Results 21 to 30 of about 10,174,330 (293)
Statistical methods in cosmology
The advent of large data-set in cosmology has meant that in the past 10 or 20 years our knowledge and understanding of the Universe has changed not only quantitatively but also, and most importantly, qualitatively.
A. F. Heavens +25 more
core +1 more source
Statistical Methods in Anthropology
IN their interesting letter in Nature1 on statistical methods in anthropology, Dr. J. Bronowski and Mr. W. M. Long suggest that the reason why Prof. Zuckerman's findings were at odds with those based on classical comparisons was that he had compared each measurement separately instead of using the comprehensive test provided by the discriminant ...
Yates, F., Healy, M. J. R.
openaire +2 more sources
Quantifying statistical uncertainty in the attribution of human influence on severe weather [PDF]
Event attribution in the context of climate change seeks to understand the role of anthropogenic greenhouse gas emissions on extreme weather events, either specific events or classes of events.
Paciorek, Christopher J. +2 more
core +4 more sources
IntroductionAssessment of public awareness on antibiotic use and resistance can identify key issues for campaigns addressing these problems. Our aim was to assess the knowledge, attitudes, and practice (KAP) related to antibiotic use and multi-drug ...
Heike Raupach-Rosin +8 more
doaj +1 more source
New Results Regarding the Construction Method for D‑optimal Chemical Balance Weighing Designs
We study an experiment in which we determine unknown measurements of p objects in n weighing operations according to the model of the chemical balance weighing design. We determine a design which is D‑optimal. For the construction of the D‑optimal design,
Bronisław Ceranka, Małgorzata Graczyk
doaj +1 more source
Efficient Genomic Prediction of Yield and Dry Matter in Hybrid Potato
There is an ongoing endeavor within the potato breeding sector to rapidly adapt potato from a clonal polyploid crop to a diploid hybrid potato crop.
James Adams +2 more
doaj +1 more source
Background Myocardial infarction (MI) is a leading cause of death globally, with ischemic heart disease (IHD) accounting for 9.1 million deaths in 2019.
Bukomeko Javila +4 more
doaj +1 more source
Nonparametric Statistical Methods
Nonparametric methods are appropriate when certain assumptions about distributions that common parametric methods make are questionable. In this entry, we review nonparametric statistical tests based on exact or simulated sampling distributions. We also discuss methods for nonparametric data exploration and nonparametric regression and we explain ...
Sijtsma, K., Emons, W.H.M.
openaire +3 more sources
Using simulation studies to evaluate statistical methods [PDF]
Simulation studies are computer experiments that involve creating data by pseudorandom sampling. The key strength of simulation studies is the ability to understand the behaviour of statistical methods because some 'truth' (usually some parameter/s of ...
Chang M +5 more
core +2 more sources
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar +8 more
wiley +1 more source

