In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jorn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications

    The presentation of consolidation material and the use of excerpts from popular business press and references to real world companies and governmental and non-profit institutions are used to illustrate key concepts and maintain a strong student orientation.

    In response to the dynamic environment of management, Richard Daft has written a text integrating the newest management thinking with a solid foundation in the essentials of management.

    New to this edition is coverage of: Improved techniques for evaluating survey questions The latest options available to researchers in using the computer and the internet for surveys Recent methodological findings to enhance survey research With an emphasis on the importance of minimizing nonsampling errors through superior question design, quality interviewing, and high response rates, this book helps readers understand the relationship of data collection to figures and statistics based on the survey-and how much confidence to place in the reported results based on this relationship.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    It is designed as a reference for students in the physical sciences and engineering.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    Requiring essentially no background apart from mathematical maturity, the book can be used as a reference for self-study for anyone interested in complexity, including physicists, mathematicians, and other scientists, as well as a textbook for a variety of courses and seminars. More than 300 exercises are included with a selected hint set.

    Intermediate Accounting integrates this new information throughout the chapters so they'll learn how to apply the new global accounting standards. Global examples are presented to clearly show how the information is utilised in the field. The use of various currencies is also explored, which is critical for accountants to know in today's global businesses environment.

    Fully updated and revised to deal with recent changes to the GMAT, they were designed with a content-based approach.The Critical Reasoning Guide demystifies critical reasoning by teaching a clear, consistent, and effective approach to understanding an argument’s logic and choosing the best answer to the given question. Unlike other guides that attempt to convey everything in a single tome, the Critical Reasoning Strategy Guide is designed to provide deep, focused coverage of one specialized area tested on the GMAT. As a result, students benefit from thorough and comprehensive subject material, clear explanations of fundamental principles, and step-by-step instructions of important techniques. In-action practice problems and detailed answer explanations challenge the student, while topical sets of Official Guide problems provide the opportunity for further growth. Used by itself or with other Manhattan GMAT Strategy Guides, the Critical Reasoning Guide will help students develop all the knowledge, skills, and strategic thinking necessary for success on the GMAT. Purchase of this book includes one year of access to Manhattan GMAT’s online computer-adaptive practice exams and Critical Reasoning Question Bank. All of Manhattan Prep’s GMAT Strategy Guides are aligned with both the 2015 Edition and 13th Edition GMAC Official Guide.

    He could run, throw, field and he had a sweet swing. But during his twelve years in the major leagues, Pepi devoted most of his energy to swinging off the field. He blew his career, he destroyed two marriages, he lost three children and he came very close to a nervous breakdown. At age 33 he gave up a $70,000 contract in Japan and quit baseball for good. He finally admitted that most of his life he had been living a lie, acting the carefree clown to cover up his inner pain. It was time to close the act. In Joe, You Coulda Made Us Proud, Pepitone attempts to show what was behind his berserk behavior. He does so in the most devastatingly honest terms, holding back none of the embarrassment, the anguish, the guilt he kept accumulating. He tells of the father he loved so much, "Willie Pep" Pepitone, the toughest man in a tough Brooklyn neighborhood. Obsessed with making his son a baseball star, Willie constantly beat hell out of Joe. One night, enraged at his father, Joe said,"Mom- I wish he'd die!" The next day Willie died. He tells how he demolished two marriages by trying to ball American, of how he was haunted by the words of his first child - "Daddy, don't leave me" - and of the nights when the guilt left him impotent. Despite the travail, though, there is much humor in Joe's story. Such as the time he was staying at Frank Sinatra's home, and Joe has a $350 pool shot line up. Just as he shot, Sinatra knocked the ball away. "All right, Frank... I won the money." Sinatra, grinning, said, "Joe, this is my game, this is my table - and we are playing my rules." Usually Joe Pepitone played only by his rules, and those rules maimed him. Yet his regrets are not for what he did to himself... "You do what you have to do, and you pay the price - but you pay it double when you see how it has hurt others you love." - from book's dustjacket

    The complexity of nature's shapes differs in kind, not merely degree, from that of the shapes of ordinary geometry, the geometry of fractal shapes.Now that the field has expanded greatly with many active researchers, Mandelbrot presents the definitive overview of the origins of his ideas and their new applications. The Fractal Geometry of Nature is based on his highly acclaimed earlier work, but has much broader and deeper coverage and more extensive illustrations.

    To millions of football fans across America, he was the “Voice of the NFL.” And as open and giving as Harry Kalas was throughout his professional and personal life, there are countless layers of the man that have remained unknown . . . until now. Author Randy Miller interviewed more than 160 people—including all of Harry’s surviving family, many of his close friends from childhood to present, numerous colleagues from baseball and the NFL, and even Harry’s longtime personal psychologist—to craft a loving and shockingly honest portrayal of one of the most celebrated broadcasters in the history of sports. With incredible details from all phases of his life—from his upbringing in the Chicago suburbs, to his Hall of Fame broadcasting career in baseball, to his ubiquitous voiceover work with the NFL, to his personal vices for drinking and women, to his legendary friendship with Richie “Whitey” Ashburn, to his ongoing feud with on-air partner Chris Wheeler— Harry the K: The Remarkable Life of Harry Kalas will surprise, delight, and enlighten all fans of the man they called “Harry the K.”

    The applications and computations in operations research are emphasized. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

    In this book, a wealth of exercises are provided throughout each section, designed to reinforce learning and the logical comprehension of topics. The use of real data is incorporated much more extensively than in any other book on the market. Consist of strong coverage of computer-based methods, especially in the coverage of analysis of variance and regression. This text stresses mastery of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet gives complete explanations of all important concepts. Every new concept is systematically developed through completely worked-out examples from current medical research problems. Computer output is used to illustrate concepts when appropriate.