Best Probability & Statistics

Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentives—how people get what they want, or need, especially when other people want or need the same thing. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, and—if the right questions are asked—is even more intriguing than we think. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven “Freakonomics” columns written for the New York Times Magazine, published between August 2005 and April 2006. “Levitt dissects complex real-world phenomena, e.g. baby-naming patterns and Sumo wrestling, with an economist’s laser.” (San Diego Union-Tribune). This is bracing fun of the highest order.” (Kurt Andersen, host of public radio's Studio 360 and author of Turn of the Century). “Freakonomics challenges conventional wisdom and makes for fun reading.” (Book Sense Picks and Notables). Steven D. Levitt, a professor of economics at the University of Chicago, was awarded the John Bates Clark Medal, given to the most influential American economist under forty. Stephen J. Dubner, an award-winning journalist and radio and TV personality, has worked for the New York Times and published three non- Freakonomics books.

The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn" Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, A Mind for Numbers offers the tools you need to get a better grasp of that intimidating material. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life. How do you come to love math and science, and how do you come to learn math and science? Barbara Oakley is the magician who will help you do both.” —Francisco J. Ayala, University Professor and Donald Bren Professor of Biological Sciences, University of California, Irvine, and former President and Chairman of the Board, American Association for the Advancement of Science. But now that learners have a handy guide for ‘knowing better’ they will also be able to ‘do better.’” —Shirley Malcom, Head of Education and Human Resources Programs, American Association for the Advancement of Science “ A Mind for Numbers is an excellent book about how to approach mathematics, science, or any realm where problem solving plays a prominent role.” —J. Given the urgent need for America to improve its science and math education so it can stay competitive, A Mind for Numbers is a welcome find.” —Geoffrey Canada, President, Harlem Children's Zone "It's easy to say 'work smarter, not harder,' but Barbara Oakley actually shows you how to do just that, in a fast-paced and accessible book that collects tips based on experience and sound science. —Glenn Harlan Reynolds, Beauchamp Brogan Distinguished Professor of Law, The University of Tennessee “ A Mind for Numbers is a splendid resource for how to approach mathematics learning and in fact learning in any area. This is a must-read for anyone who has struggled with mathematics and anyone interested in enhancing their learning experience.” —David C. Geary, Curators’ Professor of Psychological Sciences and Interdisciplinary Neuroscience, University o f Missouri. “For students afraid of math and science and for those who love the subjects, this engaging book provides guidance in establishing study habits that take advantage of how the brain works.” —Deborah Schifter, Principal Research Scientist, Science and Mathematics Programs, Education Development Center, Inc.

One of Wall Street Journal 's. Best Ten Works of Nonfiction in 2012 New York Times Bestseller “Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be one of the more momentous books of the decade .”. — New York Times Book Review "Nate Silver's The Signal and the Noise is The Soul of a New Machine for the 21st century ." Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read. Baseball, weather forecasting, earthquake prediction, economics, and polling: In all of these areas, Silver finds predictions gone bad thanks to biases, vested interests, and overconfidence.

Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. Accessible, including the basics of essential concepts of probability and random sampling Examples with R programming language and JAGS software Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis) Coverage of experiment planning R and JAGS computer programming code on website Exercises have explicit purposes and guidelines for accomplishment Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs. "Both textbook and practical guide, this work is an accessible account of Bayesian data analysis starting from the basics…This edition is truly an expanded work and includes all new programs in JAGS and Stan designed to be easier to use than the scripts of the first edition, including when running the programs on your own data sets." “has the potential to change the way most cognitive scientists and experimental psychologists approach the planning and analysis of their experiments" Prof. Geoffrey Iverson, U. of Cal., Irvine; past pres. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard.

The text covers topics on differential equations such as first-order ordinary differential equations, higher order differential equations, power series solutions of ordinary differential equations, the Laplace Transform, systems of ordinary differential equations, and Fourier Series and applications to partial differential equations. I am tempted to make this. the sole, required text for that course". March 2003 Integrates new applications from a variety of fields, especially biology, physics, and engineering, and is a perfect introduction for Mathematica beginners.

The new edition offers a contemporary design, an increased number of practice exercises, and content changes based on reviewer feedback, giving this classic text a modern appeal. Marsden, California Institute of Technology, Pasadena.

Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentives—how people get what they want, or need, especially when other people want or need the same thing. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, and—if the right questions are asked—is even more intriguing than we think. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven “Freakonomics” columns written for the New York Times Magazine, published between August 2005 and April 2006. “Levitt dissects complex real-world phenomena, e.g. baby-naming patterns and Sumo wrestling, with an economist’s laser.” (San Diego Union-Tribune). This is bracing fun of the highest order.” (Kurt Andersen, host of public radio's Studio 360 and author of Turn of the Century). “Freakonomics challenges conventional wisdom and makes for fun reading.” (Book Sense Picks and Notables). Steven D. Levitt, a professor of economics at the University of Chicago, was awarded the John Bates Clark Medal, given to the most influential American economist under forty. Stephen J. Dubner, an award-winning journalist and radio and TV personality, has worked for the New York Times and published three non- Freakonomics books.

If You Are New To Python Programming And Want To Start From A Solid Foundation.. 'Python Programming: A Complete Guide For Beginners To Master And Become An Expert In Python Programming Language' is a complete guide, covering all the basic concepts and takes you to the expert level with simple to understand, follow and learn examples and explanations. ------------------. Tags: Python, Python programing, Python exercise, Python reference, Python, Python course, Python book, Python Kindle, Python Beginners, learning Python, Python language, Python examples, Python tutorials, Python programming language, Python coding, Python programming for beginners, Python for Dummies, python machine learning, python beginners guide.

Aimed at "the mathematically traumatized," this text offers nontechnical coverage of graph theory, with exercises.

In this powerful and dramatic biography Sylvia Nasar vividly recreates the life of a mathematical genius whose career was cut short by schizophrenia and who, after three decades of devastating mental illness, miraculously recovered and was honored with a Nobel Prize. Or the "Phantom of Fine Hall," a figure many students had seen shuffling around the corridors of the math and physics building wearing purple sneakers and writing numerology treatises on the blackboards. Born in West Virginia, the flamboyant mathematical wizard rubbed elbows at Princeton and MIT with Einstein, John von Neumann and Norbert Wiener. He compartmentalized his secret personal life, shows Nasar, hiding his homosexual affairs with colleagues from his mistress, a nurse who bore him a son out of wedlock, while he also courted Alicia Larde, an MIT physics student whom he married in 1957. Nasar, an economics correspondent for the New York Times, is equally adept at probing the puzzle of schizophrenia and giving a nontechnical context for Nash's mathematical and scientific ideas.