Ian Cox

In Book 2 of 'The Rafferty Roo and Hobson Too' series, Henry makes his second visit to Kingscott Farm. In a race against time, and by using the power of teamwork, Henry and the gang begin the 'Battle for Kingscott Wood,' to protect the local wildlife and nature. Red Setters, Rafferty and Hobbs, guide Henry to fight for what is right, using their secret powers.. .and when Henry and the dogs get together, mischief and danger is never too far away. What will be in store for Henry this time?

"I don't like dogs. You know I don't," complained Henry White. Henry and his younger sister, Mabel are visiting Kingscote Farm with their Grandma and Grandad. Henry wanted to stay at home, he was frightened of dogs and didn't think much to a farm adventure either. But that was until he met Rafferty and Hobbs...

Joshua, Sphinx and the Butterfly is the debut Poetry Collection from English / Canadian Poet, Ian Cox. The Collection includes Poetry amassed from the last 25 years, a time period spanning from adolescence to middle age. The themes of the works range from personal to the fantastical to the religious. Often written in a Surrealist style incorporating stream of Consciousness technique, the collected Poems are sometimes absurd, sometimes magical while retaining a feel for the experiential. The author attempts to pay homage to the style of numerous literary influences over the period in Question ranging from Leonard Cohen and Pablo Neruda to William Blake and John Keats.

Streamline data analysis with an intuitive, visual Six Sigma strategy Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual knowledge to pose relevant questions and make more sound decisions. You'll learn dynamic visualization and exploratory data analysis techniques that help you identify occurrences and sources of variation, and the strategies and processes that make Six Sigma work for your organization. The Six Sigma strategy helps you identify and remove causes of defects and errors in manufacturing and business processes; the more pragmatic Visual approach opens the strategy beyond the realms of statisticians to provide value to all business leaders amid the growing need for more accessible quality management tools. See where, why, and how your data variesFind clues to underlying behavior in your dataIdentify key models and driversBuild your own Six-Sigma experience Whether your work involves a Six Sigma improvement project, a design project, a data-mining inquiry, or a scientific study, this practical breakthrough guide equips you with the skills and understanding to get more from your data. With intuitive, easy-to-use tools and clear explanations, Visual Six Sigma is a roadmap to putting this strategy to work for your company.

Partial Least Squares (PLS) is a flexible statistical modeling technique that applies to data of any shape. It models relationships between inputs and outputs even when there are more predictors than observations. Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores PLS and positions it within the more general context of multivariate analysis. Ian Cox and Marie Gaudard use a learning through doing style. This approach, coupled with the interactivity that JMP itself provides, allows you to actively engage with the content. Four complete case studies are presented, accompanied by data tables that are available for download. The detailed how to steps, together with the interpretation of the results, help to make this book unique. Discovering Partial Least Squares with JMP is of interest to professionals engaged in continuing development, as well as to students and instructors in a formal academic setting. The content aligns well with topics covered in introductory courses on: psychometrics, customer relationship management, market research, consumer research, environmental studies, and chemometrics. The book can also function as a supplement to courses in multivariate statistics and to courses on statistical methods in biology, ecology, chemistry, and genomics. While the book is helpful and instructive to those who are using JMP, a knowledge of JMP is not required, and little or no prior statistical knowledge is necessary. By working through the introductory chapters and the case studies, you gain a deeper understanding of PLS and learn how to use JMP to perform PLS analyses in real-world situations.