The Lomax regression model with residual analysis: an application to insurance data [0.03%]
带有残差分析的Lomax回归模型在保险数据中的应用
Emrah Altun
Emrah Altun
In this paper, we introduce a new regression model, called Lomax regression model, as an alternative to the gamma regression model. The maximum-likelihood method is used to estimate the unknown parameters of the proposed model, and the fini...
Beyza Cetin,Idil Yavuz
Beyza Cetin
Forecasting is a crucial step in almost all scientific research and is essential in many areas of industrial, commercial, clinical and economic activity. There are many forecasting methods in the literature; but exponential smoothing stands...
Berna Yazici,Mustafa Cavus
Berna Yazici
The Generalized F-test is derived based on the Generalized P-value Method to test the equality of normally distributed group means under unequal variances. There are two approaches to compute the p-value of the GF test, based on beta and ch...
Binary particle swarm optimization as a detection tool for influential subsets in linear regression [0.03%]
基于线性回归中具有影响力的子集的二进制粒子群优化检测工具
G Deliorman,D Inan
G Deliorman
An influential observation is any point that has a huge effect on the coefficients of a regression line fitting the data. The presence of such observations in the data set reduces the sensitivity and validity of the statistical analysis. In...
Taguchi based Case study in the automotive industry: nonconformity decreasing with use of Six Sigma methodology [0.03%]
基于塔奇米的汽车工业案例研究：使用六西格玛方法减少不符合项
Atakan Gerger,Ali Riza Firuzan
Atakan Gerger
In this study, we applied a conceptual Six Sigma/design of experiment hybrid framework that aims to integrate the Taguchi method and Six Sigma for process improvement in a complex industrial environment. In this context, the Six Sigma metho...
Barry C Arnold,B G Manjunath
Barry C Arnold
It will be recalled that the classical bivariate normal distributions have normal marginals and normal conditionals. It is natural to ask whether a similar phenomenon can be encountered involving Poisson marginals and conditionals. However,...
A new outlier detection method based on convex optimization: application to diagnosis of Parkinson's disease [0.03%]
基于凸优化的新离群点检测方法及其在帕金森病诊断中的应用
Pakize Taylan,Fatma Yerlikaya-Özkurt,Burcu Bilgiç Uçak et al.
Pakize Taylan et al.
Neuroscience is a combination of different scientific disciplines which investigate the nervous system for understanding of the biological basis. Recently, applications to the diagnosis of neurodegenerative diseases like Parkinson's disease...
Optimal B-robust estimators for the parameters of the power Lindley distribution [0.03%]
幂Lindley分布参数的最优B-稳健估计量
Berivan Çakmak,Fatma Zehra Doğru
Berivan Çakmak
Parameters of a distribution are generally estimated by using the classical methods such as maximum likelihood (ML) and least squares (LS) estimation. However, these classical methods are very sensitive to outliers. This study, therefore, p...
The design of multiple crop insurance in Indonesia based on revenue risk using the copula model approach [0.03%]
基于收入风险的印尼多元农作物保险设计——运用柯布勒模型方法
H A Rusyda,L Noviyanti,A Z Soleh et al.
H A Rusyda et al.
It is important for Indonesia as a country with agricultural bases to develop crop insurance. Until now, Indonesia has not had any insurance for horticultural crops other than for corn. This paper discusses horticultural multicrop insurance...