Robustness Study: PCR and Stepwise regression
The determination of regression relationships using stepwise regression techniques
... or study, educational, or not- for-profit purposes without prior permission or charge provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original ...
263
Investigation into the robustness of Evolutionary Programming Regression for sedimentation study
... employs a Genetic Algorithm (GAs) (Goldberg, 1989) to find the optimal sets of exponents in equation (2) within the combinatorial search space, as defined by the user defined set of exponents. It is Polynomial because ...
7
Study on rowing athlete selection potential based on stepwise regression analysis
... A coach usually selects potential athletes based on their performances in competition or daily routine training, which is not that scientific to some degree. By taking long distance rowing as an example and establishing ...
8
Robustness of stepwise latent class modeling with continuous distal outcomes
... true stepwise approach, in which as in the three-step approaches the estimation of the LC model and the investigation of the association between classes and distal outcomes are fully ...
13
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 ...
6
Selection of environmental covariates using stepwise regression
... Material and Methods The study was conducted in the Sarkarsamakulam block of the Coimbatore district of Tamil Nadu. The geography of the study area lies between 1101’19.8” to 11012’21” N Latitude and ...
6
Robustness of bootstrap in instrumental variable regression
... studying robustness of resampling ...(1993) study on the effect of openness of countries to inflation rates, where the data contain extremely high inflation rates of some Latin American ...
38
Robustness of bootstrap in instrumental variable regression
... studies robustness of bootstrap inference methods for instrumental variable (IV) regression ...we study limiting behaviors of the bootstrap quantiles when the values of outliers diverge to infinity ...
41
Robustness of Bootstrap in Instrumental Variable Regression
... IV regression which is one of the most popular econometrics models, and studies separately the effects of outliers in dependent variables, endogenous regressors, and ...IV regression should seriously think ...
25
MODIFIED STEPWISE REGRESSION MODELS ON SIMPLIFYING THE ARWU’S INDICATORS
... a stepwise regression analysis for each ranking year, and constructs stepwise regression models from 2004 to ...modified stepwise regression models are all adequate to replace ...
22
Robustness Procedures in Economic Growth Regression Models
... to study the determinants of economic growth, using provincial data from 1985 to ...this study, the authors hope to make empirical contributions to the study of economic growth, specifically in the ...
13
Robustness for regression models with asymmetric error distribution
... State-space models (SSM) are originally developed by control engineers for some naviga- tion applications. They are also very useful in many types of the time-series problems, e.g. forecasting problem. To introduce ...
203
Model selection in Medical Research: A simulation study comparing Bayesian Model Averaging and Stepwise Regression
... forward stepwise regression selection with the Akaike Information Criterion (AIC) as the step cri- teria ...in stepwise regression we excluded all previously selected variables with a p-value ...
10
GIS Application for Climatic Change Prediction Using Stepwise Regression
... The regression functions between LST and NDVI and coefficient of determination (R2), which measures the strength of the linear regression, are shown in Fig ...This study has demonstrated that land ...
9
Stepwise Regression to Predict Market Performance in the Janet Yellen Era
... this study illustrate that the same trends observed in earlier work on this topic are present in the time periods of this study; those trends are the increasing r- square values as interest rates from ...
46
Stepwise searching for feature variables in high-dimensional linear regression
... b r = (number of selected wrong variables + number of unselected true variables) (2 b d). Similar to the pattern in Figure 1, BICP, BICC and FoBa provided comparable performances while BICC is slightly better than ...
30
Using Stepwise Regression Techniques to Shortlist the Number of Antecedents of Employee Absenteeism
... Management Summary The consequences of absenteeism are very clear for both organizations and researchers. The costs occurring due to absenteeism are high and seem to be increasing year by year. As a result, it will be ...
87
A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model
... linear regression models assume that the error terms are independent, normally distributed with mean zero and constant ...of regression parameters, attributed to Gauss, although widely used, can be very ...
48
Time-lapse observation of stepwise regression of Erk activity in zebrafish presomitic mesoderm
... this study, we used a Förster resonance energy transfer (FRET)-based Erk biosensor and succeeded to visualize Erk activity within living zebrafish ...the stepwise regression of Erk activity occurs at ...
11
Stepwise Regression for Shear Capacity Assessment of Steel Fiber Reinforced Concrete Beams
... Moreover, in order to picture confirmation of the SR development model, a parametric analysis was accomplished based on the procedure that proposed in [41]. The mentioned procedure examines the response of the developed ...
12