You're invited to a Piano Ensemble and Poetry Concert organized by professor Irina Voro of the School of Music in the College of Fine Arts and senior lecturer Anna Voskresensky of the Department of Modern and Classical Languages, Literatures and Cultures in the College of Arts and Sciences. The program will be presented 7 p.m. Sunday, April 19, in the Singletary Center for the Arts Recital Hall. This event is free and open to the public.

Twenty students from the Department of Modern and Classical Languages, Literature and Cultures will recite poetry in Russian and English followed by 20 students from the School of Music performing piano ensemble compositions. This event features a diverse range of authors and composers and combines music and language to engage the audience in the experience of beauty through works of literature and music.

Join us for an unforgettable evening celebrating poetry and music performed by talented university students. Experience the beauty of spoken verse intertwined with live music, where words and melodies come together to create powerful emotion and meaning. Discover how poetry truly comes alive when it is heard alongside music.

Title: ANOVA at 100: A Resolution to an Enduring Quandary

Abstract: R. A. Fisher formalized Analysis of Variance – ANOVA – in Statistical Methods for Research Workers, first published in 1925. Soon ANOVA became widely accepted and applied in agriculture, economics, engineering, social sciences and other scientific disciplines. The subsequent need for instruction in ANOVA and applied statistics prompted the early establishment of statistics departments in several Land Grant colleges. ANOVA is arguably the most widely used of all statistical methods.
 

ANOVA spawned such terms as additive, interaction, fixed and random factor effects. It was the primary motivation to broaden the scope of multiple regression models to more general non-full-rank models, which required dealing with the notion of estimability. Its influence on the broad subject of linear models, on the teaching of statistical methods\ and on the practice of statistics has been immense. Despite this long history, the simple question, “In unbalanced designs, how should I test main effects in a model that includes interaction effects?” still prompts conflicting answers and even heated controversy. One frequently cited paper’s title commands “Use Type II instead of Type III sums of squares.” In the 2017 R. L. Anderson Invited Lecture, Michael Kutner dealt with some of those unsettled questions.
 

My goal in this lecture is to describe a resolution for ANOVA in unbalanced designs, including those with empty cells. That resolution entails a general formulation of models for ANOVA effects and then some new results in the basic theory of linear models. Together those open two major, equally valid, paths for inference about ANOVA effects. There have been many different accounts of this subject over the last century. If you would like to familiarize yourself with the way I have treated ANOVA more recently, see the attached references. A data set is included as a supplement to this abstract to illustrate the different responses to the same question that are available from widely available statistical computing packages, depending on the package and the options chosen. I hope you’ll give it a shot in your preferred package.