“I’ve got the name for our publishing operation. We just said we were going to publish a few books on the side at random. Let’s call it Random House.” So recounts Bennett Cerf in this wonderfully amusing memoir of the making of a great publishing house. An incomparable raconteur, possessed of an irrepressible wit and an abiding love of books and authors, Cerf brilliantly evokes the heady days of Random House’s first decades. Part of the vanguard of young New York publishers who revolutionized the book business in the 1920s and ’30s, Cerf helped usher in publishing’s golden age. Cerf was a true personality, whose other pursuits (columnist, anthologist, author, lecturer, radio host, collector of jokes and anecdotes, perennial judge of the Miss America pageant, and panelist on What’s My Line?) helped shape his reputation as a man of boundless energy and enthusiasm and brought unprecedented attention to his company and to his authors. At once a rare behind-the-scenes account of book publishing and a fascinating portrait of four decades’ worth of legendary authors, from James Joyce and William Faulkner to Ralph Ellison and Eudora Welty, At Random is a feast for bibliophiles and anyone who’s ever wondered what goes on inside a publishing house.

An examination of the artistic development of Robert Rauschenberg, focusing on his relationship with John Cage and his role in the making of the American neo-avant-garde.

You can be greater than you know how to be. In a world where you are pushed to know more, this book will prove that your greatest asset is often not knowing. In a world where you are told it’s all in the planning, this book will encourage you to keep your cart ahead of your horse and allow your dreams to lead you. In a world where you are told you need to become someone, this book will show you that you already are someone. The author—the foremost accidental expert on this subject—is Talia Leman. A high school student. Runner in the rain. Science enthusiast. World changer. Random kid. Writing with infectious enthusiasm, humor, and resoluteness, she shares her secrets to being more than you know how to be, including Don’t Line Up Your Ducks, Sideways Is a Better Way to Go Forward, and Too Many Cooks Is the Right Number. In this unexpectedly poignant, strikingly honest, and informative guide, Talia Leman shows you how to make room for life’s surprises, demonstrating that everyone has what it takes to make a difference for anything that matters to them. A Random Book about the Power of ANYone will move you to rethink and reimagine what’s possible, one random inspiration, one random idea, one random person at a time.

S. Chand’s Mathematics books for Classes IX and X are completely based on CCE pattern of CBSE. The book for Term I covers the syllabus from April to September and the book for Term II covers the syllabus from October to March.

Who’s the real victim here? This tense and gripping novel explores of the consequences of cyberbullying. Late at night Tori receives a random phone call. It’s a wrong number. But the caller seems to want to talk, so she stays on the line. He asks for a single thing—one reason not to kill himself. The request plunges her into confusion. Because if this random caller actually does what he plans, he’ll be the second person connected to Tori to take his own life. And the first just might land her in jail. After her Facebook page became Exhibit A in a tragic national news story about cyberbullying, Tori can’t help but suspect the caller is a fraud. But what if he’s not? Her words alone may hold the power of life or death. With the clock ticking, Tori has little time to save a stranger—and maybe redeem herself—leading to a startling conclusion that changes everything…

Introducing Statistics has been revised to meet the requirements of all the new A Level specifications. It covers in one volume all the statistics required by students taking single-subject Advanced Level Mathematics and also provides the basis for a first course in statistics in higher education. This is a highly accessible resource, supported by clear illustrations, nearly 200 worked examples, and packed with examination style questions. Suggestions for practical work and for calculator and computer exercises are included.

Routine applications of advanced statistical methods on real data have become possible in the last ten years because desktop computers have become much more powerful and cheaper. However, proper understanding of the challenging statistical theory behind those methods remains essential for correct application and interpretation, and rarely seen in the medical literature. Modern Methods for Epidemiology provides a concise introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become indispensible tools for researchers working in epidemiology and medicine but are rarely discussed in details by standard textbooks of biostatistics or epidemiology. Contributors of this book are experienced researchers and experts in their respective fields. This textbook provides a solid starting point for those who are new to epidemiology, and for those looking for guidance in more modern statistical approaches to observational epidemiology. Epidemiological and biomedical researchers who wish to overcome the mathematical barrier of applying those methods to their research will find this book an accessible and helpful reference for self-learning and research. This book is also a good source for teaching postgraduate students in medical statistics or epidemiology.

Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.