Researchers at Los Alamos National Laboratory are investigating the complex relationships between the spread of the HIV virus in a population (epidemiology) and the actual, rapid evolution of the virus (phylogenetics) within each patient’s body.
A new algorithm designed at the University of Toronto has the power to profoundly change the way...
Origin and OriginPro 9.1 feature auto-positioning of labels in graphs, with the ability to add...
Object recognition is one of the most widely studied problems in computer vision. But a robot...
This latest post, inspired by International Talk Like a Pirate Day,1,2 will take a brief look at the Arrr..., I mean R, programming language. R is an open source functional scripting language designed for statistical analysis and data visualization.
One way to study criminal behavior and predict a criminal's next move is by analyzing his or her movement. Several mathematical models have addressed this in detail, in particular, the UCLA "burglary hotspot" model, also the topic of a previous Nugget published by the Society for Industrial and Applied Mathematics (SIAM).
In the wake of deadly tornadoes in Oklahoma this past spring, researchers have developed a new statistical model that will help determine whether the risk of tornadoes is increasing and whether they are getting stronger. Climatologists have been hampered in determining actual risks by what they call a population bias: That is, the fact that tornadoes have traditionally been underreported in rural areas compared to cities.
Need a car, but don’t want the hassle of owning one? Today, there are many services to help you get around this jam, including traditional car-rental companies, taxis, and car-sharing programs such as Zipcar and Greenwheels. But what if you want to drive a car without the inconvenience of having to return it to your starting point? That’s where a concept called “mobility on demand” comes in.
The 14th annual KDnuggets Software Poll, conducted in May 2013, attracted record participation of 1,880 internet voters, more than doubling the previous year's numbers. KDnuggets.com is a data mining portal and newsletter publisher for the data mining community with more than 12,000 subscribers.
Researchers used bioinformatics in two recent cancer studies in which, specifically, public domain genomics data helped to identify a tumor suppressor gene’s role in human cancers. The approach took the work out of animal models and moved it into computer analysis.
PITTSBURGH—This past weekend teams from the National Football League used statistics like height, weight and speed to draft the best college players, and in a few weeks, armchair enthusiasts will use similar measures to select players for their own fantasy football teams. Neuroscientists at Carnegie Mellon University are taking a similar approach to compile "dream teams" of neurons using a...
Mathematical Models Out-perform Doctors in Predicting Cancer Patient Outcomes and Treatment ResponseApril 23, 2013 2:15 pm | by ESTRO | News | Comments
Mathematical prediction models are better than doctors at predicting the outcomes and responses of lung cancer patients to treatment, according to new research presented at the 2nd Forum of the European Society for Radiotherapy and Oncology. These differences apply even after the doctor has seen the patient, which can provide extra information, and knows what the treatment plan and radiation dose will be.
Harvard researchers are adding statistical nuance to our understanding of how modern and historical temperatures compare. Through developing a statistical model of Arctic temperature and how it relates to instrumental and proxy records derived from trees, ice cores, and lake sediments, they have shown that the warmest summers in the last two decades are unprecedented in the previous six centuries.
William James once said: “We must be careful not to confuse data with the abstractions we use to analyze them.” Collinearity is a problem that occurs during the creation of regression models. It is the presence of intercorrelation among predictor variables. In other words, it occurs when a regressor is a linear combination of one or more other regressors.
It is always a pleasure to review a book on statistics (bias intended)! Especially one that is well-written, compact and well-constructed for its intended audience. Common Errors in Statistics (and How to Avoid Them), 4th Edition, is written for the non-statistician and can be readily assimilated by undergraduate students with a single statistics class under their belt.
Statistical Analysis 2008 Readers Choice Awards Bronze The STATISTICA analytics software suite features an array of data analysis, data management, data visualization and data mining procedures
Statistical Analysis 2008 Readers' Choice Awards Silver SigmaPlot is a scientific data analysis and graphing software package with an intuitive interface and wizard technology
Statistical Analysis 2008 Readers' Choice Awards Gold Quality Analyst is an SPC charting and analysis software solution providing a combination of power, flexibility and ease of use
Stata 10 is a complete, integrated statistical package designed for data analysis, data management and graphics. Features include multilevel mixed models, exact logistic regression, multiple correspondence analysis, a graph editor, and time-and-date variables
WebSQC ‘s Web platform allows users to check progress from anywhere. It is designed to help easily identify trends and adjust production to reduce costly errors
Minitab Statistical Software has been used to implement virtually every major Six Sigma initiative around the world
MYSTAT 12 is a freely downloadable statistical analysis software package designed specifically for use by students and the teaching community
SPSS 16.0 statistical software delivers enhanced integration with the Predictive Enterprise Services (PES) analytics platform, making it possible to store and manage a variety of analytic assets
The STATISTICA suite of data analysis applications provides a collection of advanced analytical, predictive data mining and data visualization tools with more than 13,000 externally callable functions.
SAS analytics software and the accompanying SAS Intelligence Platform offer predictive and descriptive modeling, forecasting, simulation, optimization and design of experiments.
JMP 7 statistical discovery software offers data visualization and analytics, updated graphical capabilities, the ability to manage unlimited volumes of data, and seamless integration with SAS
Minitab statistical software is used for and statistics education in research and academia, and for companies’ data-driven quality improvement programs, including Six Sigma.
NWA Quality Analyst is an SPC charting and analysis software program that enables users to graphically analyze process behavior and judge the impact of process improvement decisions with minimal training in statistical techniques. Run files automate virtually all capabilities.
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