Model extrapolations, disturbances or sensor faults are first detected through a combined statistic (that considers the calibration region); then, a diagnosis is made by combining statistics pattern recognition, contribution analysis, and disturbance isolation based on historical fault patterns.
However, the practical interest of such alternative statistic for pattern problem is yet to be studied.
Generally, these gene-finding methods are divided into two broad categories [ 2]. "Extrinsic" methods take into account information derived from similarity search procedures [ 3]. "Intrinsic" methods, which deal with DNA sequence only, use statistic or pattern recognition algorithms to find genes in DNA through detection of specific motifs or global statistical patterns.
When processes from multiple landscapes are included in the same neighbourhood and simultaneously considered by Moran's I i statistic, spatial patterns from two processes are mixed, and the spatial pattern signal, masked.
This is not unexpected, because the Morisita index is a global statistic of colocalization pattern and so loses statistical power as the amount of tumor material decreases.
We define the pattern statistic associated to any number Nobs ∈ ℕ of observations by This way, a pattern has a positive statistic if it is seen more than expected, a negative statistic if seen less than expected and, in both cases, the corresponding p-value is given (in log scale) by the magnitude of the statistic.
Second, a multivariate point pattern statistic based on this theoretical framework is applied to location patterns of fast food outlets to measure the effects that major road infrastructure has on firm location behavior in this sector.
Statistic: To test pattern discrimination within a single experiment we used Fisher's exact tests.
This variability is comparable to that observed in many real neurons during working memory We next examine the range of statistic and memory pattern types occurring in the activity of units in a spiking network with four populations of 50 neurons each.
A very natural question is then, how this variability could affect a pattern statistic study, and, as this variability grows with the Markov model order, how to choose this parameter.
