Results 71 to 80 of about 369,033 (293)

Generalized Exponential Type Estimator for Population Variance in Survey Sampling

open access: yesRevista Colombiana de Estadística, 2014
In this paper, generalized exponential-type estimator has been proposed for estimating the population variance using mean auxiliary variable in single-phase sampling. Some special cases of the proposed generalized estimator have also been discussed.
AMBER ASGHAR   +2 more
doaj   +1 more source

Penaksir untuk Rasio Populasi dengan Menggunakan Transformasi Variabel [PDF]

open access: yes, 2015
Estimators discussed in this paper are three estimators for population ratio using variable transformation, i.e estimator of population ratio using dual variable, regression-type estimator of population ratio, and ratio-type estimator of population ratio,
Harison, H. (Harison)   +2 more
core  

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

open access: yesFEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe   +3 more
wiley   +1 more source

Improved Exponential Type Ratio Estimator ofPopulation Variance

open access: yesRevista Colombiana de Estadística, 2013
\noindent This article considers the problem of estimating the population variance using auxiliary information. An improved version of Singhs exponential type ratio estimator has been proposed and its properties have been studied under large sample ...
SUBHASH KUMAR YADAV, CEM KADILAR
doaj  

A Ratio Estimator for the Mean Using a Mixture Optional Enhance Trust (MOET) Randomized Response Model

open access: yesMathematics
When researchers conduct surveys seeking sensitive, socially stigmatized information, respondents, on average, modify their answers to represent themselves favorably. To overcome this issue, researchers may use Randomized Response Technique (RRT) models.
Sat Gupta, Michael Parker, Sadia Khalil
doaj   +1 more source

A Modified Ratio-Cum-Product Estimator of Finite Population Mean in Stratified Random Sampling Rajesh Tailor1)

open access: yesData Science Journal, 2009
This paper suggests a ratio-cum-product estimator of finite population mean using a correlation coefficient between study variate and auxiliary variate in stratified random sampling.
Rajesh Tailor
doaj   +1 more source

Robust Estimation under Heavy Contamination using Enlarged Models [PDF]

open access: yes, 2013
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. In this paper, our concern is to develop a new approach for robust data analysis based on scoring rules.
Fujisawa, Hironori, Kanamori, Takafumi
core  

Featurized Density Ratio Estimation

open access: yes, 2021
First two authors contributed ...
Choi, Kristy   +2 more
openaire   +2 more sources

Multiple ETS family transcription factors bind mutant p53 via distinct interaction regions

open access: yesFEBS Letters, EarlyView.
Mutant p53 gain‐of‐function is thought to be mediated by interaction with other transcription factors. We identify multiple ETS transcription factors that can bind mutant p53 and found that this interaction can be promoted by a PXXPP motif. ETS proteins that strongly bound mutant p53 were upregulated in ovarian cancer compared to ETS proteins that ...
Stephanie A. Metcalf   +6 more
wiley   +1 more source

A new kernel estimator of hazard ratio and its asymptotic mean squared error

open access: yes, 2016
The hazard function is a ratio of a density and survival function, and it is a basic tool of the survival analysis. In this paper we propose a kernel estimator of the hazard ratio function, which are based on a modification of \'{C}wik and Mielniczuk's ...
Maesono, Yoshihiko, Moriyama, Taku
core  

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