Yıl: 2020 Cilt: 33 Sayı: 1 Sayfa Aralığı: 229 - 236 Metin Dili: İngilizce DOI: 10.35378/gujs.554644 İndeks Tarihi: 11-10-2020

A New Proposed Estimator for Reducing Bias Due to Undetected Species

Öz:
The present paper addresses a new approach to reduce bias when there are undetected species in a plot. Partially density matrix plays essential role in this new proposed estimator. The performance of the new proposed estimator (𝐻̂𝑂) was compared to bias-corrected MLE (MLEBC), Jackknife (JK) and the proposed estimator of Chao and Shen (𝐻̂𝐶𝑆) using Principle component analysis (PCA). According to the result of the first PCA applied to the data including the estimators’ values of the assemblages, 𝐻̂𝑂 is located between JK and 𝐻̂𝐶𝑆 and its’ nearest neighbor becomes JK. The second PCA was applied to the data belonging to the relative estimator values between the pairwise assemblages and, it was found that 𝐻̂𝑂 is still located between JK and 𝐻̂𝐶𝑆 but its’ nearest neighbor becomes 𝐻̂𝐶𝑆 along the first axis at this time. Those results indicated that 𝐻̂𝑂 is a better estimator than MLEBC. Thus the new proposed estimator (𝐻̂𝑂) may also be used as an alternative bias-corrected estimator in addition to the other estimators.
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APA ÖZKAN K (2020). A New Proposed Estimator for Reducing Bias Due to Undetected Species. , 229 - 236. 10.35378/gujs.554644
Chicago ÖZKAN Kürşad A New Proposed Estimator for Reducing Bias Due to Undetected Species. (2020): 229 - 236. 10.35378/gujs.554644
MLA ÖZKAN Kürşad A New Proposed Estimator for Reducing Bias Due to Undetected Species. , 2020, ss.229 - 236. 10.35378/gujs.554644
AMA ÖZKAN K A New Proposed Estimator for Reducing Bias Due to Undetected Species. . 2020; 229 - 236. 10.35378/gujs.554644
Vancouver ÖZKAN K A New Proposed Estimator for Reducing Bias Due to Undetected Species. . 2020; 229 - 236. 10.35378/gujs.554644
IEEE ÖZKAN K "A New Proposed Estimator for Reducing Bias Due to Undetected Species." , ss.229 - 236, 2020. 10.35378/gujs.554644
ISNAD ÖZKAN, Kürşad. "A New Proposed Estimator for Reducing Bias Due to Undetected Species". (2020), 229-236. https://doi.org/10.35378/gujs.554644
APA ÖZKAN K (2020). A New Proposed Estimator for Reducing Bias Due to Undetected Species. Gazi University Journal of Science, 33(1), 229 - 236. 10.35378/gujs.554644
Chicago ÖZKAN Kürşad A New Proposed Estimator for Reducing Bias Due to Undetected Species. Gazi University Journal of Science 33, no.1 (2020): 229 - 236. 10.35378/gujs.554644
MLA ÖZKAN Kürşad A New Proposed Estimator for Reducing Bias Due to Undetected Species. Gazi University Journal of Science, vol.33, no.1, 2020, ss.229 - 236. 10.35378/gujs.554644
AMA ÖZKAN K A New Proposed Estimator for Reducing Bias Due to Undetected Species. Gazi University Journal of Science. 2020; 33(1): 229 - 236. 10.35378/gujs.554644
Vancouver ÖZKAN K A New Proposed Estimator for Reducing Bias Due to Undetected Species. Gazi University Journal of Science. 2020; 33(1): 229 - 236. 10.35378/gujs.554644
IEEE ÖZKAN K "A New Proposed Estimator for Reducing Bias Due to Undetected Species." Gazi University Journal of Science, 33, ss.229 - 236, 2020. 10.35378/gujs.554644
ISNAD ÖZKAN, Kürşad. "A New Proposed Estimator for Reducing Bias Due to Undetected Species". Gazi University Journal of Science 33/1 (2020), 229-236. https://doi.org/10.35378/gujs.554644