Keyword: statistics: regression

Found 1079 papers in total
Stochastic inflow modeling for hydropower scheduling problems
Stochastic inflow modeling for hydropower scheduling problems
2015,
We introduce a new stochastic model for inflow time series that is designed with the...
Easy, reliable method for mid-term demand forecasting based on the Bass model: A hybrid approach of NLS and OLS
Easy, reliable method for mid-term demand forecasting based on the Bass model: A hybrid approach of NLS and OLS
2016,
For mid‐term demand forecasting, the accuracy, stability, and ease of use of...
Complex investment decisions using rough set and fuzzy c-means: An example of investment in green supply chains
Complex investment decisions using rough set and fuzzy c-means: An example of investment in green supply chains
2016,
Green supplier development focuses on helping organizations integrate activities to...
Application of an artificial immune algorithm on a statistical model of dam displacement
Application of an artificial immune algorithm on a statistical model of dam displacement
2011,
Statistical analysis is a useful method for setting the whole string of dam...
Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches
2011,
In this paper, we compare some traditional statistical methods for predicting...
Regression Analysis and the Sociological Imagination
Regression Analysis and the Sociological Imagination
2014,
Regression analysis is an important aspect of most introductory statistics courses in...
The Information Content of Equity Block Trades on the Warsaw Stock Exchange: An Estimation of Shares' Returns with the Usage of Simple Linear Regression and Multivariate Adaptive Regression Splines
The Information Content of Equity Block Trades on the Warsaw Stock Exchange: An Estimation of Shares' Returns with the Usage of Simple Linear Regression and Multivariate Adaptive Regression Splines
2014,
Equity block trade transactions per se directly relate to the valuation of a company's...
A Quantile Regression Approach to Equity Premium Prediction
A Quantile Regression Approach to Equity Premium Prediction
2014,
We propose a quantile regression approach to equity premium forecasting. Robust point...
Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China
Application of Machine Learning Methods to Risk Assessment of Financial Statement Fraud: Evidence from China
2014,
This study presents a method of assessing financial statement fraud risk. The proposed...
Forecasting the Term Structure when Short-Term Rates are Near Zero
Forecasting the Term Structure when Short-Term Rates are Near Zero
2014,
This paper compares the experience of forecasting the UK government bond yield curve...
Inflation and Unemployment Forecasting with Genetic Support Vector Regression
Inflation and Unemployment Forecasting with Genetic Support Vector Regression
2014,
In this paper a hybrid genetic algorithm–support vector regression...
Modeling and analysis of exhaustive probabilistic search
Modeling and analysis of exhaustive probabilistic search
2014,
This article explores a probabilistic formulation for exhaustive search of a bounded...
Sequential learning versus no learning in Bayesian regression models
Sequential learning versus no learning in Bayesian regression models
2014,
We consider two regression models: linear and logistic. The dependent variable is...
On the identification of sales forecasting models in the presence of promotions
On the identification of sales forecasting models in the presence of promotions
2015,
Shorter product life cycles and aggressive marketing, among other factors, have...
A Comparison of Spatial Designs for Field Variety Trials
A Comparison of Spatial Designs for Field Variety Trials
2013,
Experimental designs can be constructed to be efficient in the presence of spatial...
Further Properties of Frequentist Confidence Intervals in Regression that Utilize Uncertain Prior Information
Further Properties of Frequentist Confidence Intervals in Regression that Utilize Uncertain Prior Information
2013,
Consider a linear regression model with n‐dimensional response vector,...
Exact Simultaneous Confidence Bands for Quadratic and Cubic Polynomial Regression with Applications in Dose Response Study
Exact Simultaneous Confidence Bands for Quadratic and Cubic Polynomial Regression with Applications in Dose Response Study
2013,
Exact simultaneous confidence bands (SCBs) for a polynomial regression model are...
Weighted Wilcoxon Estimators in Nonlinear Regression
Weighted Wilcoxon Estimators in Nonlinear Regression
2013,
In this paper, we consider the estimation of parameters of a general near regression...
A simulation analysis of conditional tests for parameter stability in cointegrated VAR models
A simulation analysis of conditional tests for parameter stability in cointegrated VAR models
2014,
This paper conducts a simulation study of parameter stability tests using conditional...
A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines
A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines
2014,
The number of emergency (or unplanned) readmissions in the United Kingdom National...
Nonparametric Quantile Regression-Based Classifiers for Bankruptcy Forecasting
Nonparametric Quantile Regression-Based Classifiers for Bankruptcy Forecasting
2014,
An improved classification device for bankruptcy forecasting is proposed. The proposed...
Forecasting Mixed-Frequency Time Series with ECM-MIDAS Models
Forecasting Mixed-Frequency Time Series with ECM-MIDAS Models
2014,
This paper proposes a mixed‐frequency error correction model for possibly...
The Effects of Disaggregation on Forecasting Nonstationary Time Series
The Effects of Disaggregation on Forecasting Nonstationary Time Series
2014,
This paper focuses on the effects of disaggregation on forecast accuracy for...
Estimating and Predicting the General Random Effects Model
Estimating and Predicting the General Random Effects Model
2014,
This paper extends the ‘remarkable property’ of Breusch (Journal of...
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