When Graham Cavanaugh divorced his first wife it was to marry his girlfriend, Audra, a woman as irrepressible as she is spontaneous and fun. But, Graham learns, life with Audra can also be exhausting, constantly interrupted by chatty phone calls, picky-eater houseguests, and invitations to weddings of people he's never met. Audra firmly believes that through the sheer force of her personality she can overcome the most socially challenging interactions,...

As a fateless, Kate Hale shouldn't receive any predictions. Let alone of her own death. The death notice may be fake, and a set up from the group determined to alter fate to their design, but the threat is real. Wyrd wants her eliminated. Her romantic relationship with Accidental Death liaison, Ian Becker, presents a new challenge: how to calm a werewolf obsessed with keeping her safe. When Michelle Kitman-math genius hero and the inspiration for...

This report describes a software package that was written to support the U.S. Army Research Laboratory's (ARL) program in force-detected nano-magnetic resonance imaging (MRI). The software characterizes the noise found in cantilevers used for nano-MRI. The noise can be thermal noise that manifests itself as the Brownian motion of the cantilever, or it can be environmentally induced from external forces that excite the cantilever. The program analyzes...

Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high school...

Having learned to convert uncertainty to risk in Lecture 2, now go deeper by investigating how probabilities can gauge rewards and risks. Test risk-assessing tools used in finance, including expected value, variance, standard deviation, coefficient of variation, Sharpe ratio, covariance, and beta.

Confront how ALL data has uncertainty, and why statistics is a powerful tool for reaching insights and solving problems. Begin by describing and summarizing data with the help of concepts such as the mean, median, variance, and standard deviation. Learn common statistical notation and graphing techniques, and get a preview of the programming language R, which will be used throughout the course.

As developing nations across the globe struggle to find effective means of reaching out to their hungry, they need knowledge about alternative ways of addressing this issue. It is useful to know how other nations are addressing this problem and the level of success achieved. More cost effective and efficient systems need to be, looked into. It is difficult to find all the relevant information about food security schemes in one place. It is even more...