To begin, we first use B to project all the training data into a low-dimensional discriminant space. Let Σw and μk denote the within-class pooled covariance matrix and the mean of class k respectively for all the projected data. When given a new observation x, we assume that it is draw from a normal distribution with mean given by some μk and covariance given by Σ B w . We then assign x ? to th...

PURPOSE To assess pattern electroretinogram (PERG) changes in patients with established or suspected primary open angle glaucoma (POAG). MATERIALS AND METHODS Transient PERG using LV Prasad eye electrodes were performed in 76 normal, 32 glaucomatous and 22 glaucoma suspect eyes. The P50 amplitude, N95 amplitude and P50 latency were analyzed. The results were further analyzed with receiver ope...

1. We collected adult stoneflies periodically over a 1-year period at 38 sites in two headwater catchments in the Ouachita Mountains, Arkansas, U.S.A. The 43 species collected were a subset of the Ozark-Ouachita fauna and the much larger fauna of the eastern U.S.A. We estimated 78–91% species coverage in the two catchments using jackknife extrapolation of species richness from our survey. 2. Ma...

We introduce a technique for extending the classical method of Linear Discriminant Analysis to data sets where the predictor variables are curves or functions. This procedure, which we call functional linear discriminant analysis (FLDA), is particularly useful when only fragments of the curves are observed. All the techniques associated with LDA can be extended for use with FLDA. In particular ...

global warming and predictions of climatic changes additionally put breeding for drought tolerance in the focus of breeding programmes for maize. extensive studies on the existing gene bank collection of the maize research institute “zemun polje“ have been performed with the aim to identify and form initial sources for the development of maize inbreds more tolerant to drought. all accessions (a...

Detrended Fluctuation Analysis (DFA) is widely used to assess the presence of long-range temporal correlations in time series. Signals with long-range temporal correlations are typically defined as having a power law decay in their autocorrelation function. The output of DFA is an exponent, which is the slope obtained by linear regression of a log-log fluctuation plot against window size. Howev...