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Graham, John W. - Missing Data, ebook

Missing Data

Graham, John W.

129,65€

Practical Issues Relating to Analysis with Missing Data: Avoiding and Troubleshooting Problems
John W. Graham
9. Dealing with the Problem of Having Too Many Variables in the Imputation Model
John W. Graham, M. Lee

Tsiatis, Anastasios A. - Semiparametric Theory and Missing Data, ebook

Semiparametric Theory and Missing Data

Tsiatis, Anastasios A.

86,80€

Locally Efficient Estimators for Coarsened-Data Semiparametric Models
12. Approximate Methods for Gaining Efficiency
13. Double-Robust Estimator of the Average Causal Treatment Effect
14. Multiple Imputation: A Frequentist Perspective

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Kenward, Michael - Missing Data in Clinical Studies, ebook

Missing Data in Clinical Studies

Kenward, Michael

100,20€

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

Longford, Nicholas T. - Missing Data and Small-Area Estimation, ebook

Missing Data and Small-Area Estimation

Longford, Nicholas T.

78,10€

Table of contents
Part I. Missing data
1. Prologue
2. Describing incompleteness
3. Single imputation and related methods
4. Multiple imputation
5. Case studies
Part II. Small-area estimation
6. Introduction
7. Models for small areas
8. Using auxiliary information
9. Using small-area estimators
10.

Bouza-Herrera, Carlos N. - Handling Missing Data in Ranked Set Sampling, ebook

Handling Missing Data in Ranked Set Sampling

Bouza-Herrera, Carlos N.

65,55€

Table of contents
1. Missing Observations and Data Quality Improvement
Carlos N. Bouza-Herrera
2. Sampling Using Ranked Sets: Basic Concepts
Carlos N. Bouza-Herrera
3. The Non-response Problem: Subsampling Among the Non-respondents
Carlos N. Bouza-Herrera
4. Imputation of the Missing Data
Carlos

Montanari, Angela - Data Science, ebook

Data Science

Montanari, Angela

133,75€

Benchmarking for Clustering Methods Based on Real Data: A Statistical View
Anne-Laure Boulesteix, Myriam Hatz
7. Representable Hierarchical Clustering Methods for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra
8.