When Emmett Spears is gunned down by four killers in cold blood in a saloon in Harper, Colorado, his best friend makes a promise at Emmett's burial to get revenge. Sarah Talbert loves Wade and begs him not to go, but Wade made a promise he has to keep. Armed with a pistol, and a Sharps .50 caliber rifle, he sets out to find the four men. The journey takes him, two aging sheriffs and an Indian across Colorado, New Mexico, Arizona and into Mexico following a trail of violence and death that Wade may never recover from.

    Funny jokes, Knock Knock jokes, Kids Jokes.Jokes for Kids, Best Joke Book for Kids is styled for as kids grow older they find certain jokes less and less funny. This means you have to come up with age appropriate jokes to keep them entertained. Jokes are more than just for laughs. They also stimulate thought and educate. That does not mean you go stiff on the kids, far from it. You want jokes that are funny, corny and have some substance. Usually the really good jokes will give even you the tickles.Kids jokes, with over 200 funny jokes, this will keep the kids, and adult laughing for some time.

    Sam and Mason were best friends, and it was on a ski trip together in the Sierra Nevada Mountains that the unthinkable happened. A chance encounter with a creep in a bar set events into motion, and when it was over, Sam was gone. In the aftermath, Mason could never shake the feeling that he was responsible. The guilt nearly killed him. Years later Mason has turned his life around, the heartbreak and destructive living rooted in that long-ago night finally behind him. But the past remains, and when Mason’s girlfriend resurrects Sam’s case, it sets them both on a terrifying course of no return. The investigation leads to Bridgeport, California, in the Eastern Sierra. From there, an epic showdown awaits at the infamous ghost town in Bodie. The old mining camp holds many secrets, and as Mason draws closer to a horrible truth, he will need all his cunning and courage to face down Sam’s killer.

    

    Driven from home to be dumped in the workhouse, Charlie has had to fight for survival and has vowed to never forgive those who hurt her.Paul Vermont is a godly man who falls in love with Charlie from the moment he first sets eyes on her. The textiles in the factory are nothing but rags compared to her beauty, but bitterness in her heart is evident in the way she treats everyone around her. Paul has strong faith and refuses to believe that Charlie cannot change.He sets out to help her deal with her past—and that means returning to where it all began.The brave Christmas journey she takes then changes everything for them both.If you enjoy heartfelt Victorian romance you will love this beautiful Christmas tale. Read it today.

    Widely praised and much-discussed, this classic book explores how cooperation can emerge in a world of self-seeking egoists—whether superpowers, businesses, or individuals—when there is no central authority to police their actions. The problem of cooperation is central to many different fields. Robert Axelrod recounts the famous computer tournaments in which the “cooperative” program Tit for Tat recorded its stunning victories, explains its application to a broad spectrum of subjects, and suggests how readers can both apply cooperative principles to their own lives and teach cooperative principles to others.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    It now has 600,000 to a million page hits daily. Every now and then, Munroe would get emails asking him to arbitrate a science debate. 'My friend and I were arguing about what would happen if a bullet got struck by lightning, and we agreed that you should resolve it . . . ' He liked these questions so much that he started up What If. If your cells suddenly lost the power to divide, how long would you survive? How dangerous is it, really, to be in a swimming pool in a thunderstorm? If we hooked turbines to people exercising in gyms, how much power could we produce? What if everyone only had one soulmate?When (if ever) did the sun go down on the British empire? How fast can you hit a speed bump while driving and live?What would happen if the moon went away?In pursuit of answers, Munroe runs computer simulations, pores over stacks of declassified military research memos, solves differential equations, and consults with nuclear reactor operators. His responses are masterpieces of clarity and hilarity, studded with memorable cartoons and infographics. They often predict the complete annihilation of humankind, or at least a really big explosion. Far more than a book for geeks, WHAT IF: Serious Scientific Answers to Absurd Hypothetical Questions explains the laws of science in operation in a way that every intelligent reader will enjoy and feel much the smarter for having read.

    When they sing “the wipers on the bus go swish-swish-swish,” children can move their hands from side to side like windshield wipers! Each character cleverly illustrates how to move hands and arms to simulate the actions throughout the book. What makes this book so much fun is that the children will be singing, learning, and moving with their favorite Baby Genius characters!

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    It demonstrates how to encourage, develop, and foster the processes which seem to come naturally to mathematicians.

    The science of complexity studies how single elements, such as a species or a stock, spontaneously organize into complicated structures like ecosystems and economies; stars become galaxies, and snowflakes avalanches almost as if these systems were obeying a hidden yearning for order. Drawing from diverse fields, scientific luminaries such as Nobel Laureates Murray Gell-Mann and Kenneth Arrow are studying complexity at a think tank called The Santa Fe Institute. The revolutionary new discoveries researchers have made there could change the face of every science from biology to cosmology to economics. M. Mitchell Waldrop's groundbreaking bestseller takes readers into the hearts and minds of these scientists to tell the story behind this scientific revolution as it unfolds.

    In HOW TO WIN GAMES AND BEAT PEOPLE, science editor for The Times Tom Whipple gathers inside tips, strategy, and advice from a ridiculously overqualified array of experts on how to come out victorious in a wide range of common family games, board games, and more. A mathematician explains how to approach Connect 4; a racecar driver advises on how to take corners in slot car racing; a mime shares trade secrets for the best Charades; a scrabble champion reveals his strategies; and a game theorist recommends the right Monopoly properties to buy in order to bankrupt and embarrass your competitors.Funny, smart, and endlessly useful, this is a must read for anyone who takes games too seriously, and the bible for sore losers everywhere.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    The difference between micro and macro economics is simple. Microeconomics is the study of economics at an individual, group or company level. Macroeconomics, on the other hand, is the study of a national economy as a whole. Microeconomics focuses on issues that affect individuals and companies.