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Relevant bibliographies by topics / Sample surveys

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Academic literature on the topic 'Sample surveys'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Sample surveys"

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Barnett, Vic. "Outliers in sample surveys." Journal of Applied Statistics 21, no. 5 (1994): 373–81. http://dx.doi.org/10.1080/757584014.

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Madrigal, J. L. "Theory of Sample Surveys." Technometrics 40, no. 4 (1998): 356–57. http://dx.doi.org/10.1080/00401706.1998.10485574.

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Smith, T. M. F. "Biometrika Centenary: Sample surveys." Biometrika 88, no. 1 (2001): 167–243. http://dx.doi.org/10.1093/biomet/88.1.167.

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Todd, Michael M., and Leon F. Burmeister. "Principles of Successful Sample Surveys." Anesthesiology 99, no. 6 (2003): 1251–52. http://dx.doi.org/10.1097/00000542-200312000-00003.

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McCarty, Christopher. "Determining Sample Size for Surveys." CAM 6, no. 3 (1994): 5. http://dx.doi.org/10.1177/1525822x9400600302.

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Titterington, D. M., William G. Madow, Harold Nisselson, Ingram Olkin, and Donald Rubin. "Incomplete Data in Sample Surveys." Journal of the American Statistical Association 80, no. 391 (1985): 768. http://dx.doi.org/10.2307/2288499.

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Smith, T. M. F. "Taguchi methods and sample surveys." Total Quality Management 5, no. 5 (1994): 243–54. http://dx.doi.org/10.1080/09544129400000045.

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Kinney, Satkartar K., and Darryl A. Cooney. "Nonresponse Bias in Sample Surveys." New Directions for Institutional Research 2019, no. 181 (2019): 35–46. http://dx.doi.org/10.1002/ir.20296.

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Rao, T. J. "Mahalanobis’ contributions to sample surveys." Resonance 4, no. 6 (1999): 27–33. http://dx.doi.org/10.1007/bf02834633.

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., Durr-E.-Nayab, and G. M. Arif. "Pakistan Panel Household Survey: Sample Size and Attrition." Pakistan Development Review 53, no. 2 (2014): 223–37. http://dx.doi.org/10.30541/v53i2pp.223-237.

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The socio-economic databases in Pakistan, as in most countries, can be classified into three broad categories, namely registration-based statistics, data produced by different population censuses and household survey-based data. The registration system of births and deaths in Pakistan has historically been inadequate [Afzal and Ahmed (1974)] and the population censuses have not been carried out regularly. The household surveys such as Pakistan Demographic Survey (PDS), Labour Force Survey (LFS) and Household Income Expenditure Survey (HIES) have been periodically conducted since the 1960s. The

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Dissertations / Theses on the topic "Sample surveys"

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Lau, Cheung-na. "Interviewer effects in sample surveys." [Hong Kong] : University of Hong Kong, 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13064794.

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劉長拿 and Cheung-na Lau. "Interviewer effects in sample surveys." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31976566.

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Rota, Bernardo João. "Calibration Adjustment for Nonresponse in Sample Surveys." Doctoral thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-51966.

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In this thesis, we discuss calibration estimation in the presence of nonresponse with a focus on the linear calibration estimator and the propensity calibration estimator, along with the use of different levels of auxiliary information, that is, sample and population levels. This is a fourpapers- based thesis, two of which discuss estimation in two steps. The two-step-type estimator here suggested is an improved compromise of both the linear calibration and the propensity calibration estimators mentioned above. Assuming that the functional form of the response model is known, it is estimated i

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Laurence, A. F. "Imputation and variance estimation in sample surveys." Thesis, University of Kent, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371146.

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Oshungade, I. O. "Nonresponse and ratio estimation problems in sample surveys." Thesis, University of Essex, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380376.

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Lundquist, Peter. "Estimating Interviewer Effects in Sample Surveys : Some Contributions." Doctoral thesis, Stockholm : Department of Statistics, Stockholm University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1295.

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O'Muircheartaigh, Colm Aongus. "An investigation of response variance in sample surveys." Thesis, London School of Economics and Political Science (University of London), 2000. http://etheses.lse.ac.uk/1624/.

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The dissertation considers response variance in sample surveys in the broader context of survey quality and survey error. Following a historical review of the evolution of both the terms and the concepts a brief overview is given of earlier research in the area. The principal content of the dissertation draws on investigations carried out by the author over the last thirty years. There are three separate strands of argument, each associated with a particular approach to the analysis. First there is the descriptive (simple diagnostic) orientation of establishing the circumstances under which (o

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Wafula, Charles. "Some contributions to variance estimation in sample surveys." Thesis, University of Kent, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.330191.

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Yin, Jiani. "Bayesian Nonparametric Models for Multi-Stage Sample Surveys." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/197.

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It is a standard practice in small area estimation (SAE) to use a model-based approach to borrow information from neighboring areas or from areas with similar characteristics. However, survey data tend to have gaps, ties and outliers, and parametric models may be problematic because statistical inference is sensitive to parametric assumptions. We propose nonparametric hierarchical Bayesian models for multi-stage finite population sampling to robustify the inference and allow for heterogeneity, outliers, skewness, etc. Bayesian predictive inference for SAE is studied by embedding a parametric

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Gao, Sujuan. "Estimation of variance components with applications in sample surveys." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293209.

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Books on the topic "Sample surveys"

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Thompson, M. E. Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6.

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Gupta, A. K. Theory of sample surveys. World Scientific, 2011.

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R, Judkins David, Urban Institute, Westat inc, Assessing the New Federalism (Program), and Child Trends Incorporated, eds. 1997 NSAF sample design. Urban Institute, 1999.

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Chaudhuri, Arijit, and Tasos C. Christofides. Indirect Questioning in Sample Surveys. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36276-7.

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Tucker, Howard G. Mathematical methods in sample surveys. World Scientific, 1998.

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Fink, Arlene. How to sample in surveys. 2nd ed. Sage, 2003.

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Ralph, DiGaetano, Waksberg Joseph, United States. Agency for Health Care Policy and Research., and Center for General Health Services Intramural Research (U.S.), eds. Sample design of the 1987 household survey. Agency for Health Care Policy and Research, Center for General Health Services Intramural Research, 1991.

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Chaudhuri, Arijit, and Sanghamitra Pal. A Comprehensive Textbook on Sample Surveys. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1418-8.

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Daplyn, M. G. Sample size determination for formal surveys. Pakistan Agricultural Research Council, 1994.

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Vic, Barnett, ed. Sample survey: Principles & methods. 3rd ed. Arnold, 2002.

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Book chapters on the topic "Sample surveys"

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Nicolini, Giovanna, and Luciana Dalla Valle. "Census and Sample Surveys." In Modern Analysis of Customer Surveys. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119961154.ch3.

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Shao, Jun, and Dongsheng Tu. "Applications to Sample Surveys." In The Jackknife and Bootstrap. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-0795-5_6.

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Varghese, K. A., B. R. Ranwah, Nisha Varghese, and Nikhil Varghese. "Design of Sample Surveys." In Research Methodology and Quantitative Techniques. Routledge, 2025. https://doi.org/10.4324/9781003527183-10.

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Thompson, M. E. "Introduction." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_1.

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Thompson, M. E. "The mathematics of probability sampling designs." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_2.

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Thompson, M. E. "Distributions induced by random sampling designs." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_3.

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Thompson, M. E. "Design-based estimation for general finite population quantities." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_4.

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Thompson, M. E. "Inference for descriptive parameters." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_5.

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Thompson, M. E. "Analytic uses of survey data." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_6.

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Thompson, M. E. "Sampling strategies in time and space." In Theory of Sample Surveys. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-2885-6_7.

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Conference papers on the topic "Sample surveys"

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Dou, Kai, Zekai Fan, Yuhan Zhang, Wenhan Wu, Feng Ye, and Jun Chen. "Exploring the Use of Large AI Models for Floor Live Load Surveys: A Preliminary Study." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2435.

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<p>Reliable live load values are essential for the reliability design of civil structures. Due to the inherent randomness of live loads, collecting a large amount of sample data is crucial for accurate load modeling. Traditional survey methods typically rely on sampling to investigate floor live loads, which poses several challenges, such as low efficiency, high costs, and privacy concerns. Additionally, weighing large indoor items on-site, such as heavy furniture or household appliances, presents significant difficulties, further limiting the accuracy of load surveys.</p><p>

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Cameron, R. M., W. S. Halliday, and S. L. Richards. "Airborne Remote Sensing of Pipeline Cathodic Protection Systems." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92385.

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Abstract This paper describes the principles, operation, and testing of an Airborne Cathodic Monitoring System (ACMS)(1) that detects upset conditions on pipelines protected by impressed current. ACMS consists of a battery of highly sensitive and highly filtered magnetic field coils, installed on a helicopter or light airplane, that continuously measure the magnetic field generated by the ripple from an alternating current source. Measurement of the magnetic field leads to a direct determination of current along the pipeline. Upset conditions on the cathodic protection system and the pipeline

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Achour, Mohsen H., Juri Kolts, and Arland H. Johannes. "Statistical Modeling of CO2 Pitting Corrosion for Downhole Applications." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93141.

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Abstract In this work, a statistical package has been developed to predict pitting corrosion behavior in CO2 environments. The model requires experimental or field pitting data, which list the depths of the deepest pits on a metal sample or at a specific location of a pipe. The model analyzes the data by applying Gumbel’s Extreme Value Theory and predicts the probability of occurrence of pit depths of interest. If the input data are time variable, i.e., more than one data set are given at different exposure times, then the model predicts the time-to-first leak and/or the corrosion allowance. G

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George, Joffin. "Manipulator Robot for Cathodic Protection Site Survey." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-11210.

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Abstract Cathodic protection (CP) site surveys are used to assess the effectiveness of corrosion protection on buried and submerged steel structures. It measures voltage gradients set up in the electrolyte by defects in coatings, which cause electrical currents to flow through the electrolyte surrounding the structure. All CP site surveys require manual labor. There is a huge possibility of both instrument and human errors involved in such surveys. Among these errors almost 90 percent is contributed by human errors and these errors rise due to many factors such as physical stress, lack of prop

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Jackson, Carole Ann, Thomas Franzen, Nick Seymour, et al. "The MWA GLEAM 4 Jy sample; a new large, bright radio source sample at 151 MHz." In The many facets of extragalactic radio surveys: towards new scientific challenges. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.267.0003.

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Gelszinnis, Jakob, Matthias Hoeft, and Sebastián E. Nuza. "Reconciling radio relic observations and simulations: The NVSS sample." In The many facets of extragalactic radio surveys: towards new scientific challenges. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.267.0049.

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Cuciti, Virginia. "Radio halos in galaxy clusters: insight from a mass-selected sample." In The many facets of extragalactic radio surveys: towards new scientific challenges. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.267.0040.

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Galluzzi, Vincenzo, Marcella Massardi, and Loretta Gregorini. "Polarimetric multi-frequency observations of a complete sample of radio sources." In The many facets of extragalactic radio surveys: towards new scientific challenges. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.267.0076.

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Bernardi, Gianni, Tiziana Venturi, Rossella Cassano, et al. "A KAT–7 view of a low-mass sample of galaxy clusters." In The many facets of extragalactic radio surveys: towards new scientific challenges. Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.267.0041.

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Hecker, Dirk, Hendrik Stange, Christine Korner, and Michael May. "Sample Bias due to Missing Data in Mobility Surveys." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.162.

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Reports on the topic "Sample surveys"

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Zarnoch, Stanley J., James W. Bentley, and Tony G. Johnson. Determining sample size for tree utilization surveys. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2004. http://dx.doi.org/10.2737/srs-rp-34.

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Zarnoch, Stanley J., James W. Bentley, and Tony G. Johnson. Determining sample size for tree utilization surveys. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2004. http://dx.doi.org/10.2737/srs-rp-34.

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Tennant, David. Business Surveys on the Impact of COVID-19 on Jamaican Firms. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003251.

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The datasets come from two surveys of Jamaican businesses conducted between May and June 2020. Two sets of self-administered surveys were conducted using Survey Monkey. A very small sample of financial institutions was surveyed to gain perspective on the challenges facing financiers as a result of the pandemic, and their efforts to respond to such challenges. Nine financial institutions completed this survey, and the results were used to complement the information derived from the second and major survey. The second survey targeted non-financial businesses operating in Jamaica. The sample of f

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Bourdeau, J. E., and R. D. Dyer. Regional-scale lake-sediment sampling and analytical protocols with examples from the Geological Survey of Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331911.

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Regional-scale lake sediment surveys have been successfully used since the 1970s as a means for reconnaissance geochemical exploration. Lake sediment sampling is typically performed in areas with a lack of streams and an overabundance of small-sized (=5 km across) lakes. Lake sediments are known to have major, minor and trace element concentrations that reflect the local geology. Overall, lake sediment surveys are planned and conducted following four distinct stages: 1) background research, 2) orientation survey, 3) regional survey, and 4) detailed survey. At the Geological Survey of Canada, s

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Darling, Arthur H., and William J. Vaughan. The Optimal Sample Size for Contingent Valuation Surveys: Applications to Project Analysis. Inter-American Development Bank, 2000. http://dx.doi.org/10.18235/0008824.

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One of the first questions that has to be answered in the survey design process is "How many subjects should be interviewed?" The answer can have significant implications for the cost of project preparation, since in Latin America and the Caribbean costs per interview can range from US$20 to US$100. Traditionally, the sample size question has been answered in an unsatisfactory way by either dividing an exogenously fixed survey budget by the cost per interview or by employing some variant of a standard statistical tolerance interval formula. The answer is not to be found in the environmental ec

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Zhang, Guangyu, Anna Oganyan, and Bill Cai. Creating synthetic data for complex surveys using the Research and Development Survey - a comparison study. National Center for Health Statistics (U.S.), 2025. https://doi.org/10.15620/cdc/174586.

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This report studies the impact of incorporating survey design information (strata/primary sampling units (PSUs), referred to in this report as design variables, and sampling weights) when synthesizing sample survey data using parametric and non-parametric methods.

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Gutiérrez Fernández, Emilio, and Adrian Rubli. Challenges for Measuring the LGBT+ Population and Homophobia in Mexico. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004747.

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We contribute to understanding the challenges for estimating the size of the LGBTQ population and discriminatory sentiment against it by surveying 10,003 individuals, whom we randomize into a direct question or an Item Count Technique (ICT) elicitation group. The fractions of the population that self-identify as LGBTQ, that reports having had same-sex sexual experiences, and that has felt same-sex attraction are higher for our sample than those obtained from government surveys. However, the difference between estimates recovered from our direct questions and through the ICT does not always hav

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McCurdy, M. W., J. M. Rice, H E Campbell, and R. C. Paulen. Regional lake sediment geochemical data from east-central Labrador (NTS 013-I, 013-J, 013-K 013-N, and 013-O): reanalysis data and QA/QC evaluation. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331526.

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This report presents the geochemical data, quality assurance and quality control (QA/QC) results of the reanalysis of lake sediment samples collected from east-central Labrador (NTS 013-I, 013-J, 013-K, 013- N, and 013-O). The original lake surveys were conducted in 1977, 1978, 1983, 1987 and 1992, and the reanalysis was initiated in 2022. Original survey results are presented in Geological Survey of Canada open files 513, 558, 997, 1636, 1637, 2645, 2646, 2648, and 2650. Lake sediments from 3 736 archived site samples were re-analyzed, covering an approximate area of 44 000 km2, with an avera

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Chen, Pan, Hong Cai, and Yu-Tao Xiang. Global prevalence of mild cognitive impairment among older adults living in nursing homes: a meta-analysis and systematic review of epidemiological surveys. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0098.

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Review question / Objective: To explore the prevalence of mild cognitive impairment among older adults living in nursing homes. among older adults living in nursing homes. Eligibility criteria: The inclusion criteria were defined based on the PICOS acronym: Participants (P): Older adults living in nursing homes and were screened for mild cognitive impairment (MCI); Intervention (I): not applicable; Comparison (C): not applicable; Outcome (O): prevalence of MCI or the data can calculate the prevalence of MCI; Study design (S): cohort studies with reporting baseline data, case-control, cross-sec

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Eckman, Stephanie, Joe Eyerman, and Dorota Temple. Unmanned Aircraft Systems Can Improve Survey Data Collection. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0018.1806.

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Unmanned aircraft systems (UAS), or drones, will disrupt many industries in the next 5 to 10 years. In this research brief, we speculate about how UAS could be used in survey data collection to make survey data more accurate and/or less costly. We put forth three ideas for how UAS can be used to improve surveys in the future to (1) supplement survey data with UAS photo and sensor data; (2) deliver survey hardware to selected respondents, and (3) detect and enumerate housing units for sample selection.

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