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High-dimensional data encountered in genomic and proteomic studies are often limited by the sample size but has a higher......
Support vector regression modeling in recursive just-in-time learning framework for adaptive soft se
Prediction of primary quality variables in real time with adaptation capability for varying process con-ditions is a cri......
Prediction on adsorption ratio of carbon dioxide to methane on coals with multiple linear regression
The multiple linear regression equations for adsorption ratio of CO2/CH4 and its coal quality indexes were built with SP......
Reliable discharge data from rivers forms a vital source of information in hydrological practices.To obviate the need of......
Development of Empirical Equation for Transverse Dispersion Coefficient with Theoretical Base in Sin
In this study, a new equation that can estimate the transverse dispersion coefficient by using only hydraulic data in na......
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Population structure determines sugarcane (Saccharum spp.hybrids) yield, of which canopy structure is a key component.To......
Low nutritional quality of cows milk has increasingly become a severe challenge faced by the dairy industry in China.Mil......
由于光电探测器的温度敏感性和光谱响应的非均匀性,旋转遮光带总辐射表测量的水平面总辐照度不够 准确。本文旨在提出一种多元回归......
Viral Suppression and Regression of HBV-induced Liver Cirrhosis:a Preliminary Data of a Randomized,C
Aims: To investigate clinical and pathological effects of entecavir alone versus thymosin alpha-1 plus entecavir combina......
Predicting cytotoxicity of complex mixtures in high cancer incidence regions of the Huai River Basin
Complex mixture exposures,such as those associated with water sources,are an important issue in health risk assessment.T......
Research in social cognition is dominated by demonstrations of biases people have when making judgments of other people.......
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In Tunisia, the flooding problem arises more and more in recent years.Floods are the most common natural hazard in the c......
The increasing size and complexity of data in research and business applications require a more versatile set of tools f......
Length-biased and right-censored failure time data arise from many fields and their analysis has recently attracted a gr......
Data-driven model selection introduces uncertainties which hamper application of stan-dard theory to the distributions o......
针对常用的回归算法由于回归模型不够稀疏而导致的在线检测速度慢的问题,提出基于相关向量机(RVM)回归的惯性约束聚变(ICF)实验靶......
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In this paper,the machine learning (ML) model is built for slope stability evaluation and meets the high precision and r......
Objective:To explore the influencing factors and logistic regression characteristics of cryptogenic stroke in patients w......
Based on the multivariate mean-shift regression model,we propose a new sparse reduced-rank regression approach to achiev......
Understanding the dynamics that affect the spread of Covid-19 is critical for the development of government measures to ......
China has a vast land area and frequent interconnections between various regions.China\s transportation industry is fac......
Abstract [Objectives] This study was conducted to explore the relationship between morphological traits and body mass tr......
<p> <span style=“font-family:Verdana;”>To address the drawbacks of the traditional Parker test in multivariate linear<......
Assessing the impact of non-governmental organization’s extension programs on sustainable cocoa prod
Globally,cocoa is famous for the production of chocolates and beverages.However,it also serves as a source of raw materi......
Inference Procedures on the Generalized Poisson Distribution from Multiple Samples: Comparisons with
Count data that exhibit over dispersion (variance of counts is larger than its mean) are commonly analyzed using discret......
Design and Implementation of Fresh Vegetable Sales Volume Trend Forecasting System Based on Improved
The forecast of sales volume trend of fresh vegetables has significant referential function for government dominant depa......
This study examined the spatial heterogeneity association of HIV incidence and socio-economic factors including poverty ......
<span style=“font-family:Verdana;”>In the applications of Tobit regression models we always encounter the data sets wh......
<div style=“text-align:justify;”> Precipitation is an important part of the global hydrological cycle. The large- scal......
Sequential Shrinkage Estimate for COX Regression Models with Uncertain Number of Effective Variables
In the applications of COX regression models, we always encounter data sets t<span>hat contain too many variables that o......
An In-Depth Analysis of the Causes of Road Accidents in Developing Countries: Case Study of Douala-D
This paper is aimed at identifying the risk factors that mainly contribute to reckless driving and other related causes ......
Efficacy and adverse reactions of apatinib as secondline or later-line treatment in advanced lung ca
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Thinking on Breeding of Fecundity Genes in Guizhou Black Goats Through Cost-benefit Analysis of Mutt
The total output value of mutton in Northwestern China has accounted for more than 60%of the total output value of anima......
With the rapid development of big data technology, the personal credit evaluation industry has entered a new stage. Amon......
The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected wit......
BACKGROUND Down syndrome(DS)is one of the most common chromosomal aneuploidy diseases.Prenatal screening and diagnostic ......
Early study of Near Infrared Spectroscopy(NIR)for different Textiles Identification and Quantificati
Many new textile materials have been introduced to the market in recent years.Most new materials are not made of only on......
Backgroud: The rapid growth of high-throughput experimental data of biology is providing more and more valuable info......
There are little-noticed points in the plane, which are artifacts of linear regression. The points, which are called piv......
I. INTRODUCTIONConsider the following system of two seemingly unrelated regressions: Y_i=X_iβ_i+ε_i, with...
THROUGHOUT this note, the following notations are used: For a matrix A, A】0 means thatA is positive definite symmetric;......
This paper considers a nonparametric varying coefficient regression with spatial data. A global smoothing procedure is d......
It is common in statistical practice that one needs to make a choice among m + 1 mutually exclusive claims on distributi......
A robust version of local linear regression smoothers augmented with variable bandwidth is studied. The proposed method ......
We consider a robust estimator (t-type regression estimator) of multiple linear regression model by maximizing marginal ......
For regression analysis, some useful Information may have been lost when the responses are right censored. To estimate n......
In this paper, the estimation of joint distribution F(y,z) of (Y, Z) and the estimation in thelinear regression model Y ......