Missing Data: A Gentle Introduction
 |
|
Описание:
While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use.Похожие книги
 | A cautionary case study of approaches to the treatment of missing data Автор: Paul Ch. Год: 2008 |
| Robotic Subsurface Mapping Using Ground Penetrating Radar Автор: Herman H. Год: 1997 |
| Data Mining Using SAS Applications Автор: George Fernandez Год: 2002 |
 | Data Quality Management in Wireless Sensor Networks: A Consistency Model Based Approach Автор: Kewei Sha Год: 2010 |
| Exploratory Data Mining and Data Cleaning Автор: Dasu T., Johnson T. Год: 2003 |
 | Knowledge Discovery and Data Mining: Challenges and Realities Автор: Xingquan Zhu Год: 2007 |