Results 61 to 70 of about 3,223,931 (336)
Confidence and Uncertainty Assessment for Distributional Random Forests
ISSN:1532 ...
Näf, Jeffrey +3 more
openaire +2 more sources
Micro-organism distribution sampling for bioassays [PDF]
Purpose of sampling distribution is to characterize sample-to-sample variation so statistical tests may be applied, to estimate error due to sampling (confidence limits) and to evaluate observed differences between samples. Distribution could be used for
Nelson, B. A.
core +1 more source
B‐cell chronic lymphocytic leukemia (B‐CLL) and monoclonal B‐cell lymphocytosis (MBL) show altered proteomes and phosphoproteomes, analyzed using mass spectrometry, protein microarrays, and western blotting. Identifying 2970 proteins and 316 phosphoproteins, including 55 novel phosphopeptides, we reveal BCR and NF‐kβ/STAT3 signaling in disease ...
Paula Díez +17 more
wiley +1 more source
La construcción de intervalos de confianza para la estimación del parámetro π, de la distribución binomial, es un problema importante en el trabajo estadístico aplicado.
Correa M. Juan, Sierra L. Esperanza
doaj
Some asymptotic results for fiducial and confidence distributions [PDF]
Under standard regularity assumptions, we provide simple approximations for specific classes of fiducial and confidence distributions and discuss their connections with objective Bayesian posteriors. For a real parameter the approximations are accurate at least to order O(1/n).
Veronese, Piero, Melilli, Eugenio
openaire +4 more sources
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
The general case of determining of probability of hit by a given section of a random variable subordinated to the composition of normal and uniform distribution laws having arbitrary distribution centers is considered. A technique for confidence interval
E. L. Kreidik
doaj
Estimating the turning point location in shifted exponential model of time series
We consider the distribution of the turning point location of time series modeled as the sum of deterministic trend plus random noise. If the variables are modeled by shifted exponentials, whose location parameters define the trend, we provide a formula ...
Cammarota, Camillo
core +1 more source
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
Edgeworth and Cornish Fisher expansions and confidence intervals for the distribution, density and
We show that kernel density estimates of bandwidth h=h(n)→0 satisfy the Cornish-Fisher assumption with parameter m=nh. This allows Cornish-Fisher expansions about the normal for standardized and Studentized kernel density estimates.
Christopher S. Withers +1 more
doaj +1 more source

