I present an active learning classroom exercise illustrating essential principles of one-way analysis of variance (ANOVA) methods. The exercise is easily conducted by the instructor and is instructive (as well as enjoyable) for the students. This is conducive for demonstrating many theoretical and practical issues related to ANOVA and lends itself to multiple possible configurations of ANOVA re...

This paper briefly reviews the most frequently used and misused intraclass correlation analysis of variance (ANOVA) reliability measures. Recommendations are made for the one-way ANOVA intraclass correlation and against the use of several coefficients: Winer's so-called "anchor point method," KuderRichardson Formula Number 20, and the Spearman-Brown prediction formula. The computation of the in...

This paper is a tutorial introduction to the analysis of variance (ANOVA), intended as a reference for aerospace researchers who are being introduced to the analytical methods of the Modern Design of Experiments (MDOE), or who may have other opportunities to apply this method. One-way and two-way fixed-effects ANOVA, as well as random effects ANOVA, are illustrated in practical terms that will ...

Location S1A1 S1A2 S2A1 S2A2 Fig. 1 Design for the estimation of the random components of uncertainty arising from both the sampling and the analytical procedures. (A) Balanced design. (B) Unbalanced design. An empirical estimation of the random components of measurement uncertainty arising from the sampling and analytical processes can be made via an experiment involving replication. Analysis ...

We study the interaction between communication protocols, network topology and packet traffic in wireless static radio networks. A particular interest is to empirically characterize the effect of interaction between the routing layer and the MAC layer on overall system performance. Three well known MAC protocols: 802.11, CSMA, and MACA are considered. Similarly three recently proposed routing p...

Smoothing Spline ANOVA is a statistical modeling algorithm based on a function decomposition similar to the classical analysis of variance (ANOVA) decomposition and the associated notions of main effect and interaction. It represents a suitable screening technique for detecting important variables (Variable Screening) in a given dataset. We present the mathematical background together with poss...

Technological advances have facilitated many developments in the MEMS, electrical, medical and aerospace industries in recent years. As the devices commonly found in these industries have become smaller, so the requirements for high-precision machining techniques have become ever more pressing. Nowadays, micro-machining processes are playing an important role in satisfying these requirements. A...