Results 11 to 20 of about 1,784,102 (271)
Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? [PDF]
Journal of Clinical and Diagnostic ResearchDear Editor, We read with great interest the article entitled “Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? A cross-sectional Study” by Shilpi Vashishta et al., published in your esteemed journal (Journal of ...
Avnesh Kumar Singh, Shikha Singh
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SEEU Review, 2022 Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in ...
Rahman Md. Mizanur +4 more
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MODEL PENGELOLAAN PEMBUKAAN LAHAN TANPA BAKAR PADA USAHATANI PADI DIKABUPATEN SANGGAU
Jurnal Agrisep, 2020 The number of hotspots in West Kalimantan in 2018 was 1,075 hotspots. The highest hotspot in West Kalimantan is in Sanggau district which has 200 hotspots on August 15-16, 2018.
Rizky Noviyanti +2 more
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IEEE Access, 2019 Complementing missing information and priority vector are of significance important aspects in group decision making (GDM) with incomplete hesitant fuzzy linguistic preference relations (HFLPRs).
Peng Wu +3 more
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ROTATION MATRIX SAMPLING SCHEME FOR MULTIDIMENSIONAL PROBABILITY DISTRIBUTION TRANSFER [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This paper address the problem of rotation matrix sampling used for multidimensional probability distribution transfer. The distribution transfer has many applications in remote sensing and image processing such as color adjustment for image mosaicing ...
P. Srestasathiern +3 more
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Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling
Mathematics, 2023 Evaluating the failure probability of a system is essential in order to assess its reliability. This probability may significantly depend on deterministic parameters such as distribution parameters or design parameters.
Marie Chiron +2 more
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Probability-Sampling Approach to Editing
Austrian Journal of Statistics, 2016 Editing for measurement errors is always part of data processing. In traditional editing, all data records are checked for errors and inconsistencies. In a new way of editing, only the subset with the most important erroneous responses is considered for ...
Maiki Ilves, Thomas Laitila
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Bayesian probability updates using sampling/importance resampling: Applications in nuclear theory
Frontiers in Physics, 2022 We review an established Bayesian sampling method called sampling/importance resampling and highlight situations in nuclear theory when it can be particularly useful.
Weiguang Jiang, Christian Forssén
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Determination of Sample Size and Observation Units
International Journal of Assessment Tools in Education, 2019 The purpose of this study was to write programsto define sampling sizes and observation units by probability sampling methodsand to provide an idea for software developers. Thealgorithms of the programs were written in Python 3.
Tülin Acar
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Importance Sampling for multi-constraints rare event probability [PDF]
, 2014 Improving Importance Sampling estimators for rare event probabilities requires sharp approx- imations of the optimal density leading to a nearly zero-variance estimator.
J.A. Bucklew +8 more
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