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Methods for measuring population change : a systems analysis summary.

Author: Forrest E Linder; United States. Health Services and Mental Health Administration.; National Center for Health Statistics (U.S.)
Publisher: Washington, D.C. : U.S. Dept. of Health, Education, and Welfare, Public Health Service, Health Services and Mental Health Administration, [1969]
Series: DHEW publication, no. (HSM) 73-1262.; Public Health Service publication, no. 1000.; Vital and health statistics., Series 2,, Data evaluation and methods research ;, no. 32.
Edition/Format:   eBook : Document : National government publication : EnglishView all editions and formats
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Genre/Form: Vital statistics
Statistics, Vital
Additional Physical Format: Methods for measuring population change : a systems analysis summary (Original)
(DLC) 71600267
(OCoLC)15253
Material Type: Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Forrest E Linder; United States. Health Services and Mental Health Administration.; National Center for Health Statistics (U.S.)
OCLC Number: 52707738
Notes: Title from title screen (viewed Jan. 27, 2004).
At head of title: National Center for Health Statistics.
Author: Forrest E. Linder.
"An introductory study of varying requirements of data for the measurement of population change, and of the alternative methods which are available to obtain these data, using a systems analysis approach. Data requirements are grouped into four categories, and seven major statistical methods are explored and rated in terms of their usefulness in furnishing each type of data."
"March 1969."
Reproduction Notes: Electronic reproduction. Hyattsville, Md. : National Center for Health Statistics, 200u.
Description: 1 online resource.
Details: System requirements: Adobe Acrobat Reader.; Mode of access: Internet via the World Wide Web.
Series Title: DHEW publication, no. (HSM) 73-1262.; Public Health Service publication, no. 1000.; Vital and health statistics., Series 2,, Data evaluation and methods research ;, no. 32.

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