Flexible Imputation of Missing Data (Chapman & Hall/CRC Interdisciplinary Statistics)
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The technique is simple, elegant and powerful. It is simple because it flls the holes in the data with plausible values. It is elegant because the uncertainty about the unknown data is coded in the data itself. And it is powerful because it can solve 'other' problems that are actually missing data problems in disguise.
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Over the last 20 years, I have applied multiple imputation in a wide variety of projects. I believe the time is ripe for multiple imputation to enter mainstream statistics.
Computers and software are now potent enough to do the required calculations with little e ort. What is still missing is a book that explains the basic ideas, and that shows how these ideas can be put to practice.
Chapman & Hall/CRC Interdisciplinary Statistics
My hope is that this book can ll this gapages The text assumes familiarity with basic statistical concepts and multivariate methods. The book is intended for two audiences: In writing this text, I have tried to avoid mathematical and technical details as far as possible. Formula's are accompanied by a verbal statement that explains the formula in layman terms-- Provided by publisher.
www.farmersmarketmusic.com: Flexible Imputation of Missing Data (Chapman & Hall/CRC Interdisciplinary Statistics) (): Stef van Buuren: Books. Editorial Reviews. Review. "As an applied biostatistician, the introductory chapter spoke directly Flexible Imputation of Missing Data (Chapman & Hall/CRC Interdisciplinary Statistics) - Kindle edition by Stef van Buuren. Download it once and Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics).
Multiple imputation Statistics Missing observations Statistics Electronic books. Flexible Imputation of Missing Data.
Flexible imputation of missing data. AB - Preface We are surrounded by missing data. PDF z q hardback 7 a B88 4 a Formula's are accompanied by a verbal statement that explains the formula in layman terms-- c Provided by publisher. Generalized Linear Models GLMs allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution.
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While numerous books exist on how to analyse data using a GLM, little information is available on how to collect the data that are to be Christophe Ley, Thomas Verdebout September 10, This book collects important advances in methodology and data analysis for directional statistics.
The field of directional statistics has received a lot of attention due to Compositional data can give misleading results if regular statistical methods are applied, and are best analysed by Missing data pose challenges to real-life data analysis.
Flexible imputation of missing data - Ghent University Library
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. Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas.
Exploring these new developments, Bayesian Disease Mapping: Ralitza Gueorguieva November 15, Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations.
Although many theoretical developments have appeared in the last fifty years, interval Christophe Ley, Thomas Verdebout September 15, Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades.
It provides a detailed overview and analysis of recent results that can help both researchers and practitioners. Knowledge of multivariate statistics eases the Dankmar Bohning, Peter G.
Capture-recapture methods have been used in biology and ecology for more than 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 illegal immigrants, illicit drug users, or people with Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology analysis , but also leads to an improved design of the technology synthesis.
Physical principles and mathematical procedures of medical imaging technologies have been Michael Greenacre December 20, Please accept our apologies for any inconvenience this may cause. Exclusive web offer for individuals. Modern Methods and Case Studies 1st Edition.