Автор: Buuren, Stef Van (tno Quality Of Life, Leiden, The Netherlands) Название: Flexible imputation of missing data, second edition ISBN: 1138588318 ISBN-13(EAN): 9781138588318 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.
Автор: He, Yulei Название: Multiple Imputation Analysis For Ob ISBN: 1498722067 ISBN-13(EAN): 9781498722063 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.
Автор: Templ Название: Visualization and Imputation of Missing Values ISBN: 3031300726 ISBN-13(EAN): 9783031300721 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for complex data. By describing the advantages, disadvantages and pitfalls of each method, the book presents a clear picture of which imputation methods are applicable given a specific data set at hand. The material covered includes the pre-analysis of data, visualization of missing values in incomplete data, single and multiple imputation, deductive imputation and outlier replacement, model-based methods including methods based on robust estimates, non-linear methods such as tree-based and deep learning methods, imputation of compositional data, imputation quality evaluation from visual diagnostics to precision measures, coverage rates and prediction performance and a description of different model- and design-based simulation designs for the evaluation. The book also features a topic-focused introduction to R and R code is provided in each chapter to explain the practical application of the described methodology. Addressed to researchers, practitioners and students who work with incomplete data, the book offers an introduction to the subject as well as a discussion of recent developments in the field. It is suitable for beginners to the topic and advanced readers alike.
Автор: Berglund Patricia, Heeringa Steven G. Название: Multiple Imputation of Missing Data Using SAS ISBN: 1612904521 ISBN-13(EAN): 9781612904528 Издательство: Неизвестно Рейтинг: Цена: 56340.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kleinke Kristian, Reinecke Jost, Salfrбn Daniel Название: Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R ISBN: 3030381633 ISBN-13(EAN): 9783030381639 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.
Автор: Kleinke Kristian, Reinecke Jost, Salfrбn Daniel Название: Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R ISBN: 3030381668 ISBN-13(EAN): 9783030381660 Издательство: Springer Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.
Автор: Van Buuren, Stef Название: Flexible imputation of missing data, second edition ISBN: 1032178639 ISBN-13(EAN): 9781032178639 Издательство: Taylor&Francis Рейтинг: Цена: 39800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This is the second edition of a popular book on multiple imputation, focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field.
Автор: de Waal Название: Handbook of Statistical Data Editing and Imputation ISBN: 0470542802 ISBN-13(EAN): 9780470542804 Издательство: Wiley Рейтинг: Цена: 166790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values.
Автор: Raghunathan, Trivellore Название: Multiple Imputation in Practice ISBN: 0367734036 ISBN-13(EAN): 9780367734039 Издательство: Taylor&Francis Рейтинг: Цена: 50010.00 T Наличие на складе: Нет в наличии.
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