Kevin Kim – författare

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral sciences.With revised examples that include options available using SAS 9.0, this expanded edition divides theory from applications within each chapter. Following an overview of the GLM, the book introduces unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also analyzes double multivariate linear, growth curve, seeming unrelated regression (SUR), restricted GMANOVA, and hierarchical linear models. New to the Second EditionTwo chapters on finite intersection tests and power analysis that illustrates the experimental GLMPOWER procedure Expanded theory of unrestricted general linear, multivariate general linear, SUR, and restricted GMANOVA models to comprise recent developments Expanded material on missing data to include multiple imputation and the EM algorithm Applications of MI, MIANALYZE, TRANSREG, and CALIS proceduresA practical introduction to GLMs, Univariate and Multivariate General Linear Models demonstrates how to fully grasp the generality of GLMs by discussing them within a general framework.

Building on your knowledge of how to write basic applications, Pro iOS 5 Tools: Xcode, Instruments and Build Tools shows how to take your apps from promising to real, and from good to great, by using numerous performance and debugging techniques and tools found in Xcode, Apple's Integrated Development Environment (IDE), Interface Builder and more.You will start by studying an alpha-stage iOS app and learning how you can use the tools provided in the iOS developer's toolbox, plus popular third-party tools, to take an app to a final product and ready to ship. Your own app development will never be the same again!Learn the tools available to all iOS developers: Xcode, Instruments, network diagnostic tools and version control Techniques for debugging by using Instruments, as well as the new features available in newest version of Xcode Performance tuning techniques and workflow enhancements

Whether you’re a self-taught iPhone and iPad apps development genius or have just made your way through the pages of Beginning iOS 6 Development, we have the perfect book for you. More iOS 6 Development: Further Explorations of the iOS SDK digs deeper into Apple’s latest iOS 6 SDK.

If you are looking to extend your iOS programming skills beyond the basics then More iPhone Development with Objective-C is for you. Authors Dave Mark, Jayant Varma, Jeff LaMarche, Alex Horovitz, and Kevin Kim explain concepts as only they can—with code snippets you can customize and use, as you like, in your own apps.More iPhone Development with Objective-C is an independent companion to Beginning iPhone Development with Objective-C. That is, it is a perfect second book, but it is also a great book for those looking to improve their skills who have already programmed for iOS. In particular it includes a series of chapters devoted to Core Data, the standard for Apple persistence. The authors carefully step through each Core Data concept and show techniques and tips specifically for writing larger apps—offering a breadth of coverage you won’t find anywhere else. More iPhone Development with Objective-C covers a variety of other topics, including Multipeer Connectivity’s relatively simple Bluetooth/WiFi peer-to-peer model, MapKit, and media library access and playback so that your applications can utilize media on your users’ computer. You’ll also find coverage of Interface Builder, Live Previews and Custom Controls and some advanced techniques for debugging your applications. The book is filled with useful topics that will bring your programs up-to-date with the new functionality built into iOS.

Interested in iPhone and iPad apps development? Want to learn more? Whether you are a relative newcomer to iPhone and iPad or iOS development or an old hand looking to expand your horizons, we have the perfect Swift-flavored book for you. The update to the bestselling More iPhone Development by Dave Mark and Jeff LaMarche, More iPhone Development with Swift digs deeper into the new Apple Swift programming language and iOS 8 SDK, explaining complex concepts and techniques in the same friendly, easy-to-follow style you’ve come to expect.More iPhone Development with Swift covers topics like Swift, Core Data, peer-to-peer networking using Multipeer Connectivity, working with data from the web, MapKit, in-application e-mail, Camera Live-Previews integration, Barcode scanning, Face recognition and more. All the concepts and APIs are clearly presented with code snippets you can customize and use, as you like, in your own apps. You’ll journey through coverage of concurrent programming and some advanced techniques for debugging your applications.

Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral sciences.With revised examples that include options available using SAS 9.0, this expanded edition divides theory from applications within each chapter. Following an overview of the GLM, the book introduces unrestricted GLMs to analyze multiple regression and ANOVA designs as well as restricted GLMs to study ANCOVA designs and repeated measurement designs. Extensions of these concepts include GLMs with heteroscedastic errors that encompass weighted least squares regression and categorical data analysis, and multivariate GLMs that cover multivariate regression analysis, MANOVA, MANCOVA, and repeated measurement data analyses. The book also analyzes double multivariate linear, growth curve, seeming unrelated regression (SUR), restricted GMANOVA, and hierarchical linear models. New to the Second EditionTwo chapters on finite intersection tests and power analysis that illustrates the experimental GLMPOWER procedure Expanded theory of unrestricted general linear, multivariate general linear, SUR, and restricted GMANOVA models to comprise recent developments Expanded material on missing data to include multiple imputation and the EM algorithm Applications of MI, MIANALYZE, TRANSREG, and CALIS proceduresA practical introduction to GLMs, Univariate and Multivariate General Linear Models demonstrates how to fully grasp the generality of GLMs by discussing them within a general framework.