Character Is Not a Statistic


Book Description

Bill Lajoie just had it. When it came to drafting ballplayers and building a World Series club, few in baseball history can match his extraordinary success. The lessons of Lajoie's illustrious career and the brilliance of his philosophy are put to print in Character is Not a Statistic. After a playing career that fell achingly short of the major leagues, Lajoie returned to Detroit to become a teacher in the mid-1960s. But his unyielding passion for baseball and desire to atone for a broken dream pulled him back to the game as a scout. From there, he'd go on to build World Series Championships from scratch by finding players who possessed the very character he lacked as a young athlete. Starting as an area scout for the Cincinnati Reds in 1965, Lajoie later moved up the ladder with the Detroit Tigers and was the architect and general manager of their 1984 World Series crowning. Lajoie would then be instrumental as an assistant GM for two more franchises who dominated their decades with championships and titles; the 1990s Atlanta Braves and the 2000s Boston Red Sox. Perhaps no one alive has scouted more baseball over the last 50 years or has better stories to tell about finding the greats. Though the modern era has seen the depersonalization of scouting via statistics and radar gun readings, Lajoie was immensely successful through five decades by emphasizing what a player had inside him. His belief in a player's humanity and character persists to this day. This book is not only a biography, but a collection of great baseball stories and a manual for the next generation of fans and scouts alike. Lajoie tackles such controversial issues as the Moneyball movement, the importance of a strong manager, scouting for makeup, making trades, preventing pitching injuries, running a farm system, and ranking both the best general managers and scouting directors of the modern era.




Learning Statistics with R


Book Description

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com




Statistics in Psychology Using R and SPSS


Book Description

Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.




Statistical Inference as Severe Testing


Book Description

Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.




The Book of R


Book Description

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.




Contributions to Statistics


Book Description

Contributions to Statistics focuses on the processes, methodologies, and approaches involved in statistics. The book is presented to Professor P. C. Mahalanobis on the occasion of his 70th birthday. The selection first offers information on the recovery of ancillary information and combinatorial properties of partially balanced designs and association schemes. Discussions focus on combinatorial applications of the algebra of association matrices, sample size analogy, association matrices and the algebra of association schemes, and conceptual statistical experiments. The book then examines lattice sampling by means of Lahiri's sampling scheme; contributions of interpenetrating networks of samples; and apparently unconnected problems encountered in sampling work. The publication takes a look at screening processes, place of the design of experiments in the logic of scientific inference, and rarefaction. Topics include mathematical probability, scientific experience, combinatorial progress, gains and losses, criterion and scores, simple drug screening process, and screening of crop varieties. The manuscript then reviews the estimation and interpretation of gross differences and the simple response variance; partially balanced asymmetrical factorial designs; and approximation of distributions of sums of independent summands by infinitely divisible distributions. The selection is a dependable reference for statisticians and researchers interested in the processes, methodologies, and approaches employed in statistics.




A'Kyria


Book Description

This is A'Kyria.... Somewhere out in space lies the edge of the universe; a point where there is no more void, but an anti-void...or a full space. It is a wall of matter so wide, so far reaching that the beings of a thousand planets cannot trace the end of it. It is where dark matter ends and white matter begins. The end of the universe, it seems, is just the beginning of a world so vast that physics must discover new laws to explain it. The surface is merely the edge of where one stage of the universe transitions into the next. The mysterious white matter has mass but is not effected by or generates gravity. Other mass centers create gravity; they can exist anywhere and in any combination. In this Universe the types of lands are as diverse as the imagination can create. Suns orbit some lands to create rings of life along the endless surface. Our forbears who believed that the sun orbited the planet would find their beliefs valid. Life might exist in a figure 8 set of rings around cavern entrances, radiating areas from tropical to glacial. Moons or planetoids could spin around their own centers creating kaleidoscopes of orbiting bodies. In other areas, suns might exist below the surface creating cavernous lands that cover the surface like lichen; a Dyson sphere with the star positioned in the center and life on the walls. In A'Kyria, the lands do not need to be traditional or follow the methods we deem normal to create places of splendor. Some lands might not need a star at all, but maybe a moon heated by a sun when exiting a cavern and brings the heat down with it as it travels. Imagine a weaker, dimmer star that travels through a channel with all the life existing upon the surface of the cavern. The sun sets when it rises above the surface, leaving the cavern in darkness. There are lands in permanent twilight from suns that barely rise above the surface, as well as, others that remain fixed giving constant daylight and burned lands where the suns are too close together. There are frozen wastes and oceans that stretch to the edges of forever; lands of strange beliefs, alien, bizarre or comforting in its familiarity. It is a land of infinite possibilities, where magic and technology, peasant and space ranger can meet just as easily as neighbors taking out the trash. It is a world where the only limits are the limits you place on yourself. Welcome to A'Kyria.




Using R for Introductory Statistics


Book Description

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.




Polyverse Supers


Book Description

Fast paced Superhero Gaming! Polyverse Supers allows a GM to create campaigns with colorful npcs, heroes and villains. Included are rules for creation of bases and vehicles as well as random character creation. Super Hero Roleplaying!Make the superhero YOU want!70 customizable powers!Adders and Subtractors make powers unique!Over 100 Problems to make characters stand out!Create bases and vehicles!Random character creation rules!Point based system!




D10 Core Roleplaying System


Book Description

The d10 Core Roleplaying System allows you to run any kind of game you want, simple, fast, and easy. This book is the 150-page core rulebook: it contains all of the core rules, charts and tables, gameplay and character examples, and gameplay examples that you need to be up and running a pen and paper roleplaying game quickly and easily. Whereas other roleplaying systems have complex rules, complex mechanics, and strange dice requirements, the d10 Core system simplifies all of that and leaves you with what you need: a strong and stable core ruleset that is fast to learn and implement, a single die ruleset where all you need is a single d10 die, and straightforward mechanics that are streamlined and uniform throughout the system, keeping book referencing to a minimum. Focus on the fun of roleplaying, the companionship of a few close friends, and a game system that can be applied to any genre and any setting, regardless of time period, equipment, magic, fantasy, science fiction, or standard modern, medieval, pre-modern, or ancient time periods. In addition to the core rulebook, you have access to the Late Nite Books website which has resources, discussion forums, and downloads that expand upon the core rules. When you purchase a copy of the d10 Core Roleplaying System, you are opening the door to a world of adventure and intrigue that won't soon be shut!