[PDF] Top 20 Linear regression in the parameters study of an econometric model
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Linear regression in the parameters study of an econometric model
... [4] Karamé, F. Economètrie M1 Assurance et analyse financière. Maine : Université du Maine, 2012. [5] JACQUEMET, BRUNO CREPON et NICOLAS. Econometrie linéaire appliquée. PARIS : s.n., 2006. [6] Bourbonnais, R. ... See full document
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Two applications of U-Statistic type processes to detecting failures in risk models and structural breaks in linear regression models
... More recently, academic research conducted by Barras, Scaillet and Wermers (2010, here- after BSW) has searched for outperforming mutual fund managers via extended versions of the CAPM but in such a way that they control ... See full document
108
Development of Mathematical Models for Predicting Customers Satisfaction in the Banking System with a Queuing Model Using Regression Method
... theory parameters ( , , , e f ! determines the effectiveness and efficiency of the bank as investigated in this research ...case study that the waiting time of customer is reduced, customer satisfaction is ... See full document
6
Some new proposed ridge parameters for the logistic regression model
... LR model, the sample size is needed to be ...simulation study is depend on 20p+10, 30p, 40p, 60p, and 100p, respectively (Mansson and Shukur, 2011 and Peruzzi, ... See full document
14
Hypothesis Testing of Parameters for Ordinary Linear Circular Regression
... This paper presents the hypothesis testing of parameters for ordinary linear circular regression model assuming the circular random error distributed as von Misses distribution. The main ... See full document
8
Prediction of gestational age by ultrasonogram using linear regression model
... this study it became obvious that GA by USG and MSD,CRL were strongly correlated with each other as well as are found to be statistically very highly significant ( P < ...and Regression Equation derived ... See full document
7
Dielectric microwave sensors with multivariate calibration
... seven model parameters are calculated from the mea- sured dielectric spectra using a non-linear curve fitting proce- ...the model parameters the samples were divided randomly into a ... See full document
5
An NMR crystallographic investigation of the relationships between the crystal structure and 29Si isotropic chemical shift in silica zeolites
... a linear regression of resp on ...all parameters in pred are relevant to the values in resp, meaning that testing the relevance of a given structural parameter on resp is not possible without tedious ... See full document
16
On Inference of the Linear Regression Model with Groupwise Heteroscedasticity
... The linear regression models for cross-sectional data often exhibit the problem of heteroscedasticity ...the parameters remain unbiased and consistent but become ... See full document
12
Logistic regression for circular data
... Abstract.This paper considers the relationship between a binary response and a circular predictor. It develops the logistic regression model by employing the linear-circular regression ... See full document
9
A Bayesian analysis of linear regression models with highly collinear regressors
... the parameters of a linear regression model for exactly and highly collinear regressors, corresponding to the non-identi…ed and weakly identi…ed ... See full document
30
Posterior means and precisions of the coefficients in linear models with Highly Collinear Regressors
... the parameters of a linear regression model for exactly and highly collinear regressors, corresponding to the non-identi…ed and weakly identi…ed ... See full document
25
Development of Model for Estimation of Radio Refractivity from Meteorological Parameters
... simple linear model for estimating radio refractivity from meteorological parameters are ...the parameters examined, a simple linear model was developed to estimate the radio ... See full document
7
New approaches in estimating linear regression model parameters in the presence of multicollinearity and outliers
... a model to a set of ...mathematically model a response variable as a function of the explanatory ...the model parameters, but ordinary least squares (OLS) method is the most popular method in ... See full document
34
The Non Linear Relationship between Electricity Consumption and Temperature in Taiwan: An Application for STR (Smooth Transition Regression) Model
... On the other hand, we figure out the threshold temperature estimated using the STR estimation for each sample period. The threshold temperature is 26.892˚C (1983-1987), 25.530˚C (1988-1992), 25.364˚C (1993-1997), ... See full document
19
Decision support for firm performance by real options analytics
... Using such detailed data for 187 Scottish small firms, a real options non-linear regression model was estimated by econometric methods adjusting for sample selectivity, explaining perfor[r] ... See full document
28
Combined Parameters Estimation Methods of Linear Regression Model with Multicollinearity and Autocorrelation
... Generalized Linear Estimator (CORC and ML) and Principal Components (PCs) Estimator that estimate the parameters of linear regression model when the two problems are in the ...A ... See full document
8
Original Article Preoperative prediction of Ki67 proliferation index obtained from non-enhanced CT measurements allows for assessing invasiveness and forecasting growth of ground-glass-opacity nodes
... this study, we firstly established a multiple linear regression model incorporating parameters from high resolution CT for calculating the prediction of immunohistochemical Ki67 prolif- ... See full document
12
Obtaining an Accurate and Comprehensive Data Mining Model
... this study, data mining mainly refers to applying data mining techniques keeping the business context and its demand ...this study is laying stress on Linear Regression Technique than other ... See full document
10
Wear Optimization of Al/Sic/Gr Hybrid MMC Using Taguchi and ANOVA
... The experimental results were analysed with Analysis of Variance (ANOVA) which is used to investigate the effect of the considered wear parameters namely, applied load, sliding speed, and track diameter that ... See full document
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