Clear explanations are detailed with many current examples.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Each sketch contains Questions and Projects to help you learn more about its topic and to see how its main ideas fit into the bigger picture of history. The 25 short stories are preceded by a 56-page bird's-eye overview of the entire panorama of mathematical history, a whirlwind tour of the most important people, events, and trends that shaped the mathematics we know today. Reading suggestions after each sketch provide starting points for readers who want to pursue a topic further."

    Ben was the one to discover her body in a shallow grave by the river’s edge on the first anniversary of her disappearance. On that day, he made a promise to Ellen that he would do whatever it took to find the monster who kidnapped and strangled her.Several years later, the police believe Ellen was the victim of a serial killer known as the Demon, but Ben isn’t convinced. As a math whiz, Ben is able to see patterns that don’t match. And when he researches other similar unsolved murders, he’s convinced the killer is still out there stalking more young girls. Though Detective Sam Shanks, the lead cop on the case, thinks Ben’s obsession has gone too far and warns him to back off, he refuses to give up. But when Ro Majors, the most popular girl in school, offers to help him, Ben not only finds an ally in the beautiful cheerleader he’s quickly falling hard for, but he also learns they share a bizarre coincidence that brings them closer together.As their search leads to the grisly discovery of the corpse of Katie Doogan, Ben becomes more desperate than ever to find this cunning, methodical killer before he strikes again.Find out what happens in Killing Season, Part 2, as the danger intensifies when Ben and Ro travel to California in their search to uncover a serial killer's identity.

    This work focuses on the maths skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as arithmetic, algebra, geometry and data sufficiency.

    Released as one of a limited number of digital shorts released to celebrate the publication of Jeffrey Archer’s magnificent seventh short-story collection, Tell Tale. Taken from Cat O’ Nine Tales, Jeffrey Archer's fifth collection of short stories, Don’t Drink the Water is a captivating, witty and ingenious short read.Richard Barnsley is in St Petersburg to close a pipeline deal that will make him rich beyond his wildest dreams. Having spent years bribing the Energy Minister, Anatol Chenkov, the deal should go through smoothly. However, the president of Russia wants preside over the signing ceremony which means he needs to finalise the contract in a matter of weeks. But then Richard’s home life unravels when he finds a letter from a divorce lawyer intended for his wife. He suspects she is waiting for the deal to be signed before divorcing him, which leads Richard to take drastic action . . .

    This revised edition includes a CD-Rom with exercises that will help the student have a better understanding of equations, formulas, etc.

    This guide provides explanations of eigenvalues, eigenvectors, linear transformations, linear equations, vectors, and matrices.

    This edition also features the developments in Operations Research, such as metaheuristics, simulation, and spreadsheet modeling.

    

    Weygandt, Paul D. Kimmel, and Donald E. Kieso, which incorporates International Financial Reporting Standards (IFRS) into the existing textbook framework. On almost every page, the book addresses every accounting topic from the perspective of IFRS while still highlighting key differences between IFRS and US GAAP. Following the reputation for accuracy, comprehensiveness, and currency, the authors have painstakingly created a book dedicated to assisting students learning accounting topics under the rules of IFRS.

    Robert Gibbons addresses scholars in applied fields within economics who want a serious and thorough discussion of game theory but who may have found other works overly abstract. Gibbons emphasizes the economic applications of the theory at least as much as the pure theory itself; formal arguments about abstract games play a minor role. The applications illustrate the process of model building--of translating an informal description of a multi-person decision situation into a formal game-theoretic problem to be analyzed. Also, the variety of applications shows that similar issues arise in different areas of economics, and that the same game-theoretic tools can be applied in each setting. In order to emphasize the broad potential scope of the theory, conventional applications from industrial organization have been largely replaced by applications from labor, macro, and other applied fields in economics. The book covers four classes of games, and four corresponding notions of equilibrium: static games of complete information and Nash equilibrium, dynamic games of complete information and subgame-perfect Nash equilibrium, static games of incomplete information and Bayesian Nash equilibrium, and dynamic games of incomplete information and perfect Bayesian equilibrium.

    Arrested as an accomplice to the crime, Gibson must work fast to find out what really happened and clear his name before his still-living friend pays the ultimate price.

    This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results.The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.-- "Journal of Economics"