Computing Cohen’s kappa coefficients using SPSS MATRIX

Spss/pc+

news. If you create conditions incompatible with life, the program lets you know your patient is dead, this is the MacMan equivalent of crashing your airplane in a flight simulator, and should this happen you merely start again, because there is no equivalent to reversing the program and resurrecting the dead. Some of the experiment options include: cutting the buffer nerves, resetting barorece...

An Elementary Method for Computing the Kostka Coefficients

Task Scheduling Algorithm Using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in Cloud Computing

The cloud computing is considered as a computational model which provides the uses requests with resources upon any demand and needs.The need for planning the scheduling of the user's jobs has emerged as an important challenge in the field of cloud computing. It is mainly due to several reasons, including ever-increasing advancements of information technology and an increase of applications and...

Computing the additive degree-Kirchhoff index with the Laplacian matrix

For any simple connected undirected graph, it is well known that the Kirchhoff and multiplicative degree-Kirchhoff indices can be computed using the Laplacian matrix. We show that the same is true for the additive degree-Kirchhoff index and give a compact Matlab program that computes all three Kirchhoffian indices with the Laplacian matrix as the only input.

SPSS and SAS programs for comparing Pearson correlations and OLS regression coefficients.

Several procedures that use summary data to test hypotheses about Pearson correlations and ordinary least squares regression coefficients have been described in various books and articles. To our knowledge, however, no single resource describes all of the most common tests. Furthermore, many of these tests have not yet been implemented in popular statistical software packages such as SPSS and S...