This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent.In particular, the GAMLSS statistical framework enables flexible regression and smoothing models to be fitted to the data. The GAMLSS model assumes that the response variable has any parametric (continuous, ...

Danny and Elena are now working for the Firm, desperately attempting to track down the vengeance-seeking Black Star before more 'Angels of Death' suicide bombers are despatched. Elena is the key to discovering the bomb-master's whereabouts as she has already made Deep Web contact. The plan is simple - locate Black Star and kill him - at whatever cost.While Fergus is forced to remain in England, confined to a wheelchair as he recovers from his injuries, the hunt takes Danny and Elen...

Who is the traitor among us?WWII, German-occupied Antwerp, and life continues as usual for 16-year-old Paul Hansen – until his father is shot. Paul learns that his parents are part of a group of resistance fighters and he's whisked away by Jos Theys, his father's closest friend, to the home of an elderly couple. There Paul learns he must leave Antwerp as quickly as possible and travel south through France and across the Pyrenees into Spain, and from there to Englan...

After his failed escape to England across the Pyrenees, Paul Hansen is living, once again, in France. While the Germans blitz London and other major cities, Paul is getting more and more restless. Though he's part of the resistance movement, the past six months have been quiet. Then one night, like phantoms, they arrive by parachute: six men from the German Brandenburg Regiment, a special force of elite soldiers. Do they have information about Paul's father, who was mysteriously shot in An...

Who is the traitor among us? WWII, German-occupied Antwerp, and life continues as usual for 16-year-old Paul Hansen – until his father is shot. Paul learns that his parents are part of a group of resistance fighters and he's whisked away by Jos Theys, his father's closest friend, to the home of an elderly couple. There Paul learns he must leave Antwerp as quickly as possible and travel south through France and across the Pyrenees into Spain, and from there to England, and freedom. It is a ...

A lethal new drug with devastating side effects, known as Meltdown, is threatening to destabilize society. Dudley knows that the security services have to act fast, and when his 4 x 4 arrives at their remote hideout in the Canadian lakes, eighteen-year-old Danny and his grandfather, ex-SAS hero Fergus Watts, are once again sucked into a deadly undercover operation and a race against time.Their search for the mastermind behind a pair of murderous gangland twins takes them from the c...

Stephen Fry, Daniel Rigby and Tamsin Greig star in all three series of the poignant BBC Radio 4 comedy drama.Warhorses of Letters is the world's finest and best-loved equine, military, epistolary romance, comprising the newly-discovered love letters between two horses united by passion but cruelly divided by conflict.Set against the sweeping backdrop of the Napoleonic Wars, these twelve episodes introduce us to Copenhagen, the Duke of Wellington's frisky young racehorse, an...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling met...

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.This book looks at both classical and ...

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds...

Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python.Book DescriptionCompl...

This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent de...