Tell Me The Odds: A 15 Page Introduction To Bayes Theorem


Scott Hartshorn - 2017
    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

Alexander, Who Used to Be Rich Last Sunday


Judith Viorst - 1978
    There were so many things that he could do with all of that money! He could buy as much gum as he wanted, or even a walkie-talkie, if he saved enough. But somehow the money began to disappear... Readers of all ages will be delighted by this attractive new edition of Judith Viorst's beloved picture book.

Edgar Allan Poe's Pie: Math Puzzlers in Classic Poems


J. Patrick Lewis - 2012
    The poet J. Patrick Lewishas reimagined classic poems—such as Edgar Allan Poe’s “The Raven” and LangstonHughes’s “April Rain Song”—and added a dash of math. Between the silly parodiesand the wonderfully wacky art, kids will have so much fun figuring out the puzzles,they won’t guess they’re learning! Answers appear unobtrusively on each page, andengaging information about the original poets is included. Math games and concepts,poetry and poet biographies—it’s all so cleverly put together. This funny book is atreat for fans of words and numbers alike.

Thinking Statistically


Uri Bram - 2011
    Along the way we’ll learn how selection bias can explain why your boss doesn’t know he sucks (even when everyone else does); how to use Bayes’ Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.

A Place for Zero


Angeline Sparagna Lopresti - 1995
    He can't play Addemup with the other numbers, because he has nothing to add. What's a digit to do? Join Zero as he goes on a journey to discover his place.

Elements Of Discrete Mathematics: Solutions Manual


Chung Laung Liu - 1999
    

Advanced Differential Equations


M.D. Raisinghania - 1995
    

Equal Shmequal


Virginia L. Kroll - 2005
    Nothing works until Mouse starts thinking mathematically. Wonderful illustrations capture Mouse and her animal friends from whiskers to tails.

What's Your Angle, Pythagoras? A Math Adventure


Julie Ellis - 2004
    In ancient Greece, young Pythagoras discovers a special number pattern (the Pythagorean theorem) and uses it to solve problems involving right triangles.Book Details: Format: Paperback Publication Date: 4/1/2004 Pages: 32 Reading Level: Age 8 and Up

Pure Mathematics 1: Advanced Level Mathematics


Hugh Neill - 2002
    Pure Mathematics 1 corresponds to unit P1. It covers quadratics, functions, coordinate geometry, circular measure, trigonometry, vectors, series, differentiation and integration.

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science


Bradley Efron - 2016
    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

A Remainder of One


Elinor J. Pinczes - 1985
    Queen's count! Two, three! We are the marching infantry! Poor Joe! He wants to march in the parade, but every time the lines are uneven, he must stand aside. What's a poor bug to do? Joe is determined. He studies the problem, relining the twenty-five bugs in his squadron from two lines to three lines to four lines, until inspiration and fortitude result in five lines of five -- and Joe fits in the last.

What Time Is It, Mr. Crocodile?


Judy Sierra - 2007
    Crocodile has big plans for finally catching--and eating--five pesky monkeys, but those little rascals dupe him again and again. By the time the clock strikes six, those mischievous monkeys actually teach Mr. Crocodile a thing or two about friendship . . . and about having fun!

A Mathematical Introduction to Logic


Herbert B. Enderton - 1972
    The author has made this edition more accessible to better meet the needs of today's undergraduate mathematics and philosophy students. It is intended for the reader who has not studied logic previously, but who has some experience in mathematical reasoning. Material is presented on computer science issues such as computational complexity and database queries, with additional coverage of introductory material such as sets.