GOODNESS-OF-FIT相关论文
In big data analysis for detecting rare and weak signals among n features,the Higher Criticism test(HC),Berk-Jones test(......
This talk presents a new goodness-of-fit test for an ordered stereotype model used for an ordinal response variable....
In this paper,a finite mixture of m-Brlang distributions is proposed.Different moments,shape characteristics and paramet......
Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation o
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7......
Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation o
Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic inter......
本文利用经验欧氏似然方法和垂直密度表示（VDR）构造一类新的拟合优度检验,并讨论在简单零假设下,检验统计量的极限分布;然后利用极大......
固体火箭发动机随机仿真中的统计检验和稳健平滑技术徐伟，朱燕堂固体火箭发动机可靠性评定常用的传统方法一般需要较大的样本容量才......
针对传统雷达抗干扰方法不能有效识别、抑制转发式欺骗干扰,现阶段欺骗干扰识别方法对于低、慢、小干扰机平台的欺骗干扰识别效果......
均值方差模型广泛应用于行为、教育、医学、社会和心理学的研究.经典的极大似然估计对于异常点和分布扰动易受影响.本文基于目标函......
本文研究了影响趋势面拟合度的主要因素,提出了由参与趋势分析的数据个数n、数据的标准偏差σ和所期望的拟合度c估计最佳趋势面次......
基于高维数据流在实时检测问题中的重要性,将EWMA统计量与拟合优度检验及异质混合物检验相结合,提出一种监控高维数据流的新方法。......
为了确定拟合冷却猪肉中假单胞菌低温下生长的最适模型,分别对低温（0、5、10℃）条件下托盘和真空包装冷却猪肉中假单胞菌的生长特点......
针对传统抗干扰方法无法有效对抗灵巧噪声干扰的缺陷,提出了一种基于拟合优度检验实现灵巧噪声干扰识别的方法。分别根据Swerling......
Several researches have been done to provide better alternative to the existing replacement models, but the research wor......
This study explored and reviewed the logistic regression (LR) model, a multivariable method for modeling the relationshi......
过原点回归直线方程y=b0x的拟合效果可以用拟合度f表示,而y=b0x与最优回归直线方程y=a+bx的拟合差异则可以用它们的斜率比Sr表示。......
Pseudodistance Methods Using Simultaneously Sample Observations and Nearest Neighbour Distance Obser
Using the fact that a multivariate random sample of n observations also generates n nearest neighbour distance (NND) uni......
The logistic regression model has been become commonly used to study the association between a binary response variable;......
We propose a subsampling method for robust estimation of regression models which is built on classical methods such as t......
