Results 61 to 70 of about 1,354,279 (305)

Mean squared error vs. frame potential for unsupervised variable selection [PDF]

open access: yes, 2017
Forward Selection Component Analysis (FSCA) provides a pragmatic solution to the NP-hard unsupervised variable selection problem, but is not guaranteed to be optimal due to the multi-modal nature of the mean squared error (MSE) selection metric used ...
McLoone, Seán, Zocco, Federico
core   +1 more source

Geographic variation in walking activity in the red flour beetle Tribolium castaneum

open access: yesPopulation Ecology, EarlyView.
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley   +1 more source

Estimation of finite population variance using auxiliary information in sample surveys

open access: yesStatistica, 2014
This paper addresses the problem of estimating the finite population variance using auxiliary information in sample surveys. Motivated by (Singh and Vishwakarma, 2009) some estimators of finite population variance have been suggested along with their ...
Housila P. Singh   +2 more
doaj   +1 more source

A stepwise emergence of evolution in the RNA world

open access: yesFEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

Adjusted variance estimators based on minimizing mean squared error for stratified random samples

open access: yesStatistical Theory and Related Fields
In the realm of survey data analysis, encountering substantial variance relative to bias is a common occurrence. In this study, we present an innovative strategy to tackle this issue by introducing slightly biased variance estimators.
Guoyi Zhang, Bruce Swan
doaj   +1 more source

P‐glycoprotein modulates the fluidity gradient of the plasma membrane of multidrug resistant CHO cells

open access: yesFEBS Letters, EarlyView.
To explore the impact of the overexpression of the multidrug‐transporter P‐glycoprotein (ABCB1) on membrane fluidity, we compared the transversal gradient of mobility and microviscosity in plasma membranes of drug‐sensitive Chinese hamster ovary cells (AuxB1) and their multidrug‐resistant derivatives (B30) using the fluorescent n‐(9‐anthroyloxy) fatty ...
Roger Busche   +2 more
wiley   +1 more source

Estimating misclassification error: a closer look at cross-validation based methods

open access: yesBMC Research Notes, 2012
Background To estimate a classifier’s error in predicting future observations, bootstrap methods have been proposed as reduced-variation alternatives to traditional cross-validation (CV) methods based on sampling without replacement.
Ounpraseuth Songthip   +3 more
doaj   +1 more source

Disruption of SETD3‐mediated histidine‐73 methylation by the BWCFF‐associated β‐actin G74S mutation

open access: yesFEBS Letters, EarlyView.
The β‐actin G74S mutation causes altered interaction of actin with SETD3, reducing histidine‐73 methylation efficiency and forming two distinct actin variants. The variable ratio of these variants across cell types and developmental stages contributes to tissue‐specific phenotypical changes. This imbalance may impair actin dynamics and mechanosensitive
Anja Marquardt   +8 more
wiley   +1 more source

PENERAPAN METODE PENDUGAAN AREA KECIL (SMALL AREA ESTIMATION) PADA PENENTUAN PROPORSI RUMAH TANGGA MISKIN DI KABUPATEN KLUNGKUNG

open access: yesE-Jurnal Matematika, 2013
Small area is an area with insufficient sample for direct estimation. Limited survey objects, cause direct estimation can not produce better parameter estimates.
PUTU EKA ARIWIJAYANTHI   +2 more
doaj   +1 more source

Bootstrapping the Mean Integrated Squared Error

open access: yesJournal of Multivariate Analysis, 1993
AbstractA smooth bootstrap method is used to find an estimator of the mean integrated squared error in density estimation. This provides a natural bootstrap selector for the bandwidth. Some rates of convergence and limit distributions are presented for this new selector as well as for some modification of it.
openaire   +2 more sources

Home - About - Disclaimer - Privacy