Results 1 to 10 of about 1,784,102 (271)
External validity & non-probability sampling.
Indian J Med Res, 2015 Sir, Apropos of the article on determinants of Indian physicians satisfaction and dissatisfaction from their job published recently1, the authors deserve credit for their efforts. As the title and the conclusions suggest, the aim was to study the job satisfaction and dissatisfaction levels among Indian physicians and compare it with levels across ...
Raina SK.
europepmc +3 more sources
On the implementation of maximum entropy sampling with unequal probabilities and without replacement [PDF]
MethodsXSampling with maximum entropy offers robustness to statistical inference based on randomization theory. However, there were no comprehensive, practical guides explaining how to implement maximum entropy sampling for finite populations with unequal ...
Philippe Aubry
doaj +2 more sources
Why weight? Analytic approaches for large-scale population neuroscience data
Developmental Cognitive Neuroscience, 2023 Population-based neuroimaging studies that feature complex sampling designs enable researchers to generalize their results more widely. However, several theoretical and analytical questions pose challenges to researchers interested in these data.
Arianna M. Gard +4 more
doaj +1 more source
Survey Response in RDD-Sampling SMS-Invitation Web-Push Study
Survey Research Methods, 2022 In this study, I tested a fairly new survey data collection approach, using random digit dialing (RDD) selection of mobile phone numbers combined with SMS invitations, with respondents asked to complete the survey online.
Sebastian Kocar
doaj +1 more source
Use of ‘Sampling’ Technique in Urdu Research: An Analysis
دریافت, 2023 Sampling is an important technique used in the modern research in social sciences. The technique covers a large kinds of research with ease. Its main kinds are probability and non-probability sampling, and both are used in research to draw reliable and ...
Dr. Muhammad Hamid, Dr. Salma Aslam
doaj +1 more source
Vaccines, 2022 Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread at a population level and the number of undiagnosed individuals. Repeated cross-sectional sero-studies are encouraged to monitor the spread of the virus.
Faisal Awartani +2 more
doaj +1 more source
Remote Sensing, 2020 The spatial and temporal dynamics of the forest cover can be captured using remote sensing data. Forest masks are a valuable tool to monitor forest characteristics, such as biomass, deforestation, health condition and disturbances. This study was carried
Angel Fernandez-Carrillo +4 more
doaj +1 more source
Goal-oriented adaptive sampling under random field modelling of response probability distributions [PDF]
ESAIM: Proceedings and Surveys, 2021 In the study of natural and artificial complex systems, responses that are not completely determined by the considered decision variables are commonly modelled probabilistically, resulting in response distributions varying across decision space.
Gautier Athénaïs +2 more
doaj +1 more source
Deep Metric Learning Using Negative Sampling Probability Annealing
Sensors, 2022 Multiple studies have concluded that the selection of input samples is key for deep metric learning. For triplet networks, the selection of the anchor, positive, and negative pairs is referred to as triplet mining.
Gábor Kertész
doaj +1 more source
Methodology series module 5: Sampling strategies
Indian Journal of Dermatology, 2016 Once the research question and the research design have been finalised, it is important to select the appropriate sample for the study. The method by which the researcher selects the sample is the 'Sampling Method'.
Maninder Singh Setia
doaj +1 more source