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non-sample prior information

Improving statistical inference with uncertain non-sample prior information

Improving statistical inference with uncertain non-sample prior information

... observed sample data is the only source of ...assume prior distribution of the underlying model parameters to combine with sample ...Often non-sample prior information ...

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Testing equality of two intercepts for the parallel
regression model with non-sample prior information

Testing equality of two intercepts for the parallel regression model with non-sample prior information

... using non-sample prior information (NSPI) from trusted sources (cf Bancroft, ...Such information are usually available from previous studies or expert knowledge or experience of the ...

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Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information

Estimation of the intercept parameter for linear regression model with uncertain non-sample prior information

... the sample information and the uncertain non- sample prior information in estimating the intercept ...the non-sample prior information, that ...

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Test of hypotheses for linear regression models with
non-sample prior information

Test of hypotheses for linear regression models with non-sample prior information

... Classical inferences about population parameters are usually drawn from the sample data alone. This applies to methods used in parameter estimation and hypothesis testing. Inferences about population parameters ...

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Test of hypotheses for linear regression models with
non-sample prior information

Test of hypotheses for linear regression models with non-sample prior information

... the sample data ...using non-sample prior information (NSPI) from trusted sources (cf Ban- croft, ...Such information, which is usually available from previous studies or expert ...

207

Estimation of the slope parameter for linear regression model with uncertain prior information

Estimation of the slope parameter for linear regression model with uncertain prior information

... sample information. Such estimators disregard any other kind of non-sample prior information in its ...of non-sample information to the estimation of ...

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On the comparison of the pre-test and shrinkage estimators for the univariate normal mean

On the comparison of the pre-test and shrinkage estimators for the univariate normal mean

... uncertain non-sample prior information is ...the non-sample information in the estimation ...the non-sample information regarding the value of the ...

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Informative Bayesian Modeling With Applications to Media Data

Informative Bayesian Modeling With Applications to Media Data

... external information may be available from various resources, such as surveys, expert knowledge prior studies, ...external information may improve the inference of the aspect of interest, but is ...

103

Single Image Super Resolution via Non Sub sample Contourlet Transform based Learning and a Gabor Prior

Single Image Super Resolution via Non Sub sample Contourlet Transform based Learning and a Gabor Prior

... the information along the horizontal direction, vertical direction and the diagonal direction (the direction at an orientation of 45 0 ...shift-invariant. Non Sub-sampled Contourlet Transform (NSCT) fulfils ...

7

Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information

Shrinkage estimation of the slope parameters of two parallel regression lines under uncertain prior information

... of non-sample information in conjunction with the sample information is to improve the statistical properties of the ...the sample and non-sample information ...

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Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information

Estimation of the reciprocal of the mean of the Inverse Gaussian distribution with prior information

... If sample size is sufficiently large the maximum likelihood estimators (MLE) are consistent and efficient in terms of mean squared ...If sample size is small, there is relatively little information ...

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Multiple dimensions of health locus of control in a representative population sample: ordinal factor analysis and cross-validation of an existing three and a new four factor model

Multiple dimensions of health locus of control in a representative population sample: ordinal factor analysis and cross-validation of an existing three and a new four factor model

... clinical sample (N = 588) and detected a four-dimensional HLOC structure developing and vali- dating Form C of the MHLC (MHLC-C) for condition- specific measuring ...a sample of HIV+ patients (N = 478) via ...

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Ultra long metal nanowire arrays on solid substrate with strong bonding

Ultra long metal nanowire arrays on solid substrate with strong bonding

... achieve non- patterned nanowires on a large surface area, lithography process is not required; however the thin conductive layer of Au/Ti is necessary as a seed layer for the growth of ...entire sample or ...

7

Model averaging in economics

Model averaging in economics

... given information criterion or a personal view of the question of interest), and second they make inference under the selected model as if this model had been given in ...

41

Shrinkage pre-test estimator of the intercept parameter for a regression model with mulativariate student-t errors

Shrinkage pre-test estimator of the intercept parameter for a regression model with mulativariate student-t errors

... certain prior information” that appears in the form of a constraint is treated as the “nuisance parameter” and removed by using “Fisher’s Recipe” of “testing it ...

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Inadequate description of educational interventions in ongoing randomized controlled trials

Inadequate description of educational interventions in ongoing randomized controlled trials

... Prospectively registering clinical trials, by placing key protocol information about the trial in the public do- main, has been promoted to prevent misconduct in trials, specifically selective reporting [21]. The ...

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A REVIEW ON RESEARCH DESIGN AND ITS IMPORTANTPARAMETERS

A REVIEW ON RESEARCH DESIGN AND ITS IMPORTANTPARAMETERS

... A research design is a framework or blueprint for conducting the marketing research project. It details the procedures necessary for obtaining the information needed to structure or solve marketing research ...

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On the use of a spatial cue as prior information for stereo sound source separation based on spatially weighted non negative tensor factorization

On the use of a spatial cue as prior information for stereo sound source separation based on spatially weighted non negative tensor factorization

... This paper proposes a new method to enhance the performance of non-negative tensor factorization (NTF), one of the most prevalent source separation techniques nowadays. The enhancement is mainly achieved by ...

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Need for information in a representative sample of outpatients with schizophrenia disorders

Need for information in a representative sample of outpatients with schizophrenia disorders

... for information as a reported need and for information as an unmet need, in terms of the p values ...was information as a reported need, the retained independent variables were: higher age, lower ...

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Diagnosis of Mediterranean spotted fever by cultivation of Rickettsia conorii from blood and skin samples using the centrifugation shell vial technique and by detection of R  conorii in circulating endothelial cells: a 6 year follow up

Diagnosis of Mediterranean spotted fever by cultivation of Rickettsia conorii from blood and skin samples using the centrifugation shell vial technique and by detection of R conorii in circulating endothelial cells: a 6 year follow up

... of sample collection and the time of inoculation onto shell vials revealed that for 15 of the group of negative cultures, sampling and inoculation were not performed on the same day, suggesting that a long delay ...

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