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Foundations of Linear and Generalized Linear Models by Alan Agresti


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The Monty Hall Problem: The Remarkable Story of Math's Most Contentious Brain Teaser


Jason Rosenhouse - 2009
    Imagine that you face three doors, behind one of which is a prize. You choose one but do not open it. The host--call him Monty Hall--opens a different door, alwayschoosing one he knows to be empty. Left with two doors, will you do better by sticking with your first choice, or by switching to the other remaining door? In this light-hearted yet ultimately serious book, Jason Rosenhouse explores the history of this fascinating puzzle. Using a minimum ofmathematics (and none at all for much of the book), he shows how the problem has fascinated philosophers, psychologists, and many others, and examines the many variations that have appeared over the years. As Rosenhouse demonstrates, the Monty Hall Problem illuminates fundamental mathematical issuesand has abiding philosophical implications. Perhaps most important, he writes, the problem opens a window on our cognitive difficulties in reasoning about uncertainty.

All the Math You'll Ever Need: A Self-Teaching Guide


Stephen L. Slavin - 1989
    In adollars-and-cents, bottom-line world, where numbers influenceeverything, none of us can afford to let our math skills atrophy.This step-by-step personal math trainer:Refreshes practical math skills for your personal andprofessional needs, with examples based on everyday situations. Offers straightforward techniques for working with decimals and fractions. Demonstrates simple ways to figure discounts, calculatemortgage interest rates, and work out time, rate, and distance problems. Contains no complex formulas and no unnecessary technical terms.

Real Analysis


H.L. Royden - 1963
    Dealing with measure theory and Lebesque integration, this is an introductory graduate text.

Student Solutions Guide For Discrete Mathematics And Its Applications


Kenneth H. Rosen - 1988
    These themes include mathematical reasoning, combinatorial analysis, discrete structures, algorithmic thinking, and enhanced problem-solving skills through modeling. Its intent is to demonstrate the relevance and practicality of discrete mathematics to all students. The Fifth Edition includes a more thorough and linear presentation of logic, proof types and proof writing, and mathematical reasoning. This enhanced coverage will provide students with a solid understanding of the material as it relates to their immediate field of study and other relevant subjects. The inclusion of applications and examples to key topics has been significantly addressed to add clarity to every subject. True to the Fourth Edition, the text-specific web site supplements the subject matter in meaningful ways, offering additional material for students and instructors. Discrete math is an active subject with new discoveries made every year. The continual growth and updates to the web site reflect the active nature of the topics being discussed. The book is appropriate for a one- or two-term introductory discrete mathematics course to be taken by students in a wide variety of majors, including computer science, mathematics, and engineering. College Algebra is the only explicit prerequisite.

Linear Systems and Signals


B.P. Lathi - 1992
    It gives clear descriptions of linear systems and uses mathematics not only to prove axiomatic theory, but also to enhance physical and intuitive understanding.

Fundamentals of Statistical and Thermal Physics


Frederick Reif - 1965
    The presentation develops physical insight by stressing the microscopic content of the theory.

Introductory Astronomy and Astrophysics


Michael Zeilik - 1987
    It has an algebra and trigonometry prerequisite, but calculus is preferred.

The Complete Idiot's Guide to Statistics


Robert A. Donnelly Jr. - 2004
    Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more.-Emphasizes Microsoft Excel for number-crunching and computationsDownload a sample chapter.

The Drunkard's Walk: How Randomness Rules Our Lives


Leonard Mlodinow - 2008
    From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's intriguing and illuminating look at how randomness, chance, and probability affect our daily lives will intrigue, awe, and inspire.

Student Solutions Manual for Contemporary Abstract Algebra


Joseph A. Gallian - 2009
    Contains complete worked solutions to all regular exercises and computer exercises in the text; additional test questions and their solutions; an online laboratory manual for the computer algebra system GAP, with exercises tied to the book and an instructor answer key; and links on the author's website to true/false questions, flash cards, essays, software downloads, and other abstract algebra-related materials.

Matrix Computations


Gene H. Golub - 1983
    It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.

Linear Algebra and Its Applications


Gilbert Strang - 1976
    While the mathematics is there, the effort is not all concentrated on proofs. Strang's emphasis is on understanding. He explains concepts, rather than deduces. This book is written in an informal and personal style and teaches real mathematics. The gears change in Chapter 2 as students reach the introduction of vector spaces. Throughout the book, the theory is motivated and reinforced by genuine applications, allowing pure mathematicians to teach applied mathematics.

Bayes' Rule: A Tutorial Introduction to Bayesian Analysis


James V. Stone - 2013
    Discovered by an 18th century mathematician and preacher, Bayes' rule is a cornerstone of modern probability theory. In this richly illustrated book, intuitive visual representations of real-world examples are used to show how Bayes' rule is actually a form of commonsense reasoning. The tutorial style of writing, combined with a comprehensive glossary, makes this an ideal primer for novices who wish to gain an intuitive understanding of Bayesian analysis. As an aid to understanding, online computer code (in MatLab, Python and R) reproduces key numerical results and diagrams.Stone's book is renowned for its visually engaging style of presentation, which stems from teaching Bayes' rule to psychology students for over 10 years as a university lecturer.

Statistics for Six SIGMA Made Easy


Warren Brussee - 2004
    Yet although the heart of Six Sigma is statistics, most books on Six Sigma give a general overview, with little detail on actually Using the Six Sigma tools. Books that cover Six Sigma statistics typically are 500+ pages and cost near USD100. Basic Statistics for Six Sigma gives the information needed to apply the statistical tools of Six Sigma to real-world problems in a simplified, USD24.95 paperback format, for Greenbelts and Six Sigma Project Team Leaders. A typical company's Greenbelt training in Six Sigma includes 7 books, 4 software packages, and 3 weeks of class work. It is very extensive in statistics. Although this kind of course is excellent, not all companies or individuals want to commit to that level of instruction. Statistics for Six Sigma--Made Easy! describes only the tools used by most successful Six Sigma practitioners. The only software package needed is Excel, and the 14 formulas and 5 tables included in the book enable you to use all the basic Six Sigma statistical tools. Using these tools will enable a person t

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy


Sharon Bertsch McGrayne - 2011
    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.