Results 71 to 80 of about 1,457,940 (269)
In this study, we proposed novel estimators for finite population variance based on the raw moments of the study and auxiliary variables. Specifically, we developed both biased and unbiased estimators of variance using the raw moments of the study ...
Mohsin Abbas +5 more
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ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Outlier values and rankings are important for emphasizing data distribution variability, which improves the accuracy and effectiveness of variance estimations.
Umer Daraz +3 more
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Estimating many variances [PDF]
Suppose that an unknown random parameter theta with distribution function G is such that given theta, an observable random variable x has conditional probability density f(x / theta) of known form. If a function t = t(x) is used to estimate theta, then the expected squared error with respect to the random variation of both theta and x is: E(t-theta ...
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Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Noise variance estimation based on image segmentation
A new two-step noise variance estimation algorithm was proposed based on image segmentation. In the first step, a noisy image was smoothed and was segmented by the statistical region merge (SRM) algorithm, then the variance of each region was computed ...
WANG Zhi-ming
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Nonparametric variance estimation
Im heteroskedastischen nichtparametrischen Regressionsmodell mit unbekanntem Erwartungswert f und Varianz V werden Probleme bezueglich der Varianz V untersucht. Im ersten Teil dieser Dissertation wird davon ausgegangen, dass die Varianz V Hoelder-stetig ist. Eine obere Schranke fuer das gleichmaessige Risiko mit einem linearen Schaetzer wird abgeleitet,
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Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
This article presents an improved class of efficient estimators aimed at estimating the finite population variance of the study variable. These estimators are especially useful when we have information about the minimum/maximum values of the auxiliary ...
Umer Daraz, Jinbiao Wu, Olayan Albalawi
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