Academic literature on the topic 'Post-Stratified Sampling'

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Journal articles on the topic "Post-Stratified Sampling"

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Ozturk, Omer. "Post-stratified Probability-Proportional-to-Size Sampling from Stratified Populations." Journal of Agricultural, Biological and Environmental Statistics 24, no. 4 (2019): 693–718. http://dx.doi.org/10.1007/s13253-019-00370-6.

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Gregoire, Timothy G., Anna H. Ringvall, Göran Ståhl, and Erik Næsset. "Conditioning post-stratified inference following two-stage, equal-probability sampling." Environmental and Ecological Statistics 23, no. 1 (2015): 141–54. http://dx.doi.org/10.1007/s10651-015-0332-9.

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Onyeka, Aloy Chijioke, Chinyeaka Hostensia Izunobi, and Iheanyi Sylvester Iwueze. "Estimation of Population Ratio in Post-Stratified Sampling Using Variable Transformation." Open Journal of Statistics 05, no. 01 (2015): 1–9. http://dx.doi.org/10.4236/ojs.2015.51001.

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Najafi Majid Abadi, Ali, and Nader Nematollahi. "The Population Mean Estimators by using Judgment Post Stratification in Stratified Sampling." Journal of Statistical Sciences 14, no. 2 (2021): 0. http://dx.doi.org/10.29252/jss.14.2.8.

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Ozturk, Omer. "Combining ranking information in judgment post stratified and ranked set sampling designs." Environmental and Ecological Statistics 19, no. 1 (2011): 73–93. http://dx.doi.org/10.1007/s10651-011-0175-y.

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Onyeka, Aloy Chijioke, Chinyeaka Hostensia Izunobi, and Iheanyi Sylvester Iwueze. "Separate-Type Estimators for Estimating Population Ratio in Post-Stratified Sampling Using Variable Transformation." Open Journal of Statistics 05, no. 01 (2015): 27–34. http://dx.doi.org/10.4236/ojs.2015.51004.

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Strîmbu, Victor Felix, Liviu Theodor Ene, Terje Gobakken, Timothy G. Gregoire, Rasmus Astrup, and Erik Næsset. "Post-stratified change estimation for large-area forest biomass using repeated ALS strip sampling." Canadian Journal of Forest Research 47, no. 6 (2017): 839–47. http://dx.doi.org/10.1139/cjfr-2017-0031.

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Post-stratified model-assisted (MA) and hybrid (HY) estimators are used with repeated airborne laser scanning (ALS) strip sampling and national forest inventory field data for stratum-wise and overall estimation of aboveground biomass (AGB) stock and change. The study area covered the southern portion of the Hedmark County in Norway. Both MA and HY estimation substantially reduced the uncertainty in AGB change when compared with estimation using the field survey only. Relative efficiencies (relative variance) of 4.15 (MA) and 3.36 (HY) for overall estimates were found. The results suggest the
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Frank, Bryce, and Vicente J. Monleon. "Comparison of Variance Estimators for Systematic Environmental Sample Surveys: Considerations for Post-Stratified Estimation." Forests 12, no. 6 (2021): 772. http://dx.doi.org/10.3390/f12060772.

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The estimation of the sampling variance of point estimators under two-dimensional systematic sampling designs remains a challenge, and several alternative variance estimators have been proposed in the past few decades. In this work, we compared six alternative variance estimators under Horvitz-Thompson (HT) and post-stratification (PS) point estimation regimes. We subsampled a multitude of species-specific forest attributes from a large, spatially balanced national forest inventory to compare the variance estimators. A variance estimator that assumes a simple random sampling design exhibited p
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Wannapong, Jittranon, and Supunnee Ungpansattawong. "An improved estimator of population mean using dual to ratio-cum-product for post-stratified sampling." Journal of Applied Science 17, no. 2 (2018): 98–117. http://dx.doi.org/10.14416/j.appsci.2018.12.001.

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Lessels, J. S., and T. F. A. Bishop. "A post-event stratified random sampling scheme for monitoring event-based water quality using an automatic sampler." Journal of Hydrology 580 (January 2020): 123393. http://dx.doi.org/10.1016/j.jhydrol.2018.12.063.

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Dissertations / Theses on the topic "Post-Stratified Sampling"

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Bedier, Mostafa Abdellatif. "Post stratified estimation using a known auxiliary variable." Thesis, 1989. http://hdl.handle.net/1957/37984.

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Post stratification is considered desirable in sample surveys for two reasons - it reduces the mean squared error when averaged over all possible samples, and it reduces the conditional bias when conditioned on stratum sample sizes. The problem studied in this thesis is post stratified estimation of a finite population mean when there is a known auxiliary variable for each population unit. The primary direction of the thesis follows the lines of Holt and Smith (1979). A method is given for using the auxiliary variable in selection of the stratum boundaries and, using this approach to determine
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Books on the topic "Post-Stratified Sampling"

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Bedier, Mostafa Abdellatif. Post stratified estimation using a known auxiliary variable. Oregon State University, 1989.

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Bedier, Mostafa Abdellatif. Post stratified estimation using a known auxiliary variable. 1989.

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Book chapters on the topic "Post-Stratified Sampling"

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Singh, Sarjinder. "Stratified and Post-Stratified Sampling." In Advanced Sampling Theory with Applications. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-007-0789-4_8.

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Raja Sekar, M., and N. Sandhya. "Mean Estimation Under Post-stratified Cluster Sampling Scheme." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1580-0_27.

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Hankin, David G., Michael S. Mohr, and Ken B. Newman. "Stratified sampling." In Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.003.0005.

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In 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 some units from specific groups of population units will always be included in the sample. Within strata, any unbiased method of selection can be used. If SRS is used within strata, this is a stratified SRS design. Allocation of the total stratified sample of size n across the L strata can affect sampling variance of stratified estimators. Optimal allocation theory shows that optimal stratum-specific sample sizes depend on relative numbers of units in strata, and stratum-specific costs per unit of sampling and variances of y values. An ANOVA sums of squares partition can be used to show that a proportionally allocated stratified SRS strategy will outperform selection of a single SRS with mean-per-unit estimation whenever the average variation within strata is less than the finite population variance. Therefore, it is desirable to minimize variation within strata and maximize the variation in stratum means. For a variety of reasons, post-stratification, in which one large SRS is stratified after the sample has been selected, may often be a good alternative to selection of a (pre-) stratified sample.
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Carvalho, Sandra, Felipe Fregni, and Andre Brunoni. "Study Population." In Critical Thinking in Clinical Research, edited by Rui Nakamura, Faiza Khawaja, Laura Castillo-Saavedra, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199324491.003.0003.

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Chapter 3 discusses the decision-making process of choosing the study population. This is critical given that any study’s main goal is to make inferences that go beyond the individuals under study and can be used to explain the phenomenon in the broader population with shared characteristics or conditions. In this chapter, the definition of the target population is discussed—i.e. the portion of the general population from which a researcher wants to draw robust conclusions or inferences. The sampling process according to the study phase is also summarized, focusing on phase II and III clinical trials, as phase I trials are especially designed to assess safety, while phase IV trials are open-label studies, usually assessing post-marketing safety. The internal and external validity of a study is also discussed, as well as sampling methods, both probabilistic (simple random, systematic, stratified, cluster, or multistage sampling) and non-probabilistic (convenience, consecutive, and snowball sampling).
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Conference papers on the topic "Post-Stratified Sampling"

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Chi, Yuandao, Nagu Daraboina, and Cem Sarica. "Investigation of Thermal Effects on Gas-Oil Stratified Flow Wax Deposition." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18477.

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Abstract Two-phase flow wax deposition is a flow-pattern-dependent phenomenon. The thickness and hardness of the deposit vary along the pipe circumference. In this work, two-phase gas-oil stratified flow wax deposition experiments at various liquid and gas flow rates have been conducted systematically using Garden Banks condensate and natural gas in a 2-inch I.D. multiphase flow loop under the pressure of 350 psi. Both deposit mass and wax content increased as superficial gas and liquid velocities increased. The local deposits were observed to be thinner but harder at the sides compared to the
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Chasanah, Eka Siti, Endang Sutisna Sulaeman, and etyo Sri Rahardjo. "Factors Affecting the Performance of Community Health Workers at the Integrated Non Communicable Disease Health Post in Karanganyar, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.45.

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ABSTRACT Background: Health workers (cadre) play role in controlling non-communicable disease by promoting people to participate in any integrated health posts (posbindu) activities. This study aimed to examine factors affecting the performance of community health workers at the integrated non communicable disease health post in Karanganyar, Central Java. Subjects and Method: A cross sectional study was carried out at 25 integrated health posts (posbindu) in Karanganyar, Central Java. A sample of 200 cadres was selected by stratified random sampling. The dependent variables were cadre performa
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Kurniavie, Lidia Ekiq, and Bhisma Murti. "The Effect of Activity Level of the Integrated Health Post on the Community Health Workers Performance on Child Growth And Development Health Services: A Multilevel Analysis." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.04.36.

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ABSTRACT Background: Government support has a role in increasing health program development. Cadre performance is important because they are responsible for implementing the integrated health posts (posyandu) program, especially in monitoring the growth and development of children under five. This study aimed to examine the effect of activity level of the integrated health post on the community health workers performance on child growth and development health services Subjects and Method: A cross-sectional study was conducted at 25 posyandus in Karanganyar, Central Java, from August to Septemb
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