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Variables used in the analysis

A STUDY ON THE HYDROLOGIC VARIABLES USED IN MOST OF THE WATER RESOURCES APPLICATIONS

A STUDY ON THE HYDROLOGIC VARIABLES USED IN MOST OF THE WATER RESOURCES APPLICATIONS

... and analysis of various thematic maps and image data proved useful for the delineation of zones of groundwater potential and zones of groundwater quality suitable for domestic ...

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A Review of Common Independent Variables Used in
Tobacco Smoking Related Studies

A Review of Common Independent Variables Used in Tobacco Smoking Related Studies

... Binary variables of smoking status are easy to be ...widely used in the smoking-related studies and most of them are basic qualitative analysis, as ...

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The limited utility of electrocardiography variables used to predict arrhythmia in psychotropic drug overdose

The limited utility of electrocardiography variables used to predict arrhythmia in psychotropic drug overdose

... Statistical analysis Subjects who had arrhythmias were compared with matched individuals who had ingested the same drug with respect to age, gender, and the amount ...

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Exploratory Data Analysis with One and Two Variables

Exploratory Data Analysis with One and Two Variables

... Further, graph the raw distribution of the data for each pair. To find correlations in Stata, type • correlate varname1 varname2 . . . which will show a matrix of the correlations between all the variables ...

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A systematic review of variables used to assess clinically acceptable alignment of unilateral transtibial amputees in the literature.

A systematic review of variables used to assess clinically acceptable alignment of unilateral transtibial amputees in the literature.

... was used for quality assessment with current study, the adaptation time to a new prosthetic alignment adjustment assumed to be more than 5 minutes (28, ...statistical analysis of included studies were ...

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Omitted variables in cointegration analysis

Omitted variables in cointegration analysis

... model used to investigate the effects of omitted variables is quite simple, be- ing a VAR(1) without deterministic terms, in order to minimise the complexity of the algebra ...

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Omitted variables in cointegration analysis

Omitted variables in cointegration analysis

... model used to investigate the effects of omitted variables is quite simple, be- ing a VAR(1) without deterministic terms, in order to minimise the complexity of the algebra ...

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The selected six variables are used to examine the capital structure of the selected companies

The selected six variables are used to examine the capital structure of the selected companies

... has used Size of firm, Tangibility, Growth, Profitability, Earning Risk and Business ...six variables are used to examine the capital structure of the selected ...correlation analysis and ...

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An analysis of variables affecting instructional efficiency

An analysis of variables affecting instructional efficiency

... This was not the case. Participants only responded correctly 68% of the time, on average, after being presented with the model in the antecedent position. Failure to respond correctly following the model often occurred ...

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Can anthropogenic variables be used as threat proxies for South  African plant richness?

Can anthropogenic variables be used as threat proxies for South African plant richness?

... & Jones 1999). Further analysis is required to ascertain whether other human measures are proximate or ultimate threats. The differing anthropogenic threats should be assessed individually for each province prior ...

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Analysis of three variables in sampling solutions used to assay bacteria of hands: type of solution, use of antiseptic neutralizers, and solution temperature

Analysis of three variables in sampling solutions used to assay bacteria of hands: type of solution, use of antiseptic neutralizers, and solution temperature

... Tests were performed using the sterile bag technique to determine the effects of type of sampling solution, use of antiseptic neutralizers, and solution temper- ature on the detection an[r] ...

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Multivariate time series analysis is used when one wants to model and explain the interactions and comovements among a group of time series variables:

Multivariate time series analysis is used when one wants to model and explain the interactions and comovements among a group of time series variables:

... Multivariate time series analysis is used when one wants to model and explain the interactions and co- movements among a group of time series variables:.. • Consumption and income1[r] ...

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Preanalytical Variables in the Chemistry Laboratory. Specimen Analysis

Preanalytical Variables in the Chemistry Laboratory. Specimen Analysis

... Selecting the Site: Selecting the appropriate site for venipuncture can contribute to a better quality sample. The preferred site is the median cubital vein. This vein is usually the easiest to access. Generally, there ...

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Singularity analysis for heavy tailed random variables

Singularity analysis for heavy tailed random variables

... commonly used in analytic combina- torics ...singularity analysis can be pushed beyond the realm of functions amenable to singularity analysis in the sense of [11, Chapter ...

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Analysis of Stylometric Variables in Long and Short Texts

Analysis of Stylometric Variables in Long and Short Texts

... we used 7 stylometric variables but counting the unigrams, bigrams and trigrams with and without gaps as 5 variants of each variable, we actually have 19 variables to ...two variables, all ...

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Analysis of Variables of Vessel Calls in a Container Terminal

Analysis of Variables of Vessel Calls in a Container Terminal

... independent variables are total moves, total discharges, total loads, total shifts and length of overall ...that used to calculate the handling rates of the ship ...

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Multiple regression analysis using climate variables

Multiple regression analysis using climate variables

... data analysis. In terms of methods used, forward selection and stepwise always give the same results thus both are the best methods because these methods will strictly picked variables that are ...

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Bayesian Analysis for Errors in Variables with Changepoint Models

Bayesian Analysis for Errors in Variables with Changepoint Models

... about the point in a sequence of random variables at which the underlying dis- tribution changes. Carlin, Gelfand & Smith (1992) extended the Smith approach using Markov chain Monte Carlo (MCMC) methods for ...

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Confirmatory Factor Analysis with nine psychological variables

Confirmatory Factor Analysis with nine psychological variables

... factor analysis is a technique often used to detect and assess latent sources of variation and covariation in observed ...factor analysis van be quite useful in the early stages of experimentation or ...

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A qualitative and quantitative analysis of the corpus was used

A qualitative and quantitative analysis of the corpus was used

... the variables that affect the process are: motivation, interest, stable characteristics such as sex, social class, intelligence among others, schemata, and background knowledge which includes knowledge of genres ...

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