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Data and variables of the study

Methods for Dealing with Death and Missing Data, and for Standardizing Different Health Variables in Longitudinal Datasets:  The Cardiovascular Health Study

Methods for Dealing with Death and Missing Data, and for Standardizing Different Health Variables in Longitudinal Datasets: The Cardiovascular Health Study

... missing data, and for standardizing different health variables in longitudinal datasets: the Cardiovascular Health Study Introduction: Death, missingness, and multiple measures They say that nothing ...

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Supplementary Table 1. Study variables: definitions and data sources. Categories / definitions

Supplementary Table 1. Study variables: definitions and data sources. Categories / definitions

... Current child weight SDS Weight was measured by public health nurses at pre-school health examinations, while wearing light clothes, and recorded to the nearest 0.1 kg SDS scores wer[r] ...

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Regression Models with Data-based Indicator Variables

Regression Models with Data-based Indicator Variables

... Carlo study developed in this section addresses the issue of whether or not adding dummies that do not actually matter will distort model ...dummy variables, only one other regressor was considered: for ...

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Improved Errors-in-Variables Estimators for Grouped Data

Improved Errors-in-Variables Estimators for Grouped Data

... all variables for each group and then carrying out a group-level regression by OLS or weighted least squares (if there are different numbers of observations in different ...to study labor supply (Angrist ...

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In accordance with the nature of the variables, it is based that the study was of

In accordance with the nature of the variables, it is based that the study was of

... the variables, it is based that the study was of three types: Descriptive, since it seeks to specify properties, characteristics and important features of any phenomenon that is analyzed; this type of ...

8

The application of data mining techniques for the regionalisation of hydrological variables

The application of data mining techniques for the regionalisation of hydrological variables

... in data mining — a search for useful knowledge and models embedded within large data ...three data sets from the south-west of England and Wales; to England, Wales and Scotland (EWS); and to the ...

10

On detecting variables using ROTSE-IIId archival data

On detecting variables using ROTSE-IIId archival data

... new variables, tran- sients and planetary nebulae from this archival ...the data on a 36 core cluster. This study is supported by TUBITAK (Scientific and Technological Research Council of Turkey) ...

5

A STUDY OF EMOTIONAL INTELLIGENCE AND HUMAN CAPITAL VARIABLES

A STUDY OF EMOTIONAL INTELLIGENCE AND HUMAN CAPITAL VARIABLES

... Present study has been designed to investigate the relationship between the Human Capital variables and emotional intelligence of employees working in industrial organization of steel and power ...the ...

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A study of organizational effectiveness variables in indian industries

A study of organizational effectiveness variables in indian industries

... present study has been ...The study seeks to explore the variables contributing to organizational effectiveness and the existence of relationship among ...Primary data used in the study ...

7

Introduction to instrumental variables and their application to large-scale assessment data

Introduction to instrumental variables and their application to large-scale assessment data

... This study was subsequently replicated by Machin et ...outcome variables were student scores on tests, and the predictor variable was based on a teachers’ survey about the use of technology in the ...

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A Comparison of Multiple Imputation and Data Perturbation for Masking Numerical Variables

A Comparison of Multiple Imputation and Data Perturbation for Masking Numerical Variables

... perturbed data requires the user to analyze a single data set, whereas multiple imputation requires the user to analyze a large number of data sets (in some cases as many as ...confidential ...

18

Forecasting Euro-Area Variables with German Pre-EMU Data

Forecasting Euro-Area Variables with German Pre-EMU Data

... this study we have investigated whether German data from the pre-Euro period have the same or even more information content for forecasting Euro-area variables in the EMU period than aggre- gated, ...

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Sukuk and macroeconomic variables: empirical evidence from panel data

Sukuk and macroeconomic variables: empirical evidence from panel data

... this study was attempted to test the relationship of sukuk and macroeconomic variables namely; GDP per Capita, Population and Foreign Direct ...The study conducted from seven selected Islamic ...

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Forecasting Euro-Area Variables with German Pre-EMU Data

Forecasting Euro-Area Variables with German Pre-EMU Data

... this study we have investigated whether German data from the pre-Euro period have the same or even more information content for forecasting Euro-area variables in the EMU period than aggre- gated, ...

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Inferring networks from high-dimensional data with mixed variables

Inferring networks from high-dimensional data with mixed variables

... high-dimensional data with mixed variables, the strongly decomposable graphical model and the regression-type graphical ...simulation study, we compare the performance of the strongly decomposable ...

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A Singaporean Study on Macroeconomic Variables Impacting Stock Returns

A Singaporean Study on Macroeconomic Variables Impacting Stock Returns

... However, the AllShare would have also taken into account shares that have little to no movement in spite of changes in the macroeconomic environment; resulting in skewed data. Further research can be carried out ...

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VARIABLES AND DATA TYPES

VARIABLES AND DATA TYPES

... The memory allocated for the float data type is 4 bytes , for the double data type is 8 bytes, and for the long double 10 bytes. Example[r] ...

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Variables, Constants, and Data Types

Variables, Constants, and Data Types

... • Note the distinction between a primitive character ‘X’, which holds only one character, and a String object, which can hold a sequence of one or more characters. • Every character st[r] ...

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Variables. Exploratory Data Analysis

Variables. Exploratory Data Analysis

... • A distribution is approximately symmetric if the left and right halves are approximately mirror images of each other. • A distribution is skewed to the right if the right half of the data (the larger values) are ...

8

Primitive data types, expressions, and variables

Primitive data types, expressions, and variables

... calculated value is smaller than what can be represented using the number of bytes assigned to its type.  Again, Java does not detect this error; it’s up to the programmer to handle i[r] ...

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