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Free and open software for applied statistics. A comparison and a case study in biometrics

Niewiadomska E., Niewiadomski A.

Journal of Applied Computer Science

2011

Vol. 19, nr 1

65-83

This article is intended to be a position paper on advantages of free and open software for statistics and its applications to biometrics and biostatistics. Especially, the authors focus on the R package viewed as a new and still insufficiently recognized or received by the scientists, researchers, students, etc. Sample statistical computations and tests in biometrics are presented, and the most common functions and procedures are analysed and compared. Although this is a position paper from the point of view of applied computer science, the authors briefly present some original results within applied statistics (in particular: biometrics) and related computational methods using dedicated software.

Growth curve functions in modeling the thin-layer drying of corn

Siatkowski M., Weres J., Kujawa S., Szabelska A., Zyprych J.

Inżynieria Rolnicza

2010

R. 14, nr 6

89-95

Modeling the thin-layer drying process for corn is described using 37 growth curve functions. The most effective functions were qualified by the application of Akaike Information Criterion and Bayesian Information Criterion. Both criteria showed that the thin-layer drying process for corn was best described by the baroreflex five-parameter function.

Modelowanie procesu suszenia kukurydzy w cienkiej warstwie zostało opisane przy użyciu 37 krzywych wzrostu. Najlepiej dopasowane krzywe zostały wyłonione w oparciu o Informacyjne Kryterium Akaike oraz Bayesowkie Kryterium Informacyjne Schwarza. Oba współczynniki pokazały, iż proces suszenia kukurydzy w cienkiej warstwie najlepiej odwzorowuje pięcioparametrowa krzywa baroreflex.