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Keyword: statistics: regression
Found
1079 papers
in total
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Model-Averaged Confidence Intervals
2016,
Abeysekera Waruni
We develop an approach to evaluating frequentist model averaging procedures by...
Coherent forecasting for count time series using Box‐Jenkins's AR(p) model
2016,
Maiti Raju
During the last three decades, integer‐valued autoregressive process of order p...
Finite mixtures of censored Poisson regression models
2016,
Papatla Purushottam
While right‐censored data are very common in survival analysis, they may also...
D-optimal designs for a continuous predictor in longitudinal trials with discrete-time survival endpoints
2016,
Safarkhani Maryam
In designing an experiment with one single, continuous predictor, the questions are...
A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction
2016,
Wang Xin
Effectively forecasting the failure data in the maintenance stage is essential in many...
A Hybrid Approach for Forecasting Patient Visits in Emergency Department
2016,
Tsui Kwok-Leung
An accurate forecast of patient visits in emergency departments (EDs) is one of the...
Change-Point Detection on Solar Panel Performance Using Thresholded LASSO
2016,
Choe Youngjun
Solar energy is a fast growing energy source and has allowed the development of...
Network resource, regional cluster, and technical position
2016,
Ho Mei Hsiu-Ching
Inter‐firm social links are always helpful to establish mutual trust for...
Distributional Properties of Multivariate Process Capability Indices under Normal and Non-normal Distributions
2017,
Dianda Daniela F
Multivariate capability analysis has been the focus of study in recent years, during...
Research on the influence of online consumer evaluations of solid wood furniture for product sales volume on Taobao
2017,
Li Ying
Online consumer evaluation has been considered as an important medium for consumers to...
A simulated-based genetic algorithm for the forecasting of monthly peak electricity demand
2017,
Adam NoureRoukayya Badurally
This paper is focused on the forecast of the monthly peak electricity demand using...
When Less Is More: Data and Power in Advertising Experiments
2017,
Johnson Garrett A
Yahoo! Research partnered with a nationwide retailer to study the effects of online...
Optimization design of RBF-ARX model and application research on flatness control system
2017,
Zhang Xiu-Ling
The radial basis function (RBF) network and autoregressive exogenous (ARX) model are...
Revisiting Targeted Factors
2017,
Fosten Jack
This paper proposes new methods for ‘targeting’ factors estimated from a...
The Informational Content of the Term Spread in Forecasting the US Inflation Rate: A Nonlinear Approach
2017,
Gupta Rangan
The difficulty in modelling inflation and the significance in discovering the...
On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model
2017,
Cech Frantiek
Recent multivariate extensions of the popular heterogeneous autoregressive model (HAR)...
Treed Avalanche Forecasting: Mitigating Avalanche Danger Utilizing Bayesian Additive Regression Trees
2017,
Blattenberger Gail
Little Cottonwood Canyon Highway is a dead‐end, two‐lane road leading to...
Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient
2016,
Shamshirband Shahaboddin
A principal step in designing dividing hydraulic structures entails determining the...
Pricing in the Primary Market for Cat Bonds: New Empirical Evidence
2016,
Braun Alexander
We present empirical evidence from the primary market for cat bonds, which provides...
Estimation of Complicated Profiles in Phase I, Clustering and S-estimation Approaches
2016,
Shahriari Hamid
Some quality characteristics are well defined when expressed as a function of an...
Multivariate Process Capability Index Based on Data Depth Concept
2016,
Ciupke Krzysztof
The purpose of this paper is to provide a multivariate process capability index, which...
Change-point Detection in Phase I for Profiles with Binary Data and Random Predictors
2016,
He Zhen
In some applications, the quality of a process must be characterized by a profile,...
Enumeration and Evaluation of Small Orthogonal Latin Hypercube Designs for Polynomial Regression Models
2016,
Evangelaras Haralambos
In this paper, we construct and evaluate all nonisomorphic Latin hypercube designs...
Robust Estimation for Weibull Distribution in Partially Accelerated Life Tests with Early Failures
2016,
Sheu Shey-Huei
Maximum likelihood estimation (MLE) is a frequently used method for estimating...
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