In some experiments, the levels of factors are difficult to change; then fractional factorial split-plot (FFSP) designs suitable for selection. an FFSP design, divided into two classes—the whole plot (WP) and subplot (SP) factors. selection WP can affect that SP factors, which attracts much attention Paying more a new optimality criterion selecting such is proposed. The robustness proposed meth...

Abstract. The meta-plot is a descriptive visual tool for meta-analysis that provides information on the primary studies in and results of meta-analysis. More precisely, portrays (1) precision statistical power meta-analysis, (2) estimate confidence interval random-effects (3) cumulative yielding robustness check meta-analytic effect size with respect to studies’ precision, (4) evidence publicat...