Results 61 to 70 of about 14,515,084 (225)
Special section on modern multivariate analysis
A critically challenging problem facing statisticians is the identification of a suitable framework which consolidates data of various types, from different sources, and across different time frames or scales (many of which can be missing), and from ...
Kafadar, Karen
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Spatial modelling for mixed-state observations
In several application fields like daily pluviometry data modelling, or motion analysis from image sequences, observations contain two components of different nature.
Hardouin, Cécile, Yao, Jian-Feng
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Degradation data plays a crucial role in the reliability assessment and condition monitoring of engineering systems. The stage-wise changes in degradation rates often signal turning points in system performance or potential fault risks.
Mei Li, Tian Fu, Qian Li
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We give an expository review of applications of computational algebraic statistics to design and analysis of fractional factorial experiments based on our recent works.
Adams W. W. +19 more
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Extremum statistics: a framework for data analysis [PDF]
Recent work has suggested that in highly correlated systems, such as sandpiles, turbulent fluids, ignited trees in forest fires and magnetization in a ferromagnet close to a critical point, the probability distribution of a global quantity (i.e.
Chapman, Sandra C. +2 more
core
Using Java Technologies in Statistics Applications Data Analysis Graphic Generator [PDF]
This paper proposes an idea for building a Java Application Programming Interface (API) that allows generating statistics graphics used in Data Analysis.
Marian DARDALA, Titus Felix FURTUNA
core
Optimization of clustering parameters for single-cell RNA analysis using intrinsic goodness metrics
IntroductionThe accurate clustering of cell subpopulations is a crucial aspect of single-cell RNA sequencing. The ability to correctly subdivide cell subpopulations hinges on the efficacy of unsupervised clustering.
Nicolina Sciaraffa +4 more
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Statistical Analysis of Metagenomics Data [PDF]
Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases. The development of high-throughput sequencing technologies has boosted microbiome research through the study of microbial genomes and allowing a more precise ...
openaire +3 more sources
A Set of State–Space Models at a High Disaggregation Level to Forecast Italian Industrial Production
Normally, econometric models that forecast the Italian Industrial Production Index do not exploit information already available at time t + 1 for their own main industry groupings. The new strategy proposed here uses state–space models and aggregates the
Riccardo Corradini
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MicroRNA are small non-coding RNAs that post-transcriptionally regulate the expression levels of messenger RNAs. MicroRNA regulation activity depends on the recognition of binding sites located on mRNA molecules.
Giorgio Bertolazzi +3 more
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