Introductory statistical methods for biological data: describing data (numerical and graphical summaries); introduction to probability; and statistical inference (hypothesis tests and confidence intervals).
This seminar provides an overview and introduction to the statistical software R for the analysis and graphical presentation of natural and social science data.
Introduction to Graphical Models.
Introduction of Graphical Processing Units (GPUs) and computing using GPUs in recent years opened possibilities for simple parallelization of programs.
If you are unfamiliar with our procedures, there is information about the graphical displays and an introduction to interpretation of the analysis for these and related events.
Topics covered include: descriptive statistics, graphical displays of data, introduction to probability, expectations and variance of random variables, confidence intervals and tests for means, differences of means, proportions, differences of proportions, chi-square tests for categorical variables, regression and multiple regression, an introduction to analysis of variance.
The introduction of graphical analysis procedures for quantification of brain positron emission tomography (PET) data has made it possible to avoid many of the problems of regular compartmental modeling, such as the necessity of model identifiability and validation.
This chapter is an introduction to the graphical approach for model generation.
It begins with an introduction to a graphical representation of air-conditioning processes called the psychrometric chart.
As Sean Hollister notes, while the idea of an entirely text-based operating system now sounds barbaric, the graphical user interface, with its introduction of icons, scroll bars, and windowed programs, was unseemly at the time: a Christmas Day, 1984, New York Times editorial declared "Value of Windowing Is Questioned".
