Inspired by earlier observations of use-wear on quartz, a pilot study has been undertaken, in which characteristics of microscopic striations have been linked to the properties of contact materials. Through a series of experiments, un-hafted and un-modified quartz flakes were used to cut different raw materials. Striations produced in the experiments were then studied via microscope using a high powered method. By comparing striations between the different experimental flakes, effects of the worked material could be observed. The results were then further tested by studying the collected joint length and width data through a statistical analysis. This analysis indicates how such data may distinguish different worked materials, and in particular are related to the relative hardness of the material. Though the role of environmental variation is not yet fully realized, the study has made evident that length and width of the use-wear striations should be considered important as they together have the potential to distinguish between different contact materials.

Evaluation of climate model simulations is a crucial task in climate research. Here, a new statistical framework is proposed for evaluation of simulated temperature responses to climate forcings against temperature reconstructions derived from climate proxy data for the last millennium. The framework includes two types of statistical models, each of which is based on the concept of latent (unobservable) variables: confirmatory factor analysis (CFA) models and structural equation modelling (SEM) models. Each statistical model presented is developed for use with data from a single region, which can be of any size. The ideas behind the framework arose partly from a statistical model used in many detection and attribution (D&A) studies. Focusing on climatological characteristics of five specific forcings of natural and anthropogenic origin, the present work theoretically motivates an extension of the statistical model used in D&A studies to CFA and SEM models, which allow, for example, for non-climatic noise in observational data without assuming the additivity of the forcing effects. The application of the ideas of CFA is exemplified in a small numerical study, whose aim was to check the assumptions typically placed on ensembles of climate model simulations when constructing mean sequences. The result of this study indicated that some ensembles for some regions may not satisfy the assumptions in question.

Through a structured examination of four English causal discourse connectives, our article tackles a gap in the existing research, which focuses mainly on written language production, and entirely lacks attests on English spoken discourse. Given the alleged general nature of English connectives commonly emphasized in the literature, the underlying question of our investigation is the potential role of the connective phrases in marking the basic conceptual distinction between objective and subjective causal event types. To this end, our study combines a traditional corpus analysis with 'predictive' statistical modeling for subjectivity variables to investigate whether and how the tendencies found in the corpus depend on the systematic preferences of the language user to encode subjectivity via a discourse connective. Our findings suggest that while certain conceptual structures are quite fundamental to the usages of English connectives, the connectives per se do not seem to have a steady part in categorization of causal events. Rather, their role pertains to the level of intended explicitness bound to specific rhetorical purposes and contexts of use.

Harald Cramér utnämndes 1929 till professor i forsäkringsmatematik och matematisk statistik vid Stockholms högskola. Efter nagra år hade han ett eget institut, Institutet for forsäkringsmatematik och matematisk statistik, med egna lokaler vid Odengatan, och 1-2 anstallda amanuenser. Där bedrevs en livlig verksamhet.

Cramér hade ett brett kontakt nät bland stora namn inom sannolikhetsteorin. I hans outgivna memoarer, "Korta minnen fran ett långt liv", kan man läsa om nära kontakter med t.ex. Lévy och Féechet i Paris. I Institutets seminarieserie märks internationella namn som t.ex. Theodore (Ted) W. Anderson, Jerzy Neyman - och från 1934 en begåvad ung matematiker vid namn Willy Feller, som gästade Institutet under nära fem års tid.

Det är Feller som är ämnet för var uppsats, en sedermera berömd probabilist, inte minst känd för sina två böcker i ämnet.