Welcome to CDC stacks | Variance and covariance of life table functions estimated from a sample of deaths - 13024 | Stephen B. Thacker CDC Library collection
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
Variance and covariance of life table functions estimated from a sample of deaths
Filetype[PDF-866.05 KB]


Details:
  • Supporting Files:
    No Additional Files
No Related Documents.
You May Also Like:
  1. Annotated bibliography on robustness studies of statistical procedures
    Personal Author:
    Govindarajulu, Z.; Leslie, R. T.;
    Corporate Author:
    National Center for Health Statistics (U.S.)
    Published:
    April 1972
    Series:
    Vital and health statistics. Series 2, Data evaluation and methods research ; no. 51
    DHEW publication ; no. (HSM) 72-1051
    Description:
    An annotated bibliography consisting of about 360 articles on robustness studies is prepared. Throughout the bibliography, a broad interpretation of robustness has been considered. In each annotation the authors have made every effort to summarize th...
    File Type:
    Filetype[PDF - 4.48 MB]
  2. STATIC AND ROVING SENSOR DATA FUSION FOR SPATIO-TEMPORAL HAZARD MAPPING WITH APPLICATION TO OCCUPATIONAL EXPOSURE ASSESSMENT1
    Personal Author:
    Ludwig, Guilherme; Chu, Tingjin; Zhu, Jun; Wang, Haonan; Koehler, Kirsten;
    Published:
    Apr 08 2017
    Source:
    Ann Appl Stat. 11(1):139-160.
    Description:
    Rapid technological advances have drastically improved the data collection capacity in occupational exposure assessment. However, advanced statistical methods for analyzing such data and drawing proper inference remain limited. The objectives of this...
    File Type:
    Filetype[PDF - 1.57 MB]
  3. High-Dimensional Bayesian Geostatistics
    Personal Author:
    Banerjee, Sudipto
    Published:
    May 16 2017
    Source:
    Bayesian Anal. 12(2):583-614
    Description:
    With the growing capabilities of Geographic Information Systems (GIS) and user-friendly software, statisticians today routinely encounter geographically referenced data containing observations from a large number of spatial locations and time points....
    File Type:
    Filetype[PDF - 1.28 MB]
  4. On nearest-neighbor Gaussian process models for massive spatial data
    Personal Author:
    Datta, Abhirup; Banerjee, Sudipto; Finley, Andrew O.; Gelfand, Alan E.;
    Published:
    2016 Sep-Oct
    Source:
    Wiley Interdiscip Rev Comput Stat. 8(5):162-171.
    Description:
    Gaussian Process (GP) models provide a very flexible nonparametric approach to modeling location-and-time indexed datasets. However, the storage and computational requirements for GP models are infeasible for large spatial datasets. Nearest Neighbor ...
    File Type:
    Filetype[PDF - 569.58 KB]
  5. Statistical methodologies for analyzing a complex sample survey : United States, 1980
    Personal Author:
    Landis, J. Richard; Lepkowski, James M.; Parsons, P. Ellen; Stehouwer, Sharon A.;
    Corporate Author:
    National Center for Health Statistics (U.S.)
    Published:
    March 1988
    Series:
    DHHS publication ; no. 88-20004
    National medical care utilization and expenditure survey. (Series). Series A, Methodological report ; no. 4
    Description:
    The purpose of this report is to provide researchers using the public use data tapes from the National Medical Care Utilization and Expenditure Survey (NMCUES) with guidelines for and illustrations of use of the data on those tapes. The effect of the...
    File Type:
    Filetype[PDF - 8.43 MB]