Keyword: statistics: regression

Found 1079 papers in total
A Constructive Approach to Estimating Pure Characteristics Demand Models with Pricing
A Constructive Approach to Estimating Pure Characteristics Demand Models with Pricing
2015,
Discrete‐choice demand models are important and fundamental tools for...
Yield Curve Forecasting with the Burg Model
Yield Curve Forecasting with the Burg Model
2017,
We introduce a versatile and robust model that may help policymakers, bond portfolio...
Pricing Problems Under the Nested Logit Model with a Quality Consistency Constraint
Pricing Problems Under the Nested Logit Model with a Quality Consistency Constraint
2017,
We consider pricing problems when customers choose among the products according to the...
Cardboard/sawdust briquettes as biomass fuel: Physical‐mechanical and thermal characteristics
Cardboard/sawdust briquettes as biomass fuel: Physical‐mechanical and thermal characteristics
2016,
This paper elaborates experimental analysis of cardboard/sawdust briquettes as a...
Fruit classification by biogeography-based optimization and feedforward neural network
Fruit classification by biogeography-based optimization and feedforward neural network
2016,
Accurate fruit classification is difficult to accomplish because of the similarities...
Fuzzy risk assessment of mortality after coronary surgery using combination of adaptive neuro-fuzzy inference system and K-means clustering
Fuzzy risk assessment of mortality after coronary surgery using combination of adaptive neuro-fuzzy inference system and K-means clustering
2016,
In this paper, a fuzzy expert system based on adaptive neuro‐fuzzy inference...
Random subspace method with class separability weighting
Random subspace method with class separability weighting
2016,
The random subspace method (RSM) is one of the ensemble learning algorithms widely...
Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China
Risk prediction of product-harm events using rough sets and multiple classifier fusion: an experimental study of listed companies in China
2016,
With the increasing of frequency and destructiveness of product‐harm events,...
Incorporating Confidence Intervals on the Decision Threshold in Logistic Regression
Incorporating Confidence Intervals on the Decision Threshold in Logistic Regression
2016,
This paper discusses an application of confidence intervals to the threshold decision...
Process Capability Indices for Logistic Regression Profile
Process Capability Indices for Logistic Regression Profile
2016,
A profile is a relationship between a response variable and one or more independent...
Confirmatory Factor Analysis of Ordinal Data Using Full-Information Adaptive Quadrature
Confirmatory Factor Analysis of Ordinal Data Using Full-Information Adaptive Quadrature
2016,
We conducted confirmatory factor analysis (CFA) of responses (N=803) to a...
Multiple Hypothesis Testing for Variable Selection
Multiple Hypothesis Testing for Variable Selection
2016,
We propose two new procedures based on multiple hypothesis testing for correct support...
The Buckley‐James Estimator and Induced Smoothing
The Buckley‐James Estimator and Induced Smoothing
2016,
The Buckley–James (BJ) estimator is known to be consistent and efficient for a...
The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach
The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach
2016,
This paper examines overreaction of oil price forecasters. It takes into account...
Automatic Schaeffer's gestures recognition system
Automatic Schaeffer's gestures recognition system
2016,
Schaeffer's sign language consists of a reduced set of gestures designed to help...
Forecasting financial time series using a methodology based on autoregressive integrated moving average and Taylor expansion
Forecasting financial time series using a methodology based on autoregressive integrated moving average and Taylor expansion
2016,
Financial time series prediction is regarded as one of the most challenging job...
An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting
An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting
2016,
For forecasting nonstationary and nonlinear energy prices time series, a novel...
LASSO-Type Penalties for Covariate Selection and Forecasting in Time Series
LASSO-Type Penalties for Covariate Selection and Forecasting in Time Series
2016,
This paper studies some forms of LASSO‐type penalties in time series to reduce...
Regularisation Parameter Selection Via Bootstrapping
Regularisation Parameter Selection Via Bootstrapping
2016,
Penalised likelihood methods, such as the least absolute shrinkage and selection...
Inference in Semi-Parametric Dynamic Models for Repeated Count Data
Inference in Semi-Parametric Dynamic Models for Repeated Count Data
2016,
This paper deals with a longitudinal semi‐parametric regression model in a...
Impact of conservation agriculture technology on household welfare in Zambia
Impact of conservation agriculture technology on household welfare in Zambia
2016,
This article examines the determinants and impact of conservation agriculture (CA)...
Multivariate Forecasting with BVARs and DSGE Models
Multivariate Forecasting with BVARs and DSGE Models
2016,
In this paper I assess the ability of Bayesian vector autoregressions (BVARs) and...
Comparison of efficiency of estimates by the methods of least absolute deviations and least squares in the autoregression model with random coefficient
Comparison of efficiency of estimates by the methods of least absolute deviations and least squares in the autoregression model with random coefficient
2016,
For the model of autoregression with a random coefficient, the estimate by the least...
Optimal Learning in Linear Regression with Combinatorial Feature Selection
Optimal Learning in Linear Regression with Combinatorial Feature Selection
2016,
We present a new framework for sequential information collection in applications where...
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