Results 31 to 40 of about 1,085,486 (259)
Teaching Stats for Data Science [PDF]
“Data science” is a useful catchword for methods and concepts original to the field of statistics, but typically being applied to large, multivariate, observational records.
Kaplan, Daniel
core +2 more sources
The use of multivariate statistics methods in biological research
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article Editorial
doaj
Integrated Sensor System for Condition Monitoring of Electromechanical Cylinders
In this work, a sensor system mechanically integrated in an electromechanical cylinder is presented with the goal of measuring relevant quantities for condition monitoring. The system monitors those parts of the cylinder which are mainly affected by wear
Nikolai Helwig +3 more
doaj +1 more source
MERCURY IN THE SEDIMENT OF PELOTAS RIVER BASIN, BRAZIL [PDF]
Many studies have determined the concentration of trace elements in river sediments in Brazil. Notwithstanding, mercury assessments are scarce, especially because of exclusive extraction techniques and expensive analysis techniques.
Marcelo B. Remor +4 more
doaj +1 more source
Application of Random Matrix Theory to Multivariate Statistics
This is an expository account of the edge eigenvalue distributions in random matrix theory and their application in multivariate statistics.
Dieng, Momar, Tracy, Craig A.
core +1 more source
The explosion of different fault detection (FD) statistics in multivariate statistics-based FD approaches has meant that the practitioner is faced with the unenviable job of determining which to use in a given circumstance.
Kai Zhang +2 more
doaj +1 more source
Background Inflammation appears to be an important component of concussion pathophysiology. However, its relationship to symptom burden is unclear. Therefore, the purpose of this study was to evaluate the relationship between symptoms and inflammatory ...
Alex P. Di Battista +4 more
doaj +1 more source
We obtain two theorems extending the use of a saddlepoint approximation to multiparameter problems for likelihood ratio-like statistics which allow their use in permutation and rank tests and could be used in bootstrap approximations.
Kolassa, John, Robinson, John
core +1 more source
False discovery rate control with multivariate $p$-values
Multivariate statistics are often available as well as necessary in hypothesis tests. We study how to use such statistics to control not only false discovery rate (FDR) but also positive FDR (pFDR) with good power.
Chi, Zhiyi
core +2 more sources
Next‐generation proteomics improves lung cancer risk prediction
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source

