Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

This course provides an overview of modern applied statistics. It will cover an introduction to quantitative research design, exploratory data analysis and data visualisation, generalised linear ...

and deciding on the mathematical structure of the model. Statistical analysis alone cannot guarantee that the best model is being used: Good managerial judgment is an important component of the ...

Analysis of neuroimaging studies shows that close attention to experimental design can increase the statistical robustness of ...

Statistical language models assign probabilities to sequences of words, and are used in systems that perform text summarization, machine translation, question answering, information extraction, text ...

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the techniques you need to build statistical models ...

The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding parameters; namely, the slope and intercept in the ...

As energy from the sun reaches Earth, some solar radiation is absorbed by the atmosphere, leading to chemical reactions like ...