Relevant bibliographies by topics / Stratified population

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  1. Journal articles

Academic literature on the topic 'Stratified population'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Stratified population"

1

Royle, J. Andrew, and Sarah J. Converse. "Hierarchical spatial capture-recapture models: modelling population density in stratified populations." Methods in Ecology and Evolution 5, no. 1 (2013): 37–43. http://dx.doi.org/10.1111/2041-210x.12135.

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2

Guo, Zhigang, Dominic M. Tucker, Christopher J. Basten, et al. "The impact of population structure on genomic prediction in stratified populations." Theoretical and Applied Genetics 127, no. 3 (2014): 749–62. http://dx.doi.org/10.1007/s00122-013-2255-x.

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3

Hasler, Caren, and Yves Tillé. "Fast balanced sampling for highly stratified population." Computational Statistics & Data Analysis 74 (June 2014): 81–94. http://dx.doi.org/10.1016/j.csda.2013.12.005.

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4

Ivchenko, G. I. "Parameter estimation for a stratified finite population." Journal of Soviet Mathematics 53, no. 6 (1991): 552–54. http://dx.doi.org/10.1007/bf01095357.

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5

Ruiz Espejo, Mariano, Housila P. Singh, Miguel Delgado Pineda, and Saralees Nadarajah. "Optimal estimation of population variance using equilibrated stratified sampling from infinite populations." Journal of the Korean Statistical Society 37, no. 4 (2008): 375–83. http://dx.doi.org/10.1016/j.jkss.2008.04.001.

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6

SAI, Shido. "Confidence Intervals for Population Mean under Stratified Sampling." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 23, no. 2 (1996): 104–21. http://dx.doi.org/10.2333/jbhmk.23.104.

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7

Major, Tamás, Réka Gindele, Zsuzsanna Szabó, et al. "The Stratified Population Screening of Hereditary Hemorrhagic Telangiectasia." Pathology & Oncology Research 26, no. 4 (2019): 2783–88. http://dx.doi.org/10.1007/s12253-019-00602-7.

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8

Yasmeen, Uzma, Muhammad Noor-ul-Amin, and Muhammad Hanif. "Variance estimation in stratified adaptive cluster sampling." Statistics in Transition New Series 23, no. 1 (2022): 173–84. http://dx.doi.org/10.2478/stattrans-2022-0010.

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Abstract:
Abstract In many sampling surveys, the use of auxiliary information at either the design or estimation stage, or at both these stages is usual practice. Auxiliary information is commonly used to obtain improved designs and to achieve a high level of precision in the estimation of population density. Adaptive cluster sampling (ACS) was proposed to observe rare units with the purpose of obtaining highly precise estimations of rare and specially clustered populations in terms of least variances of the estimators. This sampling design proved to be more precise than its more conventional counterparts, including simple random sampling (SRS), stratified sampling, etc. In this paper, a generalised estimator is anticipated for a finite population variance with the use of information of an auxiliary variable under stratified adaptive cluster sampling (SACS). The bias and mean square error expressions of the recommended estimators are derived up to the first degree of approximation. A simulation study showed that the proposed estimators have the least estimated mean square error under the SACS technique in comparison to variance estimators in stratified sampling.
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9

Walsby, Anthony E. "Determining the photosynthetic productivity of a stratified phytoplankton population." Aquatic Sciences 63, no. 1 (2001): 18–43. http://dx.doi.org/10.1007/pl00022510.

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10

Mukerjee, Rahul, and Sujit K. Basu. "INVERSE SAMPLING FOR DOMAIN ESTIMATION IN A STRATIFIED POPULATION." Australian Journal of Statistics 35, no. 3 (1993): 293–302. http://dx.doi.org/10.1111/j.1467-842x.1993.tb01337.x.

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