Results 31 to 40 of about 3,864,284 (197)

Estimation of population mean using ranked set sampling in the presence of measurement errors

open access: yesKuwait Journal of Science
Ranked set sampling is widely acknowledged for its superior efficiency compared with simple random sampling. Only a small amount of work has been conducted using ranked set sampling when measurement errors are present.
Ahmadini A.A.H., Singh R., Raghav Y.S.
doaj   +1 more source

Kinetic study of the convective drying of spearmint

open access: yesJournal of the Saudi Society of Agricultural Sciences, 2014
This work presents the kinetic study of the convective drying of Tunisian spearmint in two manners. The traditional protocol which consists in carrying out drying experimental tests at constant temperatures 40–45–50–55 °C and a new protocol which ...
Mourad Ayadi   +3 more
doaj   +1 more source

The effect of various conductivity and viscosity models considering Brownian motion on nanofluids mixed convection flow and heat transfer [PDF]

open access: yesTransport Phenomena in Nano and Micro Scales, 2016
In this paper the effect of using various models for conductivity and viscosity considering Brownian motion of nanoparticles is investigated. This study is numerically conducted inside a cavity full of Water-Al2O3 nanofluid at the case of mixed ...
H. R. Ehteram   +4 more
doaj   +1 more source

Variable Selection and Model Choice in Geoadditive Regression Models [PDF]

open access: yes, 2007
Model choice and variable selection are issues of major concern in practical regression analyses. We propose a boosting procedure that facilitates both tasks in a class of complex geoadditive regression models comprising spatial effects, nonparametric ...
Kneib, Thomas   +2 more
core   +1 more source

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling

open access: yesMathematics
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
doaj   +1 more source

Improved class of estimators of finite population mean using sampling fraction and information on two auxiliary variables in sample surveys

open access: yesStatistica, 2014
This paper suggested a generalized class of estimators using information on two auxiliary va-riables and sampling fraction in simple random sampling.
Housila P. Singh   +2 more
doaj   +1 more source

Studies in the variability of pock counts [PDF]

open access: yesEpidemiology and Infection, 1957
1. The relationship has been examined between the variance and the mean of pock counts made by a number of different workers.2. In all cases the variance was considerably greater than that expected if the distributions were of the Poisson form. Recent work of Westwoodet al.(1957) suggests that variation approaching the Poisson expectation can be ...
openaire   +2 more sources

Optimizing Finite Population Mean Estimation Using Simulation and Empirical Data

open access: yesMathematics
Two-phase sampling is an effective sampling approach that is useful in sample surveys when prior auxiliary information is not available. When two variables have an association, the ranks of the auxiliary variable are proportional to the study variable ...
Abdulaziz S. Alghamdi   +1 more
doaj   +1 more source

Enhanced estimation of population mean via exponential-type estimator using dual auxiliary inputs

open access: yesApplied Mathematics in Science and Engineering
Without having to interview every person, we may draw conclusions about the whole population by estimating the population mean, a fundamental summary statistic that is obtained from a sample.
Poonam Singh   +2 more
doaj   +1 more source

Random Forest variable importance with missing data [PDF]

open access: yes, 2012
Random Forests are commonly applied for data prediction and interpretation. The latter purpose is supported by variable importance measures that rate the relevance of predictors. Yet existing measures can not be computed when data contains missing values.
Hapfelmeier, Alexander   +2 more
core   +1 more source

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