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New regression equations for stature estimation for medieval Scandinavians
Author(s) -
Maijanen H.,
Niskanen M.
Publication year - 2009
Publication title -
international journal of osteoarchaeology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 60
eISSN - 1099-1212
pISSN - 1047-482X
DOI - 10.1002/oa.1071
Subject(s) - regression , regression analysis , context (archaeology) , seemingly unrelated regressions , estimating equations , statistics , mathematics , estimation , linear regression , simultaneous equations , econometrics , geography , maximum likelihood , engineering , mathematical analysis , archaeology , systems engineering , differential equation
Estimating stature from skeletal remains in an archaeological context requires appropriate methods that take into account possible temporal and spatial changes in body proportions. New regression equations—both least squares (LSQ) and reduced major axis (RMA) equations—were thus developed for estimating living stature from the long bone lengths of medieval inhabitants ( N = 60) of Westerhus, Sweden. The living stature of these skeletal specimens was determined by using the anatomical method. Findings in this study reveal that LSQ regression equations systematically overestimate statures of short individuals and underestimate those of tall individuals, whereas the RMA equations—both combined sexes and sex‐specific equation—provide more accurate stature estimations for individuals of very different statures. The combined sexes RMA‐equations should be used for cases in which the sex is unknown because they provide more accurate stature estimations than sex‐specific equation with a wrong sex determination. These new equations are more appropriate than generally used regression equations for estimating statures of the medieval period Scandinavians. Copyright © 2009 John Wiley & Sons, Ltd.