Wang, Yanwei  | Morgan & Claypool

63,870원  | 20050501  | 9781598290004

Spectral estimation is important in many fields including astronomy, meteorology, seismology, communications, economics, speech analysis, medical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences.

Enders, Craig K  | Guilford

0원  | 20100517  | 9781606236390

Walking readers step by step through complex concepts, this book translates missing data techniques into something that applied researchers and graduate students can understand and utilize in their own research. Enders explains the rationale and procedural details for maximum likelihood estimation, Bayesian estimation, multiple imputation, and models for handling missing not at random (MNAR) data.

CRC Press  | Taylor & Francis

170,620원  | 20151120  | 9781482211924

This excellent addition to the ever popular Questions & Answers series lifts the flap on all kinds of gadgets, systems and ideas. It answers questions such as How does electricity get into our walls? Why do waves go up and down? and Where does money come from? Perfect for every inquisitive child.

O'kelly, Michael  | John Wiley & Sons Inc

138,210원  | 20140523  | 9781118460702

A practical guide for handling and planning for missing data in clinical trials, Clinical Trials with Missing Data provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents statisticians, biostatisticians, and researchers with approaches to effectively address them.

Springer Vienna, United States Children's Bureau, National Center on Child Abuse and Negle  | Springer Vienna

255,480원  | 20130318  | 9781461440178

This book uses a plain-English style to show non-statistician researchers how to employ modern missing data procedures in their work. A supplementary web site offers free downloads of statistical software, sample empirical data sets and practical exercises.

van Buuren  | CRC Press

25,000원  | 20180716  | 9781138588318

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 multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value.

 | Wiley

0원  | 19870301  | 9780471802549

 | CRC Press

95,270원  | 20210930  | 9781032178639

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.

 | Springer Nature B.V.

72,980원  | 20131127  | 9783642399008

?The existence of missing observations is a very important aspect to be considered in the application of survey sampling, for example. In human populations they may be caused by a refusal of some interviewees to give the true value for the variable of interest. Traditionally, simple random sampling is used to select samples. Most statistical models are supported by the use of samples selected by means of this design.

Berglund, Patricia  | SAS Institute

83,850원  | 20140716  | 9781612904528

Written for users with an intermediate background in SAS programming and statistics, this book is an excellent resource for anyone seeking guidance on multiple imputation. It provides both theoretical background and practical solutions for those working with incomplete data sets in an engaging example-driven format.

Laaksonen, Seppo  | Springer

255,480원  | 20180802  | 9783319790107

This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in corresponding survey books.

Molenberghs, Geert, Fitzmaurice, Garrett, Kenward, Michael G.  | Taylor & Francis

243,780원  | 20160126  | 9781439854617

Provides a year-round source of daily wisdom through exceptional photographs and inspiring quotations. This book combines meaningful, calming quotations and affirmations with powerful photography - the perfect source for relaxation and meditation.

Rogers, Andrei; Litt  | Springer Verlag

200,730원  | 20210101  | 9789048189144

This unique book introduces an essential element in applied demographic analysis: a tool-kit for describing, smoothing, repairing and - in instances of totally missing data - inferring directional migration flows. Migration rates combine with fertility and mortality rates to shape the evolution of human populations. Demographers have found that all three generally exhibit persistent regularities in their age and spatial patterns, when changing levels are controlled for.

Roderick J. A. Little, Donald B. Rubin  | John Wiley & Sons Inc

155,550원  | 20190401  | 9780470526798

Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

Geert Molenberghs  | Wiley

192,970원  | 20070504  | 9780470849811

Missing Data in Clinical Studies provides a comprehensive account of the problems arising when data from clinical and related studies are incomplete, and presents the reader with approaches to effectively address them. The text provides a critique of conventional and simple methods before moving on to discuss more advanced approaches. The authors focus on practical and modeling concepts, providing an extensive set of case studies to illustrate the problems described. Provides a practical guide to the analysis of clinical trials and related studies with missing data. Examines the problems caused by missing data, enabling a complete understanding of how to overcome them. Presents conventional, simple methods to tackle these problems, before addressing more advanced approaches, including sensitivity analysis, and the MAR missingness mechanism. Illustrated throughout with real-life case studies and worked examples from clinical trials. Details the use and implementation of the necessary statistical software, primarily SAS. Missing Data in Clinical Studies has been developed through a series of courses and lectures. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations. Graduate students of biostatistics will also find much of benefit.