01. Design and Analysis of Experiments

TL;DR: In this paper, an evaluation of the surface finish generated by peripheral milling of 15mm-thick MDF panels was carried out, where four different tools were tested with different helix angles and number of teeth.

TL;DR: In this paper, brown rice was puffed in a microwave and hot-sand-bed after its pressure parboiling, and the experiments were carried out using a full factorial design.

TL;DR: In this paper, the relationship between the layered construction strategy and the material properties of the printed parts was characterized by micrograph analysis, tensile testing along with fracture analysis and laser flash analysis.

TL;DR: In this paper, it is shown that Tukey's test of additivity is equivalent to the test of a regression coefficient in a model with a single covariate, and the derivation given is general for the standard experimental designs, such as complete and incomplete randomized blocks and Latin squares.

TL;DR: In this paper, the authors provide a detailed discussion of the calculation of sample sizes using the width of confidence intervals for pairwise comparisons, treatment-versus-control comparisons, trends, and difference of averages.

TL;DR: In this article, an alternate formula for computing the adjusted treatment sum of squares for Group Divisible Partially Balanced Incomplete Block Designs (GD-PBIB) was proposed.

TL;DR: The authors summarize information scattered in the technical literature on a subject too new to be included in most textbooks, but which is of interest to statisticians, and those who use statistics in science and education, at an advanced undergraduate or higher level.