Accurate estimates of a primate’s home range are important, yet methods vary greatly. This paper examines the accuracy of minimum convex polygon (MCP), adaptive kernel (AK) and fixed kernel (FK) estimators by comparing home range estimates of northern bearded saki monkeys (Chiropotes satanas chiropotes) living in forest fragments and continuous forest in the Brazilian Amazon area. MCP was more accurate than AK and FK in calculating home and day range when sample size was small, and AK overestimated range most frequently. It is important to consider the various home range methods, as the appropriate method may depend on sample size and the species’ behavioral ecology.