The efficiency of Monte Carlo simulations is significantly improved when implemented with variance reduction methods. Among these methods, we focus on the popular importance sampling technique based ...
If no other sources are available to measure certain variables of a target population, Statistics Netherlands often uses a random sample, i.e. a sample of units from the population drawn in accordance ...
Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...
Information on Earth's biodiversity is increasingly collected using DNA-, image- and audio-based sampling. At the same time, ...
Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on ...
A graphical procedure is given to evaluate the sample size for which confidence intervals of specified lengths, for the parameters of the multinomial distribution, are simultaneously verified at a ...
AZoLifeSciences on MSN
Advanced Statistical Method Reduces Noise in Single-Cell RNA-Sequencing Data
The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular ...
The analysis here of the general election 2019 is based on a nationwide post-poll survey (The National Election Study 2019) conducted by the Lokniti programme of the Centre for the Study of Developing ...
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