Sampling: Design and Analysis
By R. Tortora. 2000
1,668 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Statistics and Probability, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/f78765c7189536209193ccbe4ae55b83b6640147
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Jun Shao
- Xiao-Li Meng
- Andrei Kirilenko
- Svetlana Stepchenkova
- Alan F. Karr
- Alastair M. Morrison
- Adamantios Diamantopoulos
- Biao Zhang
In Statistics and Probability
- Christiane Lemieux
- Andrew Gelman
- Tommaso Cai
- Xiao-Li Meng
- Lawrence D. Brown
- Jun Shao
- Housila P. Singh
- Jake Bowers
In Water Science and Technology
- Gerard B. M. Heuvelink
- Bernadette Bindewald
- Y. Ruvalcaba
- Ahmad Banamah
- Christina P. Sheran
- Mary Pickart
- Ted Chang
- D. Rao
Citations in the corpus
- Citizens' Perceptions of Distributive and Procedural Injustice During Traffic Stops with Police (2005, background): “The standard errors generated through these procedures are not inflated, and therefore the tests of significance are reliable.”
- A new ranked set sample estimator of variance (2002, background): “Sometimes the unbalanced allocation will follow the Neyman allocation of survey sampling (e.g. Lohr (1999)) with judgment classes as strata; at other times the unbalanced allocation will follow from a planned exploitation of a presumed distributional form (e.g. Öztürk and Wolfe (2000a, b, c)).”
- Control variates for quasi-Monte Carlo (2005, methodology): “See Cochran (1977) and Lohr (1999).”
- Benchmarking Graph Neural Networks (2023, background): “It is unclear how to perform good data splits beyond randomizes splits, which are known to provide over-optimistic predictions (Lohr, 2009).”
- Poverty–Food Security Nexus: Evidence from a Survey of Urban Slum Dwellers in Kolkata (2014, methodology): “This was done using a special case of optimal allocation - Neyman allocation (Lohr, 1999).”
- Semi-supervised inference: General theory and estimation of means (2016, background): “See also Deng and Wu (1987) and more recently Lohr (2009), Chapter 3.2.”
- A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments (2013, background): “, [23, 24]) on survey sampling relate this classical treatment.”
- Examination of the Predictive Validity of Preschool Early Literacy Skills (2007, methodology): “Therefore, students with complete data were treated as a random subsample and estimates unbiased with respect to the original sample (Little & Rubin, 1987; Lohr, 1999).”
- Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data (2011, background): “An important aspect of model-based inference is that when the model is correctly specified, the estimator is generally approximately unbiased (Lohr, 1999).”
- Sampling Considerations for Disease Surveillance in Wildlife Populations (2008, positive): “If the size measure is related to the likelihood that the disease is present in the sample unit, then PPS leads to higher precision of the estimates (Lohr 1999).”
- Sampling for validation of digital soil maps (2011, methodology): “To estimate the quality measures described earlier, the usual estimators presented in standard textbooks on sampling theory (Cochran, 1977; Lohr, 1999) can be applied.”
- National health and nutrition examination survey: analytic guidelines, 1999-2010. (2013, background): “If sddsrvyr in (2,3,4,5,6), then MEC10YR = 1/5 * WTMEC2YR;”
- The Development of Open Access Journal Publishing from 1993 to 2009 (2011, methodology): “As a result of the aforementioned population characteristics, stratified random sampling with unequal probabilities [23] was adopted as the sampling strategy.”
- Prevalence of lower-extremity disease in the US adult population >=40 years of age with and without diabetes: 1999-2000 national health and nutrition examination survey. (2004, methodology): “Because of these differences, we further examined the potential impact of nonresponse by adjusting the original sampling weights according to methods published by Lohr (39).”
- A new method of imputation in survey sampling (2009, methodology): “The descriptive parameters of the study variable ACRES92 and auxiliary variable LARGEF92 after cleaning the data, which is used here, from Lohr [17] is given in Table 1.”
- Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling (2006, background): “Unfortunately, the term Bdesign effect^ has taken on two meanings in the sampling literature.(12,18) The”