Results 221 to 230 of about 645,422 (275)

Stratified sampling

2019
AbstractIn stratified sampling, the N population units are grouped into L strata, independent samples are selected from within each stratum, and unbiased estimation is achieved as a weighted average of stratum-specific estimates. Strata may be natural—pool, riffle, and run habitat unit types in a small stream—or strata may be constructed to ensure that
David G. Hankin, Michael S. Mohr, Ken B. Newman   +2 more
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Stratified and Post-Stratified Sampling

2003
Stratified and post-stratified sampling schemes are useful survey techniques commonly used by government agencies, private consultants, and applied statisticians. Let us differentiate between stratified and post-stratified sampling.
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Stratified Sampling

2008
John B. Heppner, David B. Richman, Steven E. Naranjo, Dale Habeck, Christopher Asaro, Jean-Luc Boevé, Johann Baumgärtner, David C. Schneider, Paris Lambdin, Ronald D. Cave, Brett C. Ratcliffe, John B. Heppner, Rebecca W. Baldwin, Clay W. Scherer, J. Howard Frank, James C. Dunford, Louis A. Somma, David. B. Richman, E. S. Krafsur, Allen Crooker, John B. Heppner, John L. Capinera, Fabián D. Menalled, Matt Liebman, John L. Capinera, Peter E. A. Teal, Marjorie A. Hoy, James E. Lloyd, John Sivinski, Whitney Cranshaw, John B. Heppner, John B. Heppner, Peter H. Adler, John B. Heppner, James H. Tsai, Pauline O. Lawrence, Jennifer M. Zaspel, John B. Heppner, John L. Capinera, John B. Heppner, Oscar E. Liburd, Erin M. Sarzynski, Antônio R. Panizzi, Jamie Ellis, Amanda Ellis, Mark Headings, Antônio R. Panizzi, Paul D. Scotti, Peter D. Christian, Lionel Stange, John B. Heppner, John B. Heppner, Rebecca Baldwin, Robert K. Vander Meer, Catherine A. Preston, Gard W. Otis, Joseph W. Noling, Marjorie A. Hoy, Drion G. Bouicas, Allen Sanborn, Antônio R. Panizzi, David W. Ragsdale, John B. Heppner, Anthony Rossi, Marc Branham, Andrei Sourakov, Divina Amalin, Paula E. Cushing, Patrick De Clercq, Daniel C. Peck, Vinton Thompson, David E. Bowles, John L. Capinera, Vincent G. Nealis, John L. Capinera, James E. Cilek, Waldemar Klassen, Erich Tilgner, Miguel Costas, Ángeles Vázquez, Antônio R. Panizzi, Jorge R. Rey, Boris C. Kondratieff, Norbert H. Haunerland, Daniel A. Hahn, Jeffrey C. Lord, Jeyaraney Kathirithamby, Allan T. Showler, Rufolf H. Scheffrahn, Robert L. Meagher, Maria Gallo, Fiona F. Hunter, John B. Heppner, John B. Heppner, John B. Heppner, Dan Gerling, Pierre Jolivet, John L. Capinera, Seiichi Moriya, Marjorie A. Hoy, Roger F. Hou, Pauline O. Lawrence, Beverly Burden, Kun Yan Zhu, George Hangay   +104 more
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Stratified Sampling

2021
Yan Lu, Sharon L. Lohr
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Stratified Adaptive Cluster Sampling

Biometrika, 1991
SUMMARY Stratified adaptive cluster sampling refers to designs in which, following an initial stratified sample, additional units are added to the sample from the neighbourhood of any selected unit with an observed value that satisfies a condition of interest.
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Stratified Sampling

2011
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Stratified cluster sampling

BMJ, 2013
Researchers investigated the suitability of a newly developed famine scale as an international definition of famine to guide humanitarian response, funding, and accountability.1 The scale had been proposed by Howe and Devereux, and it defined famine on the basis of intensity and magnitude .
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