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Prediction parameter and value of S/N Ratio and Mean

Mean Value Prediction of the Biased Estimators

Mean Value Prediction of the Biased Estimators

... Abstract- In this paper we formulate Stein–minimax type estimators and compare the performance properties with other estimators in case of mean value predictions. When the model is estimated by ordinary ...

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A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator  for Finite Population Mean in Sample Surveys

A Two-Parameter Ratio-Product-Ratio Type Exponential Estimator for Finite Population Mean in Sample Surveys

... two-parameter ratio-product-ratio type exponential estimator for a finite population mean in simple random sampling without replacement (SRSWOR) following the methodology in the studies of ...

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ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)

ALMOST UNBIASED ESTIMATOR FOR ESTIMATING POPULATION MEAN USING KNOWN VALUE OF SOME POPULATION PARAMETER(S)

... Department of Mathematics, University of New Mexico, Gallup, USA [email protected] Abstract In this paper we have proposed an almost unbiased estimator using known value of some population ...

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Diagnostic value of mean elasticity index as a quantitative shear wave elastography parameter for prediction of malignancy in small suspicious solid thyroid nodules

Diagnostic value of mean elasticity index as a quantitative shear wave elastography parameter for prediction of malignancy in small suspicious solid thyroid nodules

... 13.0. Mean, standard devia- tion (SD), median and interquartile range (IQR) were calculated for continuous variables (age, EI, duration of swelling, size of nodules), while frequency and percentage were calculated ...

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Estimation of Mean with two-Parameter Ratio-Product-Ratio Estimator in Double Sampling using Ancillary Information under Non-Response

Estimation of Mean with two-Parameter Ratio-Product-Ratio Estimator in Double Sampling using Ancillary Information under Non-Response

... Non-response (NR) is an important issue that remains under constant debate amongst statistician for a variety of reasons. Some of which may be (i) refuel to answer the questionnaire, (ii) not available at home, (iii) ...

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The lymphocyte-to-monocyte ratio: An added value for death prediction in heart failure

The lymphocyte-to-monocyte ratio: An added value for death prediction in heart failure

... cut-off value of LMR. This value was calculated through receiver operating characteristic (ROC) curves and the Youden ...Man- n eWhitney test was used for comparing continuous vari- ables once their ...

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Prognostic value of mean platelet volume to plateletcrit ratio in patients with osteosarcoma

<p>Prognostic value of mean platelet volume to plateletcrit ratio in patients with osteosarcoma</p>

... prognostic value although it was not revealed as an independent predictor by the multivariate Cox analysis in the overall ...MPV/PCT ratio with prognosis in osteosarcoma patients remains ...

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Enhancing ratio estimators for estimating population mean using  maximum value of auxiliary variable

Enhancing ratio estimators for estimating population mean using maximum value of auxiliary variable

... maximum value, ratio estimator, simulation ...population mean by incorporating product, ratio and regression methods of ...The ratio and product methods of estimation are helpful for ...

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RP, mixed convection parameter is ratio of the

RP, mixed convection parameter is ratio of the

... Variations in shear stress pertaining to the dual solutions in the constant fluid property case are shown in fig. 16 for smaller negative values of RP and in fig.17 for larger negative values of RP. On a comparison of ...

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Modification of Ratio Estimator for Population Mean

Modification of Ratio Estimator for Population Mean

... population mean has been proposed under simple random sampling without ...and Mean Square Error) have been obtained up to first order of approximation using Taylor’s Series Expansion and the condition for ...

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Ratio estimation of the mean under RRT models

Ratio estimation of the mean under RRT models

... In survey sampling, we try to use a random sample to estimate population pa- rameters, but sometimes the sample does not represent the population accurately. In other words, a sample may under- or over-estimate a ...

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A Dimensionless Parameter Approach based on Singular Value Decomposition and Evolutionary Algorithm for Prediction of Carbamazepine Particles Size

A Dimensionless Parameter Approach based on Singular Value Decomposition and Evolutionary Algorithm for Prediction of Carbamazepine Particles Size

... B S T R A C T The particle size control of drug is one of the most important factors affecting the efficiency of the nano-drug production in confined liquid impinging ...singular value decomposition method, ...

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An improved ratio estimator of population mean at current occasion

An improved ratio estimator of population mean at current occasion

... is an open access article distributed under the Creative Commons Attribution License, which distribution, and reproduction in any medium, provided the original work is properly cited. In many situations the study ...

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Monotonicity of the ratio for the complete elliptic integral and Stolarsky mean

Monotonicity of the ratio for the complete elliptic integral and Stolarsky mean

... L: Ratio of Stolarsky means: monotonicity and ...Some mean values related to the arithmetic-geometric ...integral mean in terms of the exponential and ...

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Selection of the Suitable Parameter Value for ISOMAP

Selection of the Suitable Parameter Value for ISOMAP

... noisy S-curve data sets, with zero-mean normally distributed noise added to each data point of the corresponding data set, where the standard deviation of the noise is chosen to be 2% of smallest dimension ...

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To Asses the predictive value of calcium to creatinine ratio in spot urine sample for early prediction of pre eclampsia

To Asses the predictive value of calcium to creatinine ratio in spot urine sample for early prediction of pre eclampsia

... predictive value of calcium to creatinine ratio in spot urine sample for early prediction of pre eclampsia’’ under my overall supervision and guidance in the Institute of PSG Institute of Medical ...

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Parameter variations in prediction skill optimization at ECMWF

Parameter variations in prediction skill optimization at ECMWF

... Ensemble Prediction and Parameter Estimation System (EPPES; Järvinen et ...ensemble prediction system of ...The parameter estimation in- volves 177 ensembles with 50 members from 12 May to 8 ...

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Parameter optimisation for location extraction and prediction applications

Parameter optimisation for location extraction and prediction applications

... Figure 2 shows the overall trends present with respect to the mean absolute error metric. Specifically, Figure 2a shows the relationship between cost and average location area (in km 2 ), and Figure 2b shows the ...

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Composite GPA N Mean N Mean N Mean N Mean N Mean N Mean N Mean Music Education

Composite GPA N Mean N Mean N Mean N Mean N Mean N Mean N Mean Music Education

... candidate performances on Assessment Planning and Analysis of Student Learning have been identified as key indicators of candidates’ ability related to student learning. Although in spring 2008 the Professional Education ...

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Vinogradov s Mean Value Theorem

Vinogradov s Mean Value Theorem

... We have so far established the optimal decoupling theory for the following manifolds M, with the following applications • Hypersurfaces in R n with nonzero Gaussian curvature (p c = 2(n+1) n−1 ). ...

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