Results 221 to 230 of about 4,194,931 (278)

A Century of Shifting Native Species-Accumulation Curves Reveals Long-Term Biodiversity Loss. [PDF]

Ecol Lett
Pan K, Marshall L, Biesmeijer JC, de Snoo GR.   +3 more
europepmc   +1 more source

Ensemble clustering: A practical tutorial. [PDF]

Behav Res Methods
Gao CX, Wang S, Zhu Y, Ziou M, Teo SM, Smith CL, Chiu D, Talhouk A, Wang M, Yu W, Cotton SM, Dwyer D.   +11 more
europepmc   +1 more source

Genomic characterization and evolutionary dynamics of human adenovirus C (HAdV-C) in Beijing (2023-2024): insights into multiple recombination and adaptive evolution. [PDF]

Virus Evol
Wu C, Mai C, Zhao Z, Zhang S, Ma L, Ye F, Huo W, Chen Y, Luo M, Yang X, Wang W, Huang J, Tan W.   +12 more
europepmc   +1 more source

Bayesian Response-Adaptive Randomization for Cluster Randomized Controlled Trials. [PDF]

Stat Med
Liu Y, Young Karris M, Jain S.
europepmc   +1 more source

Hybrid fuzzy clustering with Golden Eagle Optimization Algorithm for fault tolerant load balancing in fog computing environment. [PDF]

Sci Rep
Kaur H, Malik S, Baggan V, Harnal S, Tyagi N.   +4 more
europepmc   +1 more source

Three-dimensional animation compression optimization based on structured processing and adaptive spatiotemporal segmentation algorithm. [PDF]

PLoS One
Wang X, Yan X, Liu B, Liu K, Su Y.
europepmc   +1 more source

Spatial Resampling Obscures Temporal Change in Malaria Prevalence: Evidence from Simulated Malaria Indicator Surveys

Kamwezi R, Mategula D, Chipeta MG, Stanton M.   +3 more
europepmc   +1 more source

Pathway representation <i>via</i> intrinsic structural medoids (PRISM): a structural mapping approach to clustering molecular pathways.

Digit Discov
Woody Santos JB, Leung JMG, Chong LT, Miranda-Quintana RA.   +3 more
europepmc   +1 more source

Adaptive cluster double sampling

Biometrika, 2004
Summary: We present a multi-phase variant of adaptive cluster sampling which allows the sampler to control the number of measurements of the variable of interest. A first-phase sample is selected using an adaptive cluster sampling design based on an inexpensive auxiliary variable associated with the survey variable.
Félix-Medina, Martín H., Thompson, Steven K.   +1 more
openaire   +3 more sources

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Adaptive Cluster Sampling

Journal of the American Statistical Association, 1990
Abstract In many real-world sampling situations, researchers would like to be able to adaptively increase sampling effort in the vicinity of observed values that are high or otherwise interesting. This article describes sampling designs in which, whenever an observed value of a selected unit satisfies a condition of interest, additional units are added
Steven K Thompson
exaly   +2 more sources