The centre of statistics invites you to a Zoom-send seminar series about statistics for environmental monitoring and assessment. The seminars are held Fridays, 13-14 unless indicated otherwise in the program.
As the demand for courses in statistics is great, there are several new courses in statistics are offered during the academic year 2019/2020. Two new single subject courses in statistics for undergraduate students are given during the fall of 2019 and the spring of 2020 is the starting point for the new 3-year schedule for the Ph.D statistics courses, the courses included are Statistics I through IV and Statistical methods.
Den 30 september - 1 oktober äger en konferens rum på Ultuna.
Huvudsyftet är att informera om, och diskutera, läget vid olika svenska lärosäten
med tanke på de förändringar som äger rum inom statistikämnet och relaterade
discipliner som data- och beräkningsvetenskap.
Individual-based forest ecology and management is an interdisciplinary research field with a focus on how the individual behaviour of plants contributes to the formation of spatial patterns that evolve through time. Key to this research is a strict bottom-up approach where the shaping and characteristics of plant communities are mostly the result of interactions between plants and between plants and humans.
For the first time an overall presentation of the environmental state in Swedens lakes, water courses and sea is available. On the webpage sverigesvattenmiljö.se you can compare temporal trends of the environmental state in different types of waters.
In music theory and related research is analysis of structures an important matter, and statistical methods prove useful. By a quantification of fugue themes (range, length, number of unique notes etc.), a comparison between Johann Sebastian Bach and other composers can be made.
When environmental time series are affected by a change of chemical analysis method or by a change of conducting laboratory statistical methods can be used to determine if the present series shows signs of a level shift. Such shift estimates are considerably more effective when there is a time period available where both chemical methods are used or when both laboratories conduct the analysis. If there are no such overlapping time periods the estimate’s variance will be big and, if there additionally is a trend in the series, can also be strongly biased. A reliable statistical analysis of trend in such series is then hardly possible.
On 25 October 2017 the Dean of the SLU Faculty of Forest Sciences at Umeå, Prof. Göran Ståhl, officially opened a new room for statistical consultation dedicated to the living memory of the late Prof. Bertil Matérn on the occasion of the centenary of his birthday.