A Baíllo,J E Chacón
A Baíllo
The home range of an animal describes the geographic area where this individual spends most of the time while doing its usual activities. From a statistical viewpoint, the problem of home range estimation can be considered as a set estimati...
A proportional-hazards model for survival analysis and long-term survivors modeling: application to amyotrophic lateral sclerosis data [0.03%]
生存分析及长期存活者模型的propotional-hazards模型——应用ALS数据进行演示
Tasnime Hamdeni,Soufiane Gasmi
Tasnime Hamdeni
The majority of survival data are affected by explanatory variables. We develop a new regression model for survival data analysis. As an alternative to standard mixture models, another model is proposed to describe the eventual presence of ...
A semi-analytical solution to the maximum-likelihood fit of Poisson data to a linear model using the Cash statistic [0.03%]
卡什统计量的泊松数据拟合直线模型的最大似然解的半解析解法
Massimiliano Bonamente,David Spence
Massimiliano Bonamente
The Cash statistic, also known as the C statistic, is commonly used for the analysis of low-count Poisson data, including data with null counts for certain values of the independent variable. The use of this statistic is especially attract...
A Clipped Gaussian Geo-Classification model for poverty mapping [0.03%]
用于贫困地图匹配的A Clipped Gaussian Geo-Classification模型
Richard Puurbalanta
Richard Puurbalanta
The importance of discrete spatial models cannot be overemphasized, especially when measuring living standards. The battery of measurements is generally categorical with nearer geo-referenced observations featuring stronger dependencies. Th...
Wavelet threshold based on Stein's unbiased risk estimators of restricted location parameter in multivariate normal [0.03%]
基于Stein无偏风险估计的多元正态分布限制下位置参数的阈值小波方法研究
H Karamikabir,M Afshari,F Lak
H Karamikabir
In this paper, the problem of estimating the mean vector under non-negative constraints on location vector of the multivariate normal distribution is investigated. The value of the wavelet threshold based on Stein's unbiased risk estimators...
Jing Zhang,Yanyan Liu
Jing Zhang
For ultrahigh-dimensional data, independent feature screening has been demonstrated both theoretically and empirically to be an effective dimension reduction method with low computational demanding. Motivated by the Buckley-James method to ...
Lahiru Wickramasinghe,Alexandre Leblanc,Saman Muthukumarana
Lahiru Wickramasinghe
We introduce an approach to model the batting outcomes of baseball batters based on the weighted likelihood approach and make use of our methodology to estimate commonly used baseball batting metrics. The weighted likelihood allows the shar...
Estimation of common location parameter of several heterogeneous exponential populations based on generalized order statistics [0.03%]
基于广义订单统计的若干异质指数总体公共位置参数的估计
Qazi J Azhad,Mohd Arshad,Amit Kumar Misra
Qazi J Azhad
In this article, several independent populations following exponential distribution with common location parameter and unknown and unequal scale parameters are considered. From these populations, several independent samples of generalized o...
Opeoluwa F Oyedele
Opeoluwa F Oyedele
At the core of multivariate statistics is the investigation of relationships between different sets of variables. More precisely, the inter-variable relationships and the causal relationships. The latter is a regression problem, where one s...
Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions [0.03%]
基于边缘像素的二维图像相似性量化及在鞋印同一认定中的应用研究
Soyoung Park,Alicia Carriquiry
Soyoung Park
We propose a novel method to quantify the similarity between an impression (Q) from an unknown source and a test impression (K) from a known source. Using the property of geometrical congruence in the impressions, the degree of corresponden...