Linear Regression Analysis
On the Detection of Influential Outliers in Linear Regression Analysis
... Abstract: In this paper, we propose a measure for detecting influential outliers in linear regression analysis. The performance of the proposed method, called the Coefficient of Determination Ratio ...
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APPLICATION OF A LINEAR REGRESSION ANALYSIS TO AIRTEST PM2500.
... the health of commuters in the subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation measure several air pollutants regularly. In this paper, the accuracy of an instrument for PM measurement using ...
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Circular(2)-linear regression analysis with iteration order manipulation
... classical linear statistic method because the direction and the angle influence the position between one data with other ...of Linear Regression Analysis with Circular Regression ...and ...
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Bivariate Linear Regression Analysis of Impact of Faults on OO Software
... bivariate linear regression analysis is to study how accurately the differentcombinations of considered metrics could predict the ...subsets regression analysis ...
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Sample size calculations for model validation in linear regression analysis
... simple linear regression ...simple regression formula for estimating the logarithm of feta weight with the sum of the ultrasound measurements of biparietal diameter, mean abdominal diameter, and ...
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EXAMINATION OF MULTIVARIATE MULTIPLE LINEAR REGRESSION ANALYSIS
... The data from a study conducted in 2013 at the Research and Application Farm of Atatürk University have been used in this study. The body weight and cold carcass weights of the Awassi sheep have been taken as the ...
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Linear Regression Analysis for Symbolic Interval Data
... Billard and Diday [2] used the center point of each interval-value to fit the li- near regression model. Carvalho et al. [3] used the center point and range of each interval-value to fit two linear ...
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A study of English reading ability based on multiple linear regression analysis
... no linear relationship between influential factors and the ...multivariable linear regression is an ideal way to find out the function relationship between these factors and real ...
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Bayesian Dynamic Linear Regression Analysis of Infant Growth by Weight
... dynamic linear regression ...dynamic linear regression model was used to explore weight gain of infants incorporating individual and population level variations observed over ...dynamic ...
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Error Estimation Using Fuzzy Linear Regression Analysis
... fuzzy linear regression with symmetrical triangular number is used for prediction of values instead of normal linear ...fuzzy linear regression and normal linear ...normal ...
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Statistical Analysis of Fuzzy Linear Regression Model Based on Centroid Method
... fuzzy regression model did not consider the actual data which often contains outlier point or strong impact ...fuzzy linear regression analysis is transformed into a traditional linear ...
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TEXTURE ANALYSIS BY USING LINEAR REGRESSION MODEL BASED ON WAVELET TRANSFORM
... simple linear regression analysis, the distribution of the random data approximately appears a straight line in X, Y space when X and Y are perfectly related ...a linear function that captures ...
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Inferential Models for Linear Regression
... to linear regression analysis based on the relatively new inferential model (IM) framework; see Martin and Liu (2011) and also Martin et ...the linear model (1), the source of uncertainty––the ...
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Analysis of Penalized Regression Methods in a Simple Linear Model on the High-Dimensional Data
... Lasso- Least Absolute Shrinkage and Selection Operator- was first proposed by Robert Tibshirani [8] in 1996. Lasso method is a powerful technique that performs two main tasks: regularization and feature selection. In ...
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Analysis of dental caries using generalized linear and count regression models
... GP regression models instead of Poisson regression model; Pandit and Javali (2007) suggested both GLM’s and ZI models for modelling dental caries count ...(GP) regression models tend to improve the ...
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A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis
... the analysis is to determine the optimal setting for the clinical use of DPOAE to separate normal from hearing-impaired ears, but bear in mind an ear may be determined to be hearing impaired or normal at different ...
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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis
... the analysis is to determine the optimal setting for the clinical use of DPOAE to separate normal from hearing- impaired ears, but bear in mind an ear may be determined to be hearing impaired or normal at ...
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Partially linear censored quantile regression
... censored regression quantile estimator is robust and flexible enough to highlight aspects of the data that the most common survival analysis tech- niques might ...Censored regression quantiles and ...
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Application of multiple linear regression model in the performance analysis of traffic rules
... (1)It is known in Table 2, the multi-correlation coefficient of 3 independent variables and dependent variable R is 0.998, the determination coefficient R 2 is 0.995, the adjusted R 2 is 0.99. Due to the adoption of the ...
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Generalized Inference in Linear Regression Models
... We observed that (Table 5.8) the price index of gasoline is not a significant regres- sor for total US gasoline consumption for the period of 1960 to 1995. This result is opposite to what we expected. The reason could be ...
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