Statistical Models of Shape

What if you could explore your data to see the story behind the numbers? You can. Created by SAS for statistical discovery, every product in the JMP software suite is visual and interactive, comprehensive and extendible. No matter what your field, we have a product that will help you connect with your data - whether you are new to statistical analysis or are a seasoned statistician.
Your analytic options continue to expand with JMP 9. You get powerful new ways of understanding, visualizing and communicating what your data is telling you. And when you make JMP your analytic hub, you can leverage your other favorite tools: SAS, Excel and R. You can also incorporate geographic maps into your JMP visualizations. Plus, an updated interface on Microsoft Windows makes for a fresh user experience.

This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling, it considers volatility modeling (double GLMs) and the general modeling of location, scale and shape parameters (GAMLSS). Actuaries need these advanced analytical tools to turn the massive data sets now at their disposal into opportunities.

A full-fledged Data Science Course for Everyone. Master Stats, Maths, Python, EDA, Machine & Deep Learning in 100 Days.

The 170 revised full papers presented were carefully reviewed and selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.

A rigorous, self-contained examination of mixed model theory and application
Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image.

Learn To Develop & Deploy Machine Learning, Data Science, Deep Learning Projects With Python On Heruko Cloud

Holism Theory, Dynamical Modeling in Biological Frameworks, PBPK Design, ADME, Tasting the Pharmaceutical Development

Holism Theory, Dynamical Modeling in Biological Frameworks, PBPK Design, ADME, Tasting the Pharmaceutical Development