Nowadays, the internet and social networks become more popular than ever. People in all ages use the internet and communicate by that. One of the most terrible events in our daily life is to disconnect from the internet and lose the connections. It may also influence on the economics; so the sustainability in this area is necessary. Internet service provider companies are the executors of selli...

     Drought stress is one of the most important factors affecting plant growth. Plant growth under drought stress may be enhanced by the application of microbial inoculation including plant growth promoting rhizobacteria. This research was conducted as a factorial experiment in a completely randomized design. The first factor included the bio-fertilizer (A. vinelandii (A)), P. agglomerans+ P. ...

Within structural equation modeling, the most prevalent model to investigate measurement bias is the multigroup model. Equal factor loadings and intercepts across groups in a multigroup model represent strong factorial invariance (absence of measurement bias) across groups. Although this approach is possible in principle, it is hardly practical when the number of groups is large or when the gro...

A commonly used follow-up experiment strategy involves the use of a foldover design by reversing the signs of one or more columns of the initial design. DeŽ ning a foldover plan as the collection of columns whose signs are to be reversed in the foldover design, this article answers the following question: Given a 2kp design with k factors and p generators, what is its optimal foldover plan? We ...

There is an ongoing discussion whether it is wise to randomize the run order of a factorial experiment if there is concern about a possible time trend in the experiment. It can be argued that a randomized order is not very effective because the trend inflates the error. Some authors even criticize that a randomized order will normally not be orthogonal to trend, they claim that therefore there ...

Random Forests are a powerful classification technique, consisting of a collection of decision trees. One useful feature of Random Forests is the ability to determine the importance of each variable in predicting the outcome. This is done by permuting each variable and computing the change in prediction accuracy before and after the permutation. This variable importance calculation is similar t...

This article introduces a new class of experimental designs, called split factorials, which allow for the estimation of both response surface effects (fixed effects of crossed factors) and variance components arising from nested random effects. With an economical run size, split factorials provide flexibility in dividing the degrees of freedom among the different estimations. For a split factor...

An experiment employing a factorial arrangement of three levels (0, 8 and 16%) of canola meal (CM), two levels (0.15 and 0.25%) of nonphytate phosphorus (NPP), and two levels (0 and 450 unit/kg; as fed basis) of microbial phytase was conducted using 216 Hy-Line W36 laying hens from 39 to 47 weeks of age. The birds receiving CM consumed more (P < 0.05) feed than birds receiving corn-soybean meal...