R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, "R For Dummies" is the book you need to get the most out of R.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

    Covering all of the fundamentals in a straightforward, student-friendly manner, it is ideal for undergraduate- and graduate-level courses across the social sciences and also serves as an indispensable guide for researchers. Striking a balance between specific techniques and the underlying logic of scientific inquiry, this book provides a lucid treatment of the four major approaches to research: experimentation, survey research, field research, and the use of available data. Richly developed examples of empirical research and an emphasis on the research process enable students to better understand the real-world application of research methods. The authors also offer a unique chapter (13) advocating a multiple-methods strategy.

    Cast.It is 50 pages of reprinted Wikipedia and other public domain online articles.Hephaestus Books represents a new publishing paradigm, allowing disparate content sources to be curated into cohesive, relevant, and informative books. To date, this content has been curated from Wikipedia articles and images under Creative Commons licensing, although as Hephaestus Books continues to increase in scope and dimension, more licensed and public domain content is being added. We believe books such as this represent a new and exciting lexicon in the sharing of human knowledge. This particular book is a collaboration focused on House of Night series.

    Looking at new cultural trends, work and social patterns, technologies and means of communication, Zolar reveals the meanings of dreams about cell phones, computers, cyberspace, beepers and much more. His concise and incisive explanations of such classic dreams as meeting a redheaded stranger, flying without wings and trying to comfort a crying baby are here as well, while obsolete subjects -- like girdles, gleaners and grenadiers -- have been eliminated. To complement each dream category a lucky number has been added for this new edition. With interpretations for more than 20,000 dreams, Zolar's Encyclopedia and Dictionary of Dreams offers you the opportunity to uncover the secrets hidden in your dreams and to act on the wisdom -- or respond to the warnings -- they contain.

    However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

    وجبة دسمة لكل من يهتم بالسلوك النرجسي ويحاول حماية نفسه من آثارهThis book (in Arabic) is a full guide on understanding the manipulation techniques of people with Narcissistic Personality Disorder (NPD) and Dark Triad personalities. Written in simple language by an Arab woman, it provides valuable insights into society traditions contributing to the spread of narcissism and narcissistic abuse, particularly against women. It also offers simple tips to help victims of narcissistic abuse recover and move on.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    Amin examines various aspects of Islamic tradition through a Darwinian framework. Islam's allowance of polygamy and the underlying reasons for the subordination of women in many Muslim societies are among the important issues this book addresses. Amin also offers original insight into many aspects of American society and history. Through the filter of biologically based theories, he explores the reasons behind the monumental changes in sexual mores that have occurred in the United States over the past century, the underpinnings of feminism, and the differences between liberals and conservatives. An astute and entertaining work that compares and contrasts American culture with that of the Muslim world from a perspective inspired by evolutionary psychology, Conflicts of Fitness presents many thought-provoking tools to those in search of greater understanding of these two dynamic cultures and worlds.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory of Games and Economic Behavior. In it, John von Neumann and Oskar Morgenstern conceived a groundbreaking mathematical theory of economic and social organization, based on a theory of games of strategy. Not only would this revolutionize economics, but the entirely new field of scientific inquiry it yielded--game theory--has since been widely used to analyze a host of real-world phenomena from arms races to optimal policy choices of presidential candidates, from vaccination policy to major league baseball salary negotiations. And it is today established throughout both the social sciences and a wide range of other sciences.This sixtieth anniversary edition includes not only the original text but also an introduction by Harold Kuhn, an afterword by Ariel Rubinstein, and reviews and articles on the book that appeared at the time of its original publication in the New York Times, tthe American Economic Review, and a variety of other publications. Together, these writings provide readers a matchless opportunity to more fully appreciate a work whose influence will yet resound for generations to come.

    This new approach to insomnia will change lives." -- Dr W Rosental, Consultant Psychiatrist and Addiction Specialist. Product Description To those who are longing for a good night's sleep To those addicted to sleeping pills To those who would give anything to get over their insomnia To those for whom 'nothing ever seems to work' To every person who has suffered the horror of chronic insomnia, to every insomniac everywhere... ...this is for you The Effortless Sleep Method is the book insomniacs all over the world have been waiting for, even those for whom 'nothing ever works'. This highly practical and hugely effective method offers a simple and permanent solution for long-term and new insomniacs alike. The Effortless Sleep Method gives you something no other sleep aid can - an entirely different way of looking at insomnia. The step-by-step insomnia recovery programme contained in this book doesn't just treat insomnia, it totally undermines it. This is not another dry as dust reference book written by a doctor, but a lively, empowering book which connects the sufferer intimately to one who has gone through the same pain. Many insomnia books follow a similar format: scientific information about sleep, a section on sleep hygiene and a set of relaxation techniques, all interspersed with various case studies. While in some cases this will be helpful in learning how to sleep better, for many, this will never be enough. The chronic insomniac can think his or her way around the sleep hygiene, will doubt the validity of the case studies and will fight the relaxation techniques. The chronic insomniac has been there, done that; the chronic insomniac has an answer for everything. This book is entirely different in its approach to insomnia. Yes, there are practical changes to make, but the real magic lies in the changes it will make to your thinking. Because of this, the approach in the book is not only useful in treating insomnia; once mastered, the principles can be extended into other areas of your life. What will you get from The Effortless Sleep Method? You will discover a truly permanent solution to chronic insomnia, even if you have suffered for decades You may end up sleeping better that you have ever done, Discover the one simple rule which can instantly improve your sleep Learn the secret most doctors won't tell you You will finally understand why 'nothing seems to work', no matter how many remedies and sleep aids you try Learn the astonishing and unexpected ways in which you may be sabotaging your own recovery with everyday talk and activities Hear a new and surprising take on sleep restriction therapy, which explains why it may not have worked for you You will feel empowered, optimistic, acquire a positive outlook and feel more in control of your life in general The ability to sleep soundly, naturally and unaided is the desire of every chronic insomniac. This book will guide you to rediscovering your innate ability to sleep without pills, potions or external sleep aids. When The Effortless Sleep Method is followed properly, the results can be incredible.