The collection of descriptive biological data (the ... chapters of the book to stories of individuals, constituting something of a 'great man' approach to the history of statistics (with just ...

Most environmental problems involve a large degree of uncertainty, and one way to improve understanding of the issues affecting the global environment is the use of statistics. This book describes the ...

Information Loss: Summarizing data can obscure ... a full understanding, use descriptive statistics along with inferential statistics, visualization, and advanced analysis. As estatísticas ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

GDP and other hard data are more comprehensive and focus on the past. While anecdotal evidence is more fickle, but can show ...

A recent Section U webinar held in December, featured Maria Terres, Ph.D., a senior staff data scientist from autonomous car ...

To judge the AI tools’ summaries and analysis, I gathered a panel of experts — including the original authors of the book and scientific ... papers in its training data. Research reports ...

Melanoma skin cancer is the 5th most common cancer in the UK, accounting for 5% of all new cancer cases (2017-2019).[1-4] In females in the UK, melanoma skin cancer is the 5th most common cancer (5% ...

Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning.

According to a report by MBO Partners the number of American digital nomads has risen from just over 7 million in 2019 to around 17 million in 2023. While other estimates predict the total number ...

Have knowledge of the specific statistical challenges associated with the analysis of high-throughput biological data. Know important molecular databases and relevant statistics/ bioinformatics ...