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. M...Daugiau...
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the mo...Daugiau...
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. Over the past 40 ye...Daugiau...
Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. This book covers the most up-to-date statistical theories and computa...Daugiau...
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 deve...Daugiau...
Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as ill...Daugiau...
The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining d...Daugiau...
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. It discusses the pros and cons...Daugiau...
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. It discusses the pros and cons...Daugiau...
The quality of the integration of multiple data sources is key to ensuring that the data can be properly analyzed. This book presents statistical methods for analyzing integrated data, covering uncertainty due to linkage and matching, target popul...Daugiau...
Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, which are often not met in practice. Multiple imputation replaces each missing value by...Daugiau...
Capture-recapture methods are techniques used to estimate the size of populations that cannot be easily counted. Examples are homeless populations, illegal immigrants, illegal drug users, drivers driving without a license, domestic violence cases,...Daugiau...
(Išleidimo metai: 23-Jul-2013, Hardback, Leidėjas: Taylor & Francis Inc, ISBN-13: 9781439849637)
Ši knyga nebeleidžiama, tačiau mes Jums pranešime naudoto egzemplioriaus kainą
With the advances in statistical computing, there has been a rapid development of techniques and applications in missing data analysis. This book aims to cover the most up-to-date statistical theories and computational methods for analyzing incomple...Daugiau...
Ši knyga nebeleidžiama, tačiau mes Jums pranešime naudoto egzemplioriaus kainą
Preface We are surrounded by missing data. Problems created by missing data in statistical analysis have long been swept under the carpet. These times are now slowly coming to an end. The array of techniques to deal with missing data has expanded co...Daugiau...
(Išleidimo metai: 27-May-2008, Other digital carrier, Leidėjas: Wiley-Blackwell, ISBN-13: 9780470316696)
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the bene...Daugiau...
Demonstrates how nonresponse in sample surveys and censuses can be handled by replacing each missing value with two or more multiple imputations. Clearly illustrates the advantages of modern computing to such handle surveys, and demonstrates the bene...Daugiau...
(Išleidimo metai: 02-Oct-2003, Paperback / softback, Leidėjas: Peter Lang AG, ISBN-13: 9783631513712)
Im Mittelpunkt der Betrachtung steht das einfache additive Modell g = (x) + Ī mit fehlenden Werten in x. Das Ziel besteht im Vergleich von aus der linearen Regressionsrechnung bekannten Verfahren mit der nearest neighbor imputation. Neben einer ......Daugiau...
