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ANALYSIS OF BIVARIATE DICHOTOMOUS DATA FROM A STRATIFIED 2-STAGE CLUSTER SAMPLE
(Marcel Dekker IncNew York, 1992)
Extraction of building roof planes with stratified random sample consensus
(2018-09-01)
This paper describes a consensus-set estimation for building roof-plane detection using a stratified random sample consensus (sRANSAC) algorithm applied to point clouds acquired by laser scanning systems. The main idea is ...
A new methodology to reduce uncertainties in reservoir simulation models using observed data and sampling techniques
(Elsevier Science BvAmsterdamHolanda, 2010)
H-2 And H-infinity Control Of Time-varying Delay Switched Linear Systems With Application To Sampled-data Control
(Elsevier SCI LTDOxford, 2016)
Toward a new data standard for combined marine biological and environmental datasets - expanding OBIS beyond species occurrences
(Pensoft Publishers, 2017-01-09)
The Ocean Biogeographic Information System (OBIS) is the world's most comprehensive online, open-access database of marine species distributions. OBIS grows with millions of new species observations every year. Contributions ...
Validation of a sampling plan to generate food composition data
(Elsevier, 2016-02)
A methodology to develop systematic plans for food sampling was proposed. Long life whole and skimmed milk, and sunflower oil were selected to validate the methodology in Argentina. Fatty acid profile in all foods, proximal ...
Model for distributions and correlation structure of multivariate polytomous data from a two-stage cluster sample
(Marcel Dekker IncNew York, 1996)
A new modeling strategy for third-order fast high-performance liquid chromatographic data with fluorescence detection: Quantitation of fluoroquinolones in water samples
(Springer Heidelberg, 2015-02)
Matrix augmentation is regularly employed in extended multivariate curve resolution-alternating least-squares (MCR-ALS), as applied to analytical calibration based on second- and third-order data. However, this highly ...
SADIRE: a context-preserving sampling technique for dimensionality reduction visualizations
(Springer, 2020-07-30)
Sampling techniques are widely used in the effort to reduce complexity and improve interpretability of datasets. Given the enormous availability of data, these techniques try to select representative data points that ...