This book explores four real-world topics through the lens of probability theory. It can be used to supplement a standard text in probability or statistics. Most elementary textbooks present the basic theory and then illustrate the ideas with some neatly packaged examples. Here the authors assume that the reader has seen, or is learning, the basic theory from another book and concentrate in some depth on the following topics: streaks, the stock market, lotteries, and fingerprints. This extended format allows the authors to present multiple approaches to problems and to pursue promising side discussions in ways that would not be possible in a book constrained to cover a fixed set of topics. To keep the main narrative accessible, the authors have placed the more technical mathematical details in appendices. The appendices can be understood by someone who has taken one or two semesters of calculus.

Men Talk draws on rich conversational material from a wide range of contexts to illuminate our understanding of men and masculinities at the turn of the millennium. Draws on rich conversational material to illuminate our understanding of men and masculinities at the turn of the millennium. Collects data from a wide range of conversations, including garage mechanics on a break, carpenters at the pub after work, and university academics chatting after hours. Focuses on stories, which occur within all-male conversations. Makes a distinctive contribution to our understanding of the intersection of language and masculinity.

Pirates! Here are tales of the seven seas (and beyond) by some of the greats of nautical fiction. From classics like "Treasure Island" and "The Ghost Pirates, to pulp tales by Robert E. Howard and J. Allan Dunn to modern swashbucklers set in fantasy worlds, "The Pirate Story Megapack" is a thrill-a-minute compilation of more than 3,100 pages of great pirate tales, both historical and set in fantasy world. And not all pirates sail the seas... Included are: THE GOLDEN DOLPHIN, by J. Allan Dunn A SET OF ROGUES, by Frank Barrett THE OFFSHORE PIRATE, by F. Scott Fitzgerald A BRUSH WITH THE CHINESE, by G.A. Henty THE MERCHANTMAN AND THE PIRATE, by Charles Reade THE TREASURE OF THE SEAS, by James De Mille THE PIRATE WOMAN, by Captain Dingle THE MAROONER, by J. Allan Dunn TREASURE ISLAND, by Robert Louis Stevenson OUR PIRATE HOARD, by Thomas A. Janvier THE PIRATE, by Frederick Marryat THE ROVER’S SECRET, by Harry Collingwood THE MADMAN AND THE PIRATE, by R.M. Ballantyne WOLVES OF THE SEA, by Randall Parrish THE IRON PIRATE, by Max Pemberton FORCED LUCK, by J. Allan Dunn THE PIRATE SHARK, by Elliott Whitney THE FROZEN PIRATE, by W. Clark Russell THE PIRATE ISLAND, by Harry Collingwood THE GHOST OF CAPTAIN BRAND, by Howard Pyle BLACK VULMEA’S VENGEANCE, by Robert E. Howard THE GHOST PIRATES, by William Hope Hodgson THE PIRATES OF CALUUR, by John Gregory Betancourt THE BROTHERS LAMMIAT, by John Gregory Betancourt SEA-CHILD, by Cynthia Ward And if you enjoy this volume, don't forget to search your favorite ebook store for "Wildside Press Megapack" to see all the other entries in this great series, covering science fiction, fantasy, horror, mysteries, westerns, classics -- and much, much more!

Dealing with the most translated work of German literature, the Tales of the brothers Grimm (1812-1815), this book discusses their history, notably in relation to Denmark and subsequently other nations from 1816 to 1986. The Danish intelligentsia responded enthusiastically to the tales and some were immediately translated into Danish by a nobleman and by the foremost Romantic poet. Their renditions remained in print for a century and embued the tales with high prestige. This book discusses translators, approaches, and other parameters such as copyright, and changes in target audiences. The tales’ social acceptability inspired Hans Christian Andersen to write his celebrated fairytales. Combined, the Grimm and Andersen tales came to constitute the ‘international fairytale’.This genre was born in processes of translation and, today, it is rooted more firmly in the world of translation than in national literatures. This book thus addresses issues of interest to literary, cross-cultural studies and translation.

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques. Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested. The exercises in the book have been added to to the free and open online homework system myopenmath (https://www.myopenmath.com/) which may be useful to instructors.

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.

Make the teaching of Maths a more exciting and creative cross-curricular experience! This new series provides original and fun stories, sketches and poems to use as the basis for teaching objectives from the Mathematics Programme of Study. The stories are supported by differentiated lesson plans and original resources such as card games and suggestions for kinaesthetic activities. Ages 9-11 stories include: Sneaky Circles, Hank Bullman rides into Certain City, Space Chase, Mediaevel Mode, Metric Measures Poem, Ratio Poem. The stories have been road-tested in schools and the children thoroughly enjoyed them!