Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods) - Image 1

£60.56

CRC Press Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Name: Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Brand: CRC Press
Price: 60.56 GBP
Availability: InStock

Methodology

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£61 today · all-time low £59 (Mar 2026) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 49 days • 49 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 49 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £59 (30 days, 61.2%)

Price range: £59 - £61

Price levels: 2 different prices over 49 days

Description

Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research. Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods.

Key Features

Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Product type: ABIS BOOK

CRC Press

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 0367739291
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology
Domain: Amazon UK
Release Date: 18 December 2020
Listed Since: 14 October 2020

Barcode

No barcode data available

CRC Press Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

About as cheap as it gets. The only time it was cheaper was 2 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

Applied Missing Data Analysis, Second Edition (Methodology in the Social Sciences)

Missing Data: Analysis and Design (Statistics for Social and Behavioral Sciences)

Missing Data: Analysis and Design (Statistics for Social and Behavioral Sciences)

Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)

Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives: An Essential Journey with Donald Rubin's Statistical Family (Wiley Series in Probability and Statistics)

Visualization and Imputation of Missing Values: With Applications in R (Statistics and Computing)

Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis: 109 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Chapman and Hall/CRC Analysis of Incomplete Multivariate Data

Multiple Imputation and its Application (Statistics in Practice)

Statistical Analysis with Missing Data: 793 (Wiley Series in Probability and Statistics)

Multiple Imputation in Practice: With Examples Using IVEware

Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R (Statistics for Social and Behavioral Sciences)

CRC Press Statistical Methods for Handling Incomplete Data

Missing Data in Clinical Studies: 26 (Statistics in Practice)

Semiparametric Theory and Missing Data (Springer Series in Statistics)

Bayesian Nonparametrics for Causal Inference and Missing Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Preventing and Treating Missing Data in Longitudinal Clinical Trials: A Practical Guide (Practical Guides to Biostatistics and Epidemiology)

Applied Multiple Imputation: Advantages, Pitfalls, New Developments and Applications in R (Statistics for Social and Behavioral Sciences)

The Operational Excellence Library; Mastering Data Imputation Methods

BI Statistical Methods: Volume I: Foundations

Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation: 201 (Lecture Notes in Statistics, 201)

Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques (Premier Reference Source)

Springer - Topics on Methodological and Applied Statistical Inference