Results 21 to 30 of about 6,072 (305)

Uniformly Minimum Variance Unbiased Estimation of Gene Diversity [PDF]

open access: yesJournal of Heredity, 2003
Gene diversity is an important measure of genetic variability in inbred populations. The survival of species in changing environments depends on, among other factors, the genetic variability of the population. In this communication, I have derived the uniformly minimum variance unbiased estimator of gene diversity.
openaire   +2 more sources

COMPARISON OF MINQUE AND SIMPLE ESTIMATOR OF THE ERROR VARIANCE IN THE GAUSS MARKOFF MODEL

open access: yesJournal of Kufa for Mathematics and Computer, 2010
The problem of estimation of variance components occurs in many areas of research. This paper is devoted to study the comparison between Minimum Norm Quadratic Unbiased Estimator (MINQUE) and Ordinary Least Square Estimator (OLSE) of s 2 in the Gauss ...
Abdul-Hussein Saber AL-MOUEL
doaj   +1 more source

Unbiased Estimates with Minimum Variance

open access: yesThe Annals of Mathematical Statistics, 1950
Subject to certain restrictions, a characterization of unbiased estimates with minimum variance is obtained. For two fairly broad classes of problems, solutions are given which are more readily applicable. These are used to obtain such estimates in some particular cases.
openaire   +3 more sources

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham   +21 more
wiley   +1 more source

On Estimation of Reliability Functions using Record values from Proportional Hazard Rate Model

open access: yesAustrian Journal of Statistics, 2019
Two measures of reliability functions, namely R(t)=P(X>t) and P=P ...
Ajit Chaturvedi, Ananya Malhotra
doaj   +1 more source

Estimation of distribution overlap of urn models. [PDF]

open access: yesPLoS ONE, 2012
A classical problem in statistics is estimating the expected coverage of a sample, which has had applications in gene expression, microbial ecology, optimization, and even numismatics.
Jerrad Hampton, Manuel E Lladser
doaj   +1 more source

Mobility State Detection of Cellular-Connected UAVs Based on Handover Count Statistics

open access: yesIEEE Open Journal of Vehicular Technology, 2023
Estimating the speed of aerial user equipment (UE) is critically important to provide reliable mobility management for cellular-connected unmanned aerial vehicles (UAVs) since this can enhance the quality of service.
Md Moin Uddin Chowdhury   +3 more
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

open access: yesMolecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan   +9 more
wiley   +1 more source

Establishment of Preliminary Test Estimators and Preliminary Test Confidence Intervals for Measures of Reliability of an Exponentiated Distribution Based on Type-II Censoring

open access: yesStatistica, 2019
The present paper has developed the preliminary test estimators (PTEs) of the model parameter raised to certain power, σp, and the two measures of reliability, namely, the reliability function, R(t ) and the reliability of an item or a system, P of an ...
Ajit Chaturvedi, Anshika Bhatnagar
doaj   +1 more source

A Robust Solution to Variational Importance Sampling of Minimum Variance

open access: yesEntropy, 2020
Importance sampling is a Monte Carlo method where samples are obtained from an alternative proposal distribution. This can be used to focus the sampling process in the relevant parts of space, thus reducing the variance. Selecting the proposal that leads
Jerónimo Hernández-González   +1 more
doaj   +1 more source

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