Dynamic rhythmometry: Inferential excess indices using microcomputers
P Cugini · Journal of Interdisiplinary Cycle Research · 1987
Both instrumentation and computer technologies made possible a real‐time monitoring of clinical problems. Data acquisition is intimately linked to the need for adequate statistical methods. Most of the biostatistical procedures deal with the numerical statistics of discontinuous data series. More recently, computer‐assisted statistics makes affordable the data series analysis using inferential procedures. Analytical statistics is an integral part of the chronobiologic methods used for estimating the biological functions in their periodicity along the time scale. This report is, thus, dealing with a software entirely dedicated to process biodata series by means of the inferential rhythmometry of chronobiology.