Handbook of Statistical Methods and Analyses in Sports,
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Gelfand, Alan E. Fuentes, Montserrat Guttorp, Pete Название: Handbook of spatial statistics ISBN: 1420072870 ISBN-13(EAN): 9781420072877 Издательство: Taylor&Francis Рейтинг: Цена: 103610.00 T Наличие на складе: Есть Описание: Offers an introduction detailing the evolution of the field of spatial statistics. This title focuses on the three main branches of spatial statistics: continuous spatial variation (point referenced data); discrete spatial variation, including lattice and areal unit data; and, spatial point patterns.
Автор: Everitt, Brian S. Название: A Handbook of Statistical Analyses Using S-PLUS ISBN: 1138469408 ISBN-13(EAN): 9781138469402 Издательство: Taylor&Francis Рейтинг: Цена: 188850.00 T Наличие на складе: Невозможна поставка. Описание: S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. This book focuses on statistical techniques, applies them to one or more data sets, and shows how to generate the proposed analysis and graphics using S-PLUS.
Автор: Der, Geoff Название: A Handbook of Statistical Analyses using SAS ISBN: 1584887842 ISBN-13(EAN): 9781584887843 Издательство: Taylor&Francis Рейтинг: Цена: 81650.00 T Наличие на складе: Нет в наличии.
Название: Handbook of Cluster Analysis ISBN: 1466551887 ISBN-13(EAN): 9781466551886 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.
The book is organized according to the traditional core approaches to cluster analysis, from the origins to recent developments. After an overview of approaches and a quick journey through the history of cluster analysis, the book focuses on the four major approaches to cluster analysis. These approaches include methods for optimizing an objective function that describes how well data is grouped around centroids, dissimilarity-based methods, mixture models and partitioning models, and clustering methods inspired by nonparametric density estimation. The book also describes additional approaches to cluster analysis, including constrained and semi-supervised clustering, and explores other relevant issues, such as evaluating the quality of a cluster.
This handbook is accessible to readers from various disciplines, reflecting the interdisciplinary nature of cluster analysis. For those already experienced with cluster analysis, the book offers a broad and structured overview. For newcomers to the field, it presents an introduction to key issues. For researchers who are temporarily or marginally involved with cluster analysis problems, the book gives enough algorithmic and practical details to facilitate working knowledge of specific clustering areas.
Название: Handbook Of Spatial Epidemiology ISBN: 1482253011 ISBN-13(EAN): 9781482253016 Издательство: Taylor&Francis Рейтинг: Цена: 163330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective. Top epidemiologists, geographers, and statisticians share interdisciplinary viewpoints on analyzing spatial data and space-time variations in disease incidences. These analyses can provide important information that leads to better decision making in public health.
The first part of the book addresses general issues related to epidemiology, GIS, environmental studies, clustering, and ecological analysis. The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods, and testing and nonparametric approaches. With a focus on special methods, the third part describes geostatistical models, splines, quantile regression, focused clustering, mixtures, multivariate methods, and much more. The final part examines special problems and application areas, such as residential history analysis, segregation, health services research, health surveys, infectious disease, veterinary topics, and health surveillance and clustering.
Spatial epidemiology, also known as disease mapping, studies the geographical or spatial distribution of health outcomes. This handbook offers a wide-ranging overview of state-of-the-art approaches to determine the relationships between health and various risk factors, empowering researchers and policy makers to tackle public health problems.
Автор: O`Brien Название: Age-Period-Cohort Models, Approache ISBN: 1466551534 ISBN-13(EAN): 9781466551534 Издательство: Taylor&Francis Рейтинг: Цена: 84710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Develop a Deep Understanding of the Statistical Issues of APC Analysis
Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach.
See How Common Methods Are Related to Each Other
After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects.
Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables
This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.
Автор: Edoardo M. Airoldi, David Blei, Elena A. Erosheva, Stephen E. Fienberg Название: Handbook of Mixed Membership Models and Their Applications ISBN: 0367330849 ISBN-13(EAN): 9780367330842 Издательство: Taylor&Francis Рейтинг: Цена: 73490.00 T Наличие на складе: Невозможна поставка. Описание: This handbook shows how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.
Автор: Hothorn Название: A Handbook of Statistical Analyses using R, Third Edition ISBN: 1482204584 ISBN-13(EAN): 9781482204582 Издательство: Taylor&Francis Рейтинг: Цена: 69410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis.
New to the Third Edition
Three new chapters on quantile regression, missing values, and Bayesian inference
Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables
Additional exercises
More detailed explanations of R code
New section in each chapter summarizing the results of the analyses
Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses
Whether you're a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results.
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.
Название: Handbook Of Infectious Disease Data ISBN: 1138626716 ISBN-13(EAN): 9781138626713 Издательство: Taylor&Francis Рейтинг: Цена: 193950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.
Название: Handbook Of Statistical Methods For ISBN: 1498714625 ISBN-13(EAN): 9781498714624 Издательство: Taylor&Francis Рейтинг: Цена: 219470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook is intended to serve as a reference text on statistical methods for randomized controlled trials. It can be used as a textbook for a graduate course in statistical methods for randomized controlled trials as well as a reference for those involved in the design, monitoring and analysis of randomized controlled trials.
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