<br />

slope of the line that relates MNI and E for any<br />

group of samples is controlled by the probability<br />

of recovering the most common type of bone<br />

element. In cases where only one element type<br />

has distinctive morphological features permitting<br />

the identification of the taxon, the slope of the<br />

plot MNI to E for a group of samples of this<br />

taxon is equal to 1. No matter how big or how<br />

small the sample, each bone fragment identified<br />

necessarily increases the MNI by 1. In taxa where<br />

several element types have distinctive morphological<br />

features the situation is more complex. The<br />

upper limit of the slope is 1; the case where,<br />

despite the fact that there are several potentially<br />

recognizable bone element types, only one type is<br />

actually recovered. The lower limit of the slope is<br />

defined by the situation where each of the possible<br />

element types are found in equal proportions. On<br />

the average, one of each of the element types<br />

accumulates in the process of identification before<br />

the MNI increases by one. Figure 25 illustrates<br />

this range of potential slopes for a species with 10<br />

potentially identifiable element types. The upper<br />

limit of the slope is shown by "a": each bone<br />

fragment identified for the taxon is the same kind<br />

of bone element. The lower limit is "b": all 10<br />

element types are found in equal proportions. As<br />

the number of identifiable bone elements in-

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