Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth

Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth
Author :
Publisher : Department of Health and Human Services
Total Pages : 76
Release :
ISBN-10 : IND:30000056256906
ISBN-13 :
Rating : 4/5 (06 Downloads)

Book Synopsis Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth by :

Download or read book Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth written by and published by Department of Health and Human Services. This book was released on 1998 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth Related Books

Sample Design, Sampling Weights, Imputation, and Variance Estimation in the 1995 National Survey of Family Growth
Language: en
Pages: 76
Authors:
Categories: Family & Relationships
Type: BOOK - Published: 1998 - Publisher: Department of Health and Human Services

DOWNLOAD EBOOK

Plan and Operation of the 1995 National Survey of Family Growth
Language: en
Pages: 100
Authors:
Categories: Medical
Type: BOOK - Published: 1997 - Publisher: National Center for Health Statistics

DOWNLOAD EBOOK

Statistics of Income
Language: en
Pages: 674
Authors:
Categories: Corporations
Type: BOOK - Published: - Publisher:

DOWNLOAD EBOOK

Statistics of Income
Language: en
Pages: 336
Authors: United States. Internal Revenue Service
Categories: Corporations
Type: BOOK - Published: 2001 - Publisher:

DOWNLOAD EBOOK

Studies of Welfare Populations
Language: en
Pages: 538
Authors: National Research Council
Categories: Social Science
Type: BOOK - Published: 2002-01-20 - Publisher: National Academies Press

DOWNLOAD EBOOK

This volume, a companion to Evaluating Welfare Reform in an Era of Transition, is a collection of papers on data collection issues for welfare and low-income po