Non-linear statistical technique applied to data from baboon articular cartilage.

M Warskyj; D S Hickey

doi:10.1016/0169-2607(90)90090-v

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Non-linear statistical technique applied to data from baboon articular cartilage.

M Warskyj·D S Hickey

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Abstract

Pattern recognition software was developed and applied together with statistical techniques to articular cartilage data from the knee joint of the baboon. The standard statistical method used for comparison was ANOVA which indicates linear discrimination. In addition a Karhunen-Loève expansion was performed to reduce the dimensionality of the data and provide independent uncorrelated variables. Nearest neighbour analysis, a non-linear method, when combined with bionomial probabilities gave discrimination that was not obtained by ANOVA. Use of pattern recognition and related techniques can improve and extend the analysis of biological data to include non-linear discrimination and classification.

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Algorithms Analysis of Variance Animals Cartilage, Articular Data Interpretation, Statistical Mathematical Computing Multivariate Analysis Papio Pattern Recognition, Automated Journal Article Research Support, Non-U.S. Gov't

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M Warskyj, D S Hickey. 1990. Non-linear statistical technique applied to data from baboon articular cartilage.. https://doi.org/10.1016/0169-2607(90)90090-v

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