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Stepwise Regression Equations Predicting Positive and

New regression equations for predicting human teeth sizes

New regression equations for predicting human teeth sizes

... mentioned equations pre- sented a degree of accuracy similar to studies performed on Saudi-Arabians [9], Hong Kong Chinese [10], Asian Americans [11], North-Eastern Thais [12], Syrians [13], Senegalese [14], white ...

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Morphological Indices and Stepwise Regression of Koroji Sheep

Morphological Indices and Stepwise Regression of Koroji Sheep

... and stepwise regression of Koroji sheep was done with A total population of 250 koroji sheep and 150 animals were randomly sampled from the population for Morphometric ...for stepwise ...

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Development of empirical regression equations for predicting the performances of disc plough and harrow in clay-loam soil

Development of empirical regression equations for predicting the performances of disc plough and harrow in clay-loam soil

... empirical regression equations that could be used to predict the performances of disc plough and harrow on clay – loam soil in South – East agro – ecological region of Nigeria, and then to enable farmers, ...

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GIS Application for Climatic Change Prediction Using Stepwise Regression

GIS Application for Climatic Change Prediction Using Stepwise Regression

... When predicting the PET for future the following is concluded stating that Dry season will show a consistent decrease , Summer season will show neither increase nor decrease, South west monsoon will show neither ...

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Stepwise Regression to Predict Market Performance in the Janet Yellen Era

Stepwise Regression to Predict Market Performance in the Janet Yellen Era

... to positive, and distant interest rate lags that are statistically ...a positive correlation and when there is a negative correlation between interest rates and economic ...

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Using Stepwise Regression Techniques to Shortlist the Number of Antecedents of Employee Absenteeism

Using Stepwise Regression Techniques to Shortlist the Number of Antecedents of Employee Absenteeism

... As a result, two options remain. For the antecedents job demands and work group characteristics, there are solutions possible for the firms to reduce absenteeism. However, these solutions are not so simple as one might ...

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Predicting Bankruptcy with Robust Logistic Regression

Predicting Bankruptcy with Robust Logistic Regression

... the regression equations from the Runs 1-3 training sets, the probability of bankruptcy was computed using the Lehman Brothers finan- cial ...that regression equations from the ML logistic ...

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Time-lapse observation of stepwise regression of Erk activity in zebrafish presomitic mesoderm

Time-lapse observation of stepwise regression of Erk activity in zebrafish presomitic mesoderm

... the stepwise regression of Erk activity occurs at irregular ...a positive correlation between the timing and corresponding somite size in clock-deficient embryos, suggesting that Erk stepwise ...

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Stepwise Regression for Shear Capacity Assessment of Steel Fiber Reinforced Concrete Beams

Stepwise Regression for Shear Capacity Assessment of Steel Fiber Reinforced Concrete Beams

... improve. Predicting the shear capacity of concrete beams containing steel fiber is an important issue not only in structural design but also to retrofitting of existing ...based stepwise regression ...

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Analysis and selection of a regression model for the Use Case Points method using a stepwise approach

Analysis and selection of a regression model for the Use Case Points method using a stepwise approach

... Predicting the effort required to create software has been based on numerous software size models such as the Constructive Cost Model ( Anandhi and Chezian, 2014; Clark, 1996; Manalif et al., 2014 ) and all its ...

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Predicting Positive Attitudes toward Immigrants with Altruism

Predicting Positive Attitudes toward Immigrants with Altruism

... have positive immigration ...of positive attitudes toward ...the regression as dichotomous variables, and their impacts are compared against the base category of ...in positive attitudes ...

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Pythagorean Formula in Baseball: Creation of a Better Model Using Backward Elimination Stepwise Regression Analysis

Pythagorean Formula in Baseball: Creation of a Better Model Using Backward Elimination Stepwise Regression Analysis

... example, if a team posted a record of 85-77 and their Pythagorean prediction was calculated to be 81-81, then the team was said to exceed expectations for the season. This formula has evolved over time, but major outlets ...

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A Multiple Regression Analysis for Predicting Salinity in Shallow Groundwater

A Multiple Regression Analysis for Predicting Salinity in Shallow Groundwater

... highly positive and smooth-out to a high number of lags or decay ...multiple regression technique using both the original data and the stationarized EC data will be ...

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A Logistic Regression Analysis for Predicting Bankruptcy in the Hospitality Industry

A Logistic Regression Analysis for Predicting Bankruptcy in the Hospitality Industry

... for predicting bankruptcy in the hospitality ...for predicting bankruptcy up to 2 years in ...forward stepwise selection procedures, could correctly predict 91% and 84% of bankruptcy cases 1 and 2 ...

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The Logistic Lasso and Ridge Regression in Predicting Corporate Failure

The Logistic Lasso and Ridge Regression in Predicting Corporate Failure

... the stepwise or best subset selection, aims to identify a subset of the predictors that one believes to be the best one related to the ...by stepwise selection ...limitations. Stepwise methods, which ...

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PREDICTING STATE OF TRAFFIC SIGNS USING LOGISTIC REGRESSION

PREDICTING STATE OF TRAFFIC SIGNS USING LOGISTIC REGRESSION

... After obtaining the initial model, the analysis has been carried out again, but this time including the independent variable. As previously mentioned, each type of retroref lective material was analysed separately and ...

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CiteSeerX — IDENTIFIERS *Stepwise Regression

CiteSeerX — IDENTIFIERS *Stepwise Regression

... Statistics were reported from 3 types of models: simple models (each predictor alone), many reduced models selected from one of the three selection methods (forward stepwise, backward st[r] ...

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The determination of regression relationships using stepwise regression techniques

The determination of regression relationships using stepwise regression techniques

... RELATIONSHIPS USING STEPWISE REGRESSION TECHNIQUES.. by.[r] ...

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Fast stepwise regression on linked data

Fast stepwise regression on linked data

... Fig. 4. Average time needed to build models with 3 or 5 variables for varying numbers of available variables and observations. ‘regular step’ is the classical stepwise regression, all others are the ...

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Selection of environmental covariates using stepwise regression

Selection of environmental covariates using stepwise regression

... Keywords: Stepwise regression, coefficients, probability, F-statistic Introduction Environmental covariates, which reflect the soil formation factors, are a key approach in spatial prediction of soil ...

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