Literatura académica sobre el tema "Stage sampling Design"
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Artículos de revistas sobre el tema "Stage sampling Design"
Skinner, C. J. "Design Effects of Two-Stage Sampling". Journal of the Royal Statistical Society: Series B (Methodological) 48, n.º 1 (septiembre de 1986): 89–99. http://dx.doi.org/10.1111/j.2517-6161.1986.tb01393.x.
Texto completoUgwu, Michael C. y Mbanefo S. Madukaife. "Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage". Statistics in Transition New Series 23, n.º 3 (1 de septiembre de 2022): 199–214. http://dx.doi.org/10.2478/stattrans-2022-0038.
Texto completoRodrigues, Josemar. "Asymptotically design-unbiased predictors for two-stage sampling". Statistics & Probability Letters 17, n.º 5 (agosto de 1993): 411–14. http://dx.doi.org/10.1016/0167-7152(93)90263-i.
Texto completoVasconcellos, Mauricio Teixeira Leite de, Pedro Luis do Nascimento Silva y Célia Landmann Szwarcwald. "Sampling design for the World Health Survey in Brazil". Cadernos de Saúde Pública 21, suppl 1 (2005): S89—S99. http://dx.doi.org/10.1590/s0102-311x2005000700010.
Texto completoHossaini, Mostafa y Abdolhamid Rezaei Roknabadi. "Estimation of Subpopulation Parameters in One-stage Cluster Sampling Design". Journal of the Iranian Statistical Society 20, n.º 2 (1 de diciembre de 2021): 65–78. http://dx.doi.org/10.52547/jirss.20.2.65.
Texto completoRaju, C. y R. Vidya. "DESIGN OF TWO-STAGE CHAIN SAMPLING PLANS WITH KULLBACK-LEIBLER INFORMATION". Advances and Applications in Statistics 73 (10 de enero de 2022): 47–74. http://dx.doi.org/10.17654/0972361722010.
Texto completoFan, Xiang Ning, Hao Zheng, Yu Tao Sun y Xiang Yan. "Design and Implementation of a 12-Bit 100MS/s ADC". Applied Mechanics and Materials 229-231 (noviembre de 2012): 1507–10. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1507.
Texto completoValliant, Richard, Jill A. Dever y Frauke Kreuter. "Effects of Cluster Sizes on Variance Components in Two-Stage Sampling". Journal of Official Statistics 31, n.º 4 (1 de diciembre de 2015): 763–82. http://dx.doi.org/10.1515/jos-2015-0044.
Texto completoHsu, Lie-Fern y Jia-Tzer Hsu. "Economic Design of Acceptance Sampling Plans in a Two-Stage Supply Chain". Advances in Decision Sciences 2012 (29 de febrero de 2012): 1–14. http://dx.doi.org/10.1155/2012/359082.
Texto completoChen, Sixia, David Haziza y Zeinab Mashreghi. "A Comparison of Existing Bootstrap Algorithms for Multi-Stage Sampling Designs". Stats 5, n.º 2 (6 de junio de 2022): 521–37. http://dx.doi.org/10.3390/stats5020031.
Texto completoTesis sobre el tema "Stage sampling Design"
Wahlström, Dennis. "Probabilistic Multidisciplinary Design Optimization on a high-pressure sandwich wall in a rocket engine application". Thesis, Umeå universitet, Institutionen för fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138480.
Texto completoBryan, Paul David. "Accelerating microarchitectural simulation via statistical sampling principles". Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/47715.
Texto completoHuang, Kuo-Chung y 黃國忠. "(SYS,SYS)Two-stage Sampling Design". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/45166014857135482631.
Texto completo淡江大學
管理科學研究所
85
The purpose of this paper first investigates the theory of two-stage sampling method, then, by simulation process, we can look for the optimal sample size. Next, comparing the advantages and inferiorities between (SYS,SYS) and (SRS,SRS) two-stage sampling method, we can obtain the difference of them. The body of this article has five parts as following:1. Evaluate both expected value and variance of the estimator of the population mean.2. Find the unbaised estimator of the variance of the estimator of the population mean.3. Compare the size of variance between (SYS,SYS) and (SRS,SRS) two-stage sampling method.4. Determine the optimal allocation of two-stage sample size of (SYS,SYS) two-stage sampling method under cost limition.5. By simulation analysis, we compare the differences of variance between (SYS,SYS) and (SRS,SRS) two-stage sampling method, and look for the sample size to minimize the variance. In the process of simulation analysis, we can see that the variance of optimal allocation possess relative stable character. Hence, in practice, the values of cp/cs and Ss/Sp can be not achieved much exactly while we compute the sample size of the second-stage. In addition, using random number to produce 600 standard normal distributions, the variances of (SYS,SYS) two-stage sampling method which possess a relative minimizion is significantly lower than the variance of (SRS,SRS) two-stage sampling method when the value of m equals to 3.
Huang, Chih-Hao y 黃致豪. "(SRS,SYS) Two-Stage Sampling Design". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/14196703710569379384.
Texto completo淡江大學
管理科學研究所
85
The objects of this study is to investigate the theory of (SRS,SYS)two-stage sampling design, to find the optimal allocation of sampling units, then to compare its with (SRS,SRS) two-stage sampling design and to determine which one is better. The summaries of this thesis are as follows: 1. To calculate the expectation and variance of the estimated population mean and total. 2. To find the unbiased estimator of variance of the estimated population mean. 3. To compare variance of (SRS,SYS)two-stage sampling with that of (SRS,SRS)two- stage sampling by verification. 4. To consider the optimal allocation of sampling units under the limitations of cost and no cost by verification and simulation. 5. By the analysis of simulation, to compare the differences between variance of (SRS,SYS)two-stage sampling and that of (SRS,SRS) two- stage sampling, and to find the number of sampling units which makes the variance relatively minimum.
Huang, Zhi-Hao y 黃致豪. "(SRS,SYS) Two-Stage Sampling Design". Thesis, 1997. http://ndltd.ncl.edu.tw/handle/92676054994352362846.
Texto completoBacklund, Peter Bond. "A classifier-guided sampling method for early-stage design of shipboard energy systems". 2012. http://hdl.handle.net/2152/19624.
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Hsu, Wen-Feng y 許文峰. "Two-stage Case-Cohort Sampling Design for Estimating Multistate Disease Natural History of Colorectal Cancer". Thesis, 2015. http://ndltd.ncl.edu.tw/handle/45019700295543325501.
Texto completo國立臺灣大學
流行病學與預防醫學研究所
103
Background Elucidating multi-state disease natural history is of paramount importance for the identification of subjects at greater risk for disease progression, the determination of appropriate inter-screening intervals, and the evaluation of efficacy of interventions such as population-based screening program. While the application of stochastic models to estimate the force of multi-state disease progression using data on population-based screening program is well developed, the collection of such big data is quite costly. Moreover, it is often not feasible to accrue costly biomarkers such as genetic determinants based on the whole target population to quantify their roles played in the identification of subject at increased risk for disease progression. The application of case-cohort design is an alternative solution to address this issue with efficiency. Objectives The thesis aimed to develop a generalized non-linear regression model for fitting the data obtained from the three-stage design in comparison with the conventional multi-state stochastic model taking the measurement error such as sensitivity into account using data on the population-based fecal immunochemical test (FIT) for colorectal cancer (CRC) screening in Taiwan for the disease natural history for CRC and the sensitivity of FIT. Methods In the Taiwanese Nationwide Colorectal Cancer Screening Program, residents aged 50 to 69 years w consisting of 1160884 subjects with repeat screen rate of 28.3% were invited to receive a biennial FIT, between January 1, 2004 and December 31, 2009. A total of 2494 and 195 CRCs were detected during the prevalent screen and the subsequent screen, and 694 interval cancers were ascertained. A continuous-time, progressive 3-state Markov model was constructed for estimating the natural history of CRC. We developed a generalized non-linear regression model based on the three-state progression model for the derivation of the force driving the initiation and the progression of disease. A method incorporating both the nature of multistate disease progression and a sampling scheme based on a case-cohort design to utilize the data with efficiency was developed. The performance of the proposed method compared that of full data using a range of sampling proportions for the states of disease progression was then explored. Results Applying the generalized non-linear regression model to the full data, the estimated annual rate of CRC preclinical detectable phase (PCDP) incidence was 75 per 105 (95% CI: 58-92 per 10¬5) and that for PCDP progress was 0.31 (95% CI: 0.23-0.40) yielding a mean sojourn time (MST) for 3.23 years (95% CI: 2.5-4.35 years). The MST was around 3.2-4.3 years and the test sensitivity was 78-82% after fitting the data. The model considering measurement error and the effect covariates (sex and age) on PCDP incidence rate give the estimated hazard ratio for male and the elders (older than 60 years) of 1.65 (95% CI: 1.31-2.08) and 2.05 (95% CI: 1.61-2.64) and the sensitivity was estimated at 80% (95% CI: 74-84%). Applying the proposed algorithm for two-stage sampling scheme to the data derived by a series of sampling ratio using the covariate of sex and age demonstrated the influence of the reduction in sample size in terms of screen detected cancers and interval cancers. Conclusion A novel algorithm with a two-stage sampling design was developed to efficiently estimate the multistate outcome of the disease natural history and assess the effect of covariates on stage-specific transition rates. This new algorithm has been well demonstrated by using Taiwanese nationwide colorectal cancer screening program and can be easily extended to assess the causal effect of certain costly biomarkers on stage-specific transition on the basis of such a large population-based screened cohort.
JI, PEI-YU y 紀佩妤. "A Study on Variance of Estimation under Stratified Multi-Stage Cluster Sampling Designs". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/37956788696388705374.
Texto completo國立臺北大學
統計學系
104
In most of the Sampling Survey textbooks, the discussion of variance of estimation only upto stratified sampling, cluster sampling, two-stage cluster sampling, etc.Cochran (1977) provided the formula of variance estimation of unbiased estimator under tow- three-stage sampling procedure. In this study we used the longitudinal data collected by PSFD in 1999 to explore the effect of variance estimations of three estimator under multi-stage sampling procedure.The PSFD data set in 1999, were sampling under 9 stratified areas and each area were sampling by tree-stage cluster sampling design.The population information used the single-age population statistics published by Ministry of the Interior in 1998.
YAN, SIN-JHE y 顏新哲. "A Study on Variance of Estimation under Stratified Multi-Stage Cluster Sampling Designs data with multiple frame and raking". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/cw3b42.
Texto completo國立臺北大學
統計學系
105
In order to have a more complete sample, according to Bankier (1986), The Panel Study of Family Dynamics (PSFD) project of Research Center for Humanities and Social Sciences was integrated by multiple frame. The sample data is RI1999 and RI2000 and RI2003 were the first surveys in the first wave in 1999, the first survey of the second wave in 2000, the third survey of the third wave in 2003. The three surveys cover all age ranges in the major sample of Panel Study of Family Dynamics (PSFD) project. This study integrated the three wave samples mentioned in the PSFD with multiple frame. The merged samples are weightd with Raking so that the structure of sample will be consistent with the structure of the population. After that, we will calculate the variance of parameter estimatior with Stratified Multi-Stage Cluster Sampling. In the calculation process, the required population data is the Department of Household Registration, MOIROC. This study is based on stratified multi-stage cluster sampling. The current statistical package, such as SAS, should not be directly applied. This study also suggests applying sample data of PSFD to proc surveymeans and comparing it with theoretical variance.
Libros sobre el tema "Stage sampling Design"
Lesser, Virginia M. A comparison of periodic survey designs employing multi-stage sampling. Chapel Hill, N.C: Dept. of Biostatistics, Univ. of North Carolina at Chapel Hill, 1992.
Buscar texto completoPustovaya, Larisa y Besik Meshi. Methods and devices of environmental control. Environmental monitoring. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1058966.
Texto completoHankin, David, Michael S. Mohr y Kenneth B. Newman. Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.001.0001.
Texto completoHalperin, Sandra y Oliver Heath. 11. Surveys. Oxford University Press, 2017. http://dx.doi.org/10.1093/hepl/9780198702740.003.0011.
Texto completoBisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.
Texto completoLynch, David K., Kenneth Sassen, David O'C Starr y Graeme Stephens, eds. Cirrus. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195130720.001.0001.
Texto completoCapítulos de libros sobre el tema "Stage sampling Design"
Kumar, M. "Optimal Design of Reliability Acceptance Sampling Plans for Multi-stage Production Process". En Springer Series in Reliability Engineering, 123–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93623-5_7.
Texto completoLin, Yu, Athon Zanikopoulos, Kostas Doris, Hans Hegt y Arthur H. M. van Roermund. "A Power-Optimized High-Speed and High-Resolution Pipeline ADC with a Parallel Sampling First Stage for Broadband Multi-Carrier Systems". En Design, Modeling and Testing of Data Converters, 3–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39655-7_1.
Texto completoDiestmann, Thomas, Nils Broedling, Benedict Götz y Tobias Melz. "Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair". En Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.
Texto completoCastillo-Santiago, Miguel Ángel, Edith Mondragón-Vázquez y Roberto Domínguez-Vera. "Sample Data for Thematic Accuracy Assessment in QGIS". En Land Use Cover Datasets and Validation Tools, 85–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_6.
Texto completoEngel, Uwe y Lena Dahlhaus. "The Bremen AI Delphi Study". En Robots in Care and Everyday Life, 49–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11447-2_3.
Texto completoHankin, David G., Michael S. Mohr y Ken B. Newman. "Multi-stage sampling". En Sampling Theory, 173–99. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.003.0009.
Texto completoDunn, Graham. "Statistics and the design of experiments and surveys". En New Oxford Textbook of Psychiatry, 137–43. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199696758.003.0017.
Texto completo"Self-weighting Designs in Multi-stage Sampling". En Practical Sampling Techniques, 335–40. CRC Press, 1995. http://dx.doi.org/10.1201/9781482273465-32.
Texto completoGedikli, Erman y Yeter Demir Uslu. "Strategic Pathway Determination for a State Hospital in Terms of an Integrated Facility Management System". En Advances in Healthcare Information Systems and Administration, 404–38. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8103-5.ch024.
Texto completo"Self-weighting Designs in Stratified Single-stage Sampling". En Practical Sampling Techniques, 257–60. CRC Press, 1995. http://dx.doi.org/10.1201/9781482273465-26.
Texto completoActas de conferencias sobre el tema "Stage sampling Design"
Manjunatha, Hemanth, Jida Huang, Binbin Zhang y Rahul Rai. "A Sequential Sampling Algorithm for Multi-Stage Static Coverage Problems". En ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60305.
Texto completovan Beek, Anton, Siyu Tao y Wei Chen. "Global Emulation Through Normative Decision Making and Thrifty Adaptive Batch Sampling". En ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98223.
Texto completoAjorlou, S. y A. Ajorlou. "A fuzzy-based design procedure for a single-stage sampling plan". En 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277316.
Texto completoBarrak, Rim, Adel Ghazel y Fadhel Ghannouchi. "Design of Sampling-Based Downconversion Stage for Multistandard RF Subsampling Receiver". En 2006 13th IEEE International Conference on Electronics, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icecs.2006.379854.
Texto completoXie, Qixu, Zhichao Li y Guoyong Shi. "Design Space Exploration of Multi-Stage Op Amps by Symbolic Modeling and gm/ID Sampling". En 2023 International Symposium of Electronics Design Automation (ISEDA). IEEE, 2023. http://dx.doi.org/10.1109/iseda59274.2023.10218716.
Texto completoJin, Ruichen, Wei Chen y Agus Sudjianto. "On Sequential Sampling for Global Metamodeling in Engineering Design". En ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dac-34092.
Texto completoMalik, Ariff Md Ab, Masri Ayob y Abdul Razak Hamdan. "Stratified random sampling technique for integrated two-stage multi-neighbourhood tabu search for examination timetabling problem". En 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687093.
Texto completoIsa, Erkan Nevzat, Dominique Morche y Catherine Dehollain. "Optimal design of a multiplying D/A converter stage with time-shifted correlated double sampling". En 2010 8th IEEE International NEWCAS Conference (NEWCAS). IEEE, 2010. http://dx.doi.org/10.1109/newcas.2010.5604013.
Texto completoZhang, Siliang, Ping Zhu, Paul D. Arendt y Wei Chen. "Extended Objective-Oriented Sequential Sampling Method for Robust Design of Complex Systems Against Design Uncertainty". En ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70799.
Texto completoRomero, David A., Cristina H. Amon y Susan Finger. "On Adaptive Sampling for Single and Multi-Response Bayesian Surrogate Models". En ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99210.
Texto completoInformes sobre el tema "Stage sampling Design"
Sniedze-Gregory, Shani, Rachel Felgate, Elizabeth O'Grady, Sarah Buckley y Petra Lietz. What Australian students say about transition to secondary school. Final report. Australian Council for Educational Research, noviembre de 2021. http://dx.doi.org/10.37517/978-1-74286-644-4.
Texto completoWeissinger, Rebecca, Mary Moran, Steve Monroe y Helen Thomas. Springs and seeps monitoring protocol for park units in the Northern Colorado Plateau Network, Version 1.1. National Park Service, junio de 2023. http://dx.doi.org/10.36967/2299467.
Texto completoGeorge. PR-015-10600-R01 Proposed Sampling Methods for Supercritical Natural Gas Streams. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), julio de 2010. http://dx.doi.org/10.55274/r0010981.
Texto completoHarter, Rachel M., Joseph P. McMichael, Derick S. Brown, Ashley Amaya, Trent D. Buskirk y David Malarek. Telephone Appends for Address-Based Samples— An Introduction. RTI Press, febrero de 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0050.1802.
Texto completoZimmerman, Ephraim y Staphanie Perles. Vegetation monitoring in relation to white-tailed deer browsing in First State National Historical Park: 2021 summary report. National Park Service, julio de 2023. http://dx.doi.org/10.36967/2299655.
Texto completoKull, Kathleen, Craig Young, Jennifer Haack-Gaynor, Lloyd Morrison y Michael DeBacker. Problematic plant monitoring protocol for the Heartland Inventory and Monitoring Network: Narrative, version 2.0. National Park Service, mayo de 2022. http://dx.doi.org/10.36967/nrr-2293355.
Texto completoWells, Aaron, Tracy Christopherson, Gerald Frost, Matthew Macander, Susan Ives, Robert McNown y Erin Johnson. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, septiembre de 2021. http://dx.doi.org/10.36967/nrr-2287466.
Texto completoLeis, Sherry. Vegetation community monitoring trends in restored tallgrass prairie at Wilson’s Creek National Battlefield: 2008–2020. National Park Service, abril de 2022. http://dx.doi.org/10.36967/nrr-2293117.
Texto completoDesiderati, Christopher. Carli Creek Regional Water Quality Project: Assessing Water Quality Improvement at an Urban Stormwater Constructed Wetland. Portland State University, 2022. http://dx.doi.org/10.15760/mem.78.
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