Most undergraduates have to undertake some form of literature review which may be daunting, this book explains it in an clear, easy to understand format. Explanations are given as to why undertaking a literature review is undertaken. Summery sections at the end of each chapter allow the reader to reflect on what they have just read, allowing the information to sink in. This book should be on every university's recommended reading list." Kerry Davis, Student Nurse, University Campus Suffolk, UK" ""This book is fantastic! It gives a clear, concise guide to carrying out a literature review, which is of course a widely used formative assessment technique in a nursing program ... (it includes) in depth explanations and reasons as to how and why it is important to do a literature review ... the summary section at the end of each chapter is excellent, and allows the reader to review their understanding of what they're just read. Overall an excellent book which is a must for any student nurse!" Gem Smith, Student Nurse, Northumbria University, UK"""This book is superb. It explains the entire process of writing a literature review very clearly ... extremely helpful as the prospect of reviewing literature can be quite daunting." Vicky Bain, Student Nurse, University of Nottingham, UK"A comprehensive, easy to read guide which will help students to understand how to undertake a literature review, and how to use the resultant information effectively." Anne-Marie Warnes, University of Central Lancashire, UK"As a student, currently writing a literature review, I found this an extremely helpful book, which is invaluable in demystifying some of the more challenging elements, while at the same time providing clear, simple, appealing and appropriate guidance. This is a must have for undergraduate nursing students, and indeed all healthcare students embarking on such projects." Audrey Grace, Trinity College Dublin, Dublin, Ireland"This bestselling book is a step-by-step guide to doing a literature review in health and social care. It is vital reading for all those undertaking their undergraduate or postgraduate dissertation or any research module which involves a literature review.The new edition has been fully updated and provides a practical guide to the different types of literature that you may come across when undertaking a literature review. It includes: Examples of commonly occurring real life scenarios encountered by students Emphasis on the importance of setting a question at the very start of the project Advice on how to follow a clearly defined search strategy Details of a wide range of critical appraisal tools "Doing a Literature Review in Health and Social Care 2/e" is essential reading for students at all levels within the health and social care field - and a useful text for anyone new to reviewing and appraising evidence.

    It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.

    This insider's view of the humorous and bizarre journey of a World Series champion pitcher turned color commentator will delight Pirates and baseball fans alike. Recounting his first years in the Major Leagues and his battle with the baffling condition that would ultimately bear his own name, Steve Blass tells the story of his life on and off the field with a poignant, dazzling wit and shares the life of a baseball player who had the prime of his career cut short.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    

    

    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.

    He encounters enterprising owners, dedicated managers, die-hard fans, Hall of Fame instructors, and hopeful players. 8-page insert.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    This title has a new edition: 5th Edition

    Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

    Using real-life case studies and written with a student-centered approach, this new edition provides students with the necessary knowledge and skills to enable them to undertake a piece of business research making the best use of IT where appropriate.

    But for some, the experience can be less sensory. Some, such as Ryan Spaeder and Kevin Reavy, live for baseball statistics. Stats give the game historical context and measurables for past, present, and predictive analysis.Incredible Baseball Stats helps tell unique baseball stories, showcasing extraordinary stats and facts in baseball history, through the 2015 season. For example, in 2015, the Nationals’ Bryce Harper broke out in a major way. He batted .330/.460/.649 with 42 home runs en route to his first MVP Award. It was his fourth MLB season, but he was still younger than NL Rookie of the Year Kris Bryant. He became the youngest player to lead the league in both on-base percentage and homers in the same season since Ty Cobb in 1909. Through 2015, he has a career .902 OPS (143 OPS+), the same OPS and adjusted OPS that Henry Aaron had through his first four seasons—and Hammerin’ Hank was nearly a year older!The authors have scoured the records for untold tales and looked at familiar ones with new statistical insights, to create Incredible Baseball Stats, a perfect book for baseball fans from coast to coast.Skyhorse Publishing, as well as our Sports Publishing imprint, are proud to publish a broad range of books for readers interested in sports—books about baseball, pro football, college football, pro and college basketball, hockey, or soccer, we have a book about your sport or your team.Whether you are a New York Yankees fan or hail from Red Sox nation; whether you are a die-hard Green Bay Packers or Dallas Cowboys fan; whether you root for the Kentucky Wildcats, Louisville Cardinals, UCLA Bruins, or Kansas Jayhawks; whether you route for the Boston Bruins, Toronto Maple Leafs, Montreal Canadiens, or Los Angeles Kings; we have a book for you. While not every title we publish becomes a New York Times bestseller or a national bestseller, we are committed to publishing books on subjects that are sometimes overlooked by other publishers and to authors whose work might not otherwise find a home.

    He was also the perfect idol for postwar America, a wholesome hero from the heartland.In A Season in the Sun, acclaimed historians Randy Roberts and Johnny Smith recount the defining moment of Mantle's legendary career: 1956, when he overcame a host of injuries and critics to become the most celebrated athlete of his time. Taking us from the action on the diamond to Mantle's off-the-field exploits, Roberts and Smith depict Mantle not as an ideal role model or a bitter alcoholic, but a complex man whose faults were smoothed over by sportswriters eager to keep the truth about sports heroes at bay. An incisive portrait of an American icon, A Season in the Sun is an essential work for baseball fans and anyone interested in the 1950s.