Summary In this research, an intrinsically nonlinear split-plot design model (INSPDM) is formulated and studied. It was by fitting a Johnson–Schumacher (JS) function to the mean function. The fitted parameters are estimated using generalized least squares (EGLS) technique based on Gauss–Newton procedure with Taylor series expansion, minimizing objective of model. variance components for whole p...

In this research, effect of vermicompost and plant growth promoting rhizobacteria (PGPR) on physiological traits of lemon balm under drought stress condition was investigated in year 2012 at Karaj Research Institute of Forest and Rangelands. Experiment was conducted as split-split plot in a randomized complete block design with three replications. irrigation (normal: irrigated to field capacity...

We introduce a new method for generating optimal split-plot designs. These designs are optimal in the sense that they are efficient for estimating the fixed effects of the statistical model that is appropriate given the split-plot design structure. One advantage of the method is that it does not require the prior specification of a candidate set. This makes the production of split-plot designs ...

Fractional factorial designs are used widely in screening experiments to identify significant effects. It is not always possible to perform the trials in a complete random order and hence, fractional factorial split-plot designs arise. In order to identify optimal fractional factorial split-plot designs in this setting, the Hellinger distance criterion (Bingham and Chipman (2007)) is adapted. T...