Detecting salinity in early stages using electromagnetic survey and multivariate geostatistical techniques. This research is aimed at increasing the accuracy of detecting soil salinity in early stages of the process. This phenomenon develops at depth; optical remote sensing (e.g. satellite images) cannot be useful in detecting subsoil variability. Therefore Electromagnetic (EM) survey, using EM...

When it is impractical to perform the experimental runs of a fractional factorial design in a completely random order, restrictions on the randomization can be imposed. The resulting design is said to have a split-plot, or nested, error structure. Similarly to fractional factorials, fractional factorial split-plot designs can be ranked by using the aberration criterion.Techniques that generate ...

The generation of extended plots for melodramatic fiction is an interesting task for Artificial Intelligence research, one that requires the application of generalization techniques to carry out fully. UNIVERSE is a story-telling program that uses plan-like units, "plot fragments", to generate plot outlines. By using a rich library of plot fragments and a well-developed set of characters, UNIVE...

The snowflake plot is a scatter plot that displays relative timings of three neurons. It has had rather limited use since its introduction by Perkel, Gerstein, Smith, and Tatton (1975), in part because its triangular coordinates are unfamiliar and its theoretical properties are not well studied. In this letter, we study certain quantitative properties of this plot: we use projections to relate ...

In a recent paper, Monlezun and Blouin (1988) proposed an analysis of covariance for a split plot experiment. They suggest a model consisting of five regression coefficients, one for each of the effects whole-plot treatment means, whole-plot errors, split plot-treatment means, whole-plot and split-plot treatment interactions and the experimental errors. In this paper we critically examine the a...