Könyv Missing Data Paul D. Allison

Missing Data

Szerző: Paul D. Allison
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 14-20 napon belül
9 554 Ft
Sooner or later anyone who does statistical analysis runs into problems with missing data in which i...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2001
oldal
104
EAN
9780761916727
ISBN
0761916725
Enbook ID
04684040
Súly
130
Méretek
142 x 216 x 6

Teljes leírás

Sooner or later anyone who does statistical analysis runs into problems with missing data in which information for some variables is missing for some cases. Why is this a problem? Because most statistical methods presume that every case has information on all the variables to be included in the analysis. Using numerous examples and practical tips, this book offers a non-technical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has been relying on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.

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