But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Your ultimate tablet experience is just one step away - selecting the applications, or apps, that provide exactly the entertainment, education, and functionality you desire. And that's where this guide will help you: finding the gems in Amazon's App Store. The App Store contains a breathtaking array of games, entertainment, utilities, and tools. Even though there are more than 700 apps described in this book, the bar was set very high--only a small percentage of the available apps are profiled here. Only those apps that deliver outstanding functionality - and whose developers have demonstrated a serious commitment to their customers - have made it into this reference guide. Nobody enjoys spending time weeding through apps that don't deliver the promised features (or contain hidden features you'd rather not have installed on your Kindle Fire). So what are you waiting for? Let's get started! Contents: INTRODUCTION ► BOOKS AND COMICS ► COMMUNICATION ► COOKING APPS ► EDUCATION ► ENTERTAINMENT ► FINANCE ► GAMES ► HEALTH AND FITNESS ► KIDS ► LIFESTYLE ► MUSIC ► NAVIGATION ► NEWS & MAGAZINES ► NOVELTY ► PHOTOGRAPHY ► PODCASTS ► PRODUCTIVITY ► REAL ESTATE ► REFERENCE ► SHOPPING ► SOCIAL NETWORKING ► SPORTS ► TRAVEL ► UTILITIES ► WEATHER ► WEB BROWSERS BOOK LOVERS, REJOICE! INDEX

    This updated edition of Ross's classic bestseller provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries.This book now contains a new section on compound random variables that can be used to establish a recursive formula for computing probability mass functions for a variety of common compounding distributions; a new section on hiddden Markov chains, including the forward and backward approaches for computing the joint probability mass function of the signals, as well as the Viterbi algorithm for determining the most likely sequence of states; and a simplified approach for analyzing nonhomogeneous Poisson processes. There are also additional results on queues relating to the conditional distribution of the number found by an M/M/1 arrival who spends a time t in the system; inspection paradox for M/M/1 queues; and M/G/1 queue with server breakdown. Furthermore, the book includes new examples and exercises, along with compulsory material for new Exam 3 of the Society of Actuaries.This book is essential reading for professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.

    The questions are of the highest quality--application level and higher.  This book contains all of the latest alternate format questions and is the only book updated to the latest NCLEX test plan. Study strategies are included with an emphasis on helping at-risk students.  In addition, there is a CD-ROM containing questions that allow students to practice test-taking skills in both a study and review mode, as well as student and instructor resources on the Point. There is the option to package this title with Lippincott's NCLEX-RN 10,000 Powered by PrepU, a powerful adaptive learning system geared to help students prepare for the NCLEX. These 2 products together offer students the perfect practice for the NCLEX-RN exam.

    This book is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics. The book carefully develops the theory of different algebraic structures, beginning from basic definitions to some in-depth results, using numerous examples and exercises to aid the reader's understanding. In this way, readers gain an appreciation for how mathematical structures and their interplay lead to powerful results and insights in a number of different settings. * The emphasis throughout has been to motivate the introduction and development of important algebraic concepts using as many examples as possible.

    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

    The author's enthusiasm for and knowledge of the current theatre, highlighted by contemporary production shots from around the world, put the students in the front row.

    A remarkable pictorial discussion of the curved space-time we call home, it achieves even greater impact through the use of 141 excellent illustrations. This is the first sustained visual account of many important topics in relativity theory that up till now have only been treated separately.Finding a perfect analogy in the situation of the geometrical characters in Flatland, Professor Rucker continues the adventures of the two-dimensional world visited by a three-dimensional being to explain our three-dimensional world in terms of the fourth dimension. Following this adventure into the fourth dimension, the author discusses non-Euclidean geometry, curved space, time as a higher dimension, special relativity, time travel, and the shape of space-time. The mathematics is sound throughout, but the casual reader may skip those few sections that seem too purely mathematical and still follow the line of argument. Readable and interesting in itself, the annotated bibliography is a valuable guide to further study.Professor Rucker teaches mathematics at the State University of New York in Geneseo. Students and laymen will find his discussion to be unusually stimulating. Experienced mathematicians and physicists will find a great deal of original material here and many unexpected novelties. Annotated bibliography. 44 problems.

    Aimed at undergraduate students in mathematics, physics, and engineering, the book's intuitive explanations, lack ofadvanced prerequisites, and consciously user-friendly prose style will help students to master the subject more readily than was previously possible. The key to this is the book's use of new geometric arguments in place of the standard calculational ones. These geometric arguments are communicatedwith the aid of hundreds of diagrams of a standard seldom encountered in mathematical works. A new approach to a classical topic, this work will be of interest to students in mathematics, physics, and engineering, as well as to professionals in these fields.

    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

    Included in this edition is a new chapter on the revolutionary topic of quantum computing.

    This text introduces students to proof techniques and writing proofs of their own. As such, it is an introduction to the mathematics enterprise, providing solid introductions to relations, functions, and cardinalities of sets.

    As well as lucid descriptions of all the topics and many worked examples, it contains over 800 exercises. New stand-alone chapters give a systematic account of the 'special functions' of physical science, cover an extended range of practical applications of complex variables, and give an introduction to quantum operators. Further tabulations, of relevance in statistics and numerical integration, have been added. In this edition, half of the exercises are provided with hints and answers and, in a separate manual available to both students and their teachers, complete worked solutions. The remaining exercises have no hints, answers or worked solutions and can be used for unaided homework; full solutions are available to instructors on a password-protected web site, www.cambridge.org/9780521679718.

    Disorders are summarized to be useful for students and professionals as a handy reference to support the study of the DSM-5 manual or its use in practice. Topics summarized include: Neurodevelopmental Disorders Schizophrenia Spectrum and Other Psychotic Disorders Bipolar and Related Disorders Depressive Disorders Obsessive Compulsive and Related Disorders Anxiety Disorders Trauma and Stressor Related Disorders Dissociative Disorders Somatic Symptom and Related Disorders Feeding and Eating Disorders Elimination Disorders Sleep-Wake Disorders Sexual Dysfunctions Disruptive, Impulse-Control, and Conduct Disorders Neurocognitive Disorders Personality Disorders Paraphilic Disorders Other Mental Disorders Other Conditions That May be a Focus of Clinical Attention

    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