Keyword: statistics: regression

Found 1079 papers in total
Empirical Likelihood for Censored Linear Regression and Variable Selection
Empirical Likelihood for Censored Linear Regression and Variable Selection
2015,
The linear regression model for right censored data, also known as the accelerated...
An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
An integrated unscented kalman filter and relevance vector regression approach for lithium-ion battery remaining useful life and short-term capacity prediction
2015,
The gradual decreasing capacity of lithium-ion batteries can serve as a health...
Weibull and lognormal Taguchi analysis using multiple linear regression
Weibull and lognormal Taguchi analysis using multiple linear regression
2015,
The paper provides to reliability practitioners with a method (1) to estimate the...
Modeling spot price dependence in Australian electricity markets with applications to risk management
Modeling spot price dependence in Australian electricity markets with applications to risk management
2016,
We examine the dependence structure of electricity spot prices across regional markets...
A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models
A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models
2016,
This paper presents a cross‐country comparison of significant predictors of...
An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market
An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market
2016,
This paper evaluates the performance of a number of modelling approaches for future...
A HOLISTIC APPROACH TO THE PREDICTIVE POWER OF EXPECTED VOLATILITY
A HOLISTIC APPROACH TO THE PREDICTIVE POWER OF EXPECTED VOLATILITY
2015,
The existing literature is highly dispersed regarding the relation between volatility...
Time Series of Zero-Inflated Counts and their Coherent Forecasting
Time Series of Zero-Inflated Counts and their Coherent Forecasting
2015,
Poisson integer‐valued auto‐regressive process of order 1 (PINAR(1)) due...
New Synthetic EWMA and Synthetic CUSUM Control Charts for Monitoring the Process Mean
New Synthetic EWMA and Synthetic CUSUM Control Charts for Monitoring the Process Mean
2016,
Exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts...
A Modified Region Approach for Multivariate Measurement System Capability Analysis
A Modified Region Approach for Multivariate Measurement System Capability Analysis
2016,
Measurement system capability analysis is to determine whether the measurement system...
Monitoring the Shape Parameter of a Weibull Regression Model in Phase II Processes
Monitoring the Shape Parameter of a Weibull Regression Model in Phase II Processes
2016,
In this paper, the interest is focused on monitoring profiles with Weibull...
Phase-I Risk-Adjusted Geometric Control Charts to Monitor Health-care Systems
Phase-I Risk-Adjusted Geometric Control Charts to Monitor Health-care Systems
2016,
Because of the importance of health‐care processes to people life, researchers...
Improved prediction of household expenditure by living standard measures via a unique neural network: the case of Iran
Improved prediction of household expenditure by living standard measures via a unique neural network: the case of Iran
2016,
There is a growing interest in predicting of household expenditure and poverty...
Phase II monitoring of general linear profiles in the presence of between-profile autocorrelation
Phase II monitoring of general linear profiles in the presence of between-profile autocorrelation
2016,
In this paper, an approach based on the U statistic is first proposed to eliminate the...
Criticality Analysis for Maintenance Purposes: A Study for Complex In-service Engineering Assets
Criticality Analysis for Maintenance Purposes: A Study for Complex In-service Engineering Assets
2016,
The purpose of this paper is to establish a basis for a criticality analysis,...
Using a Gaussian Process as a Nonparametric Regression Model
Using a Gaussian Process as a Nonparametric Regression Model
2016,
We show how a Gaussian Process (GP) can be used as a nonparametric regression model to...
A new adaptive support vector machine for diagnosis of diseases
A new adaptive support vector machine for diagnosis of diseases
2014,
Automatic disease diagnosis systems have been used to treat diseases for many years....
An empirical study of the diffusion process of securities and portfolios
An empirical study of the diffusion process of securities and portfolios
1984,
The nature of the stochastic process generating the path of security prices through...
The market model as an appropriate description of the stochastic process generating security returns
The market model as an appropriate description of the stochastic process generating security returns
1983,
The objective of this research was to investigate whether the market model is an...
Multivariate analysis of corporate bond ratings and industry classifications
Multivariate analysis of corporate bond ratings and industry classifications
1984,
Previous statistical models designed to predict bond ratings use a variety of...
Tailored to the extremes: Quantile regression for index-based insurance contract design
Tailored to the extremes: Quantile regression for index-based insurance contract design
2015,
A new approach for weather index‐based insurance design based on Quantile...
Hedging Barrier Options in GARCH Models with Transaction Costs
Hedging Barrier Options in GARCH Models with Transaction Costs
2015,
This study proposes a modified strike‐spread method for hedging barrier options...
Least Squares Sparse Principal Component Analysis: A Backward Elimination Approach to Attain Large Loadings
Least Squares Sparse Principal Component Analysis: A Backward Elimination Approach to Attain Large Loadings
2015,
Sparse principal components analysis (SPCA) is a technique for finding principal...
Laboratory experiment of the structural sensing method using the accurate artificial vibrator
Laboratory experiment of the structural sensing method using the accurate artificial vibrator
2015,
This paper presents a structural sensing method using the accurate artificial vibrator...
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