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Global Testing under Sparse Alternatives: ANOVA, Multiple Comparisons and the Higher Criticism
Detecting a sparse signal analysis of variance higher criticism minimax detection incoherence random matrices suprema of Gaussian processes compressive sensing
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2015/6/17
Testing for the significance of a subset of regression coefficients in a linear model, a staple of statistical analysis, goes back at least to the work of Fisher who introduced the analysis of varianc...
基于ANOVA-like 方差分解的非线性系统控制性能评估
控制性能评估 非线性系统 最小方差性能下限 ANOVA-like 方差分解
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2014/4/11
针对实际控制回路大多包含非线性特征, 导致评估结果存在偏差的问题, 以一类非线性系统为对象, 首先分析其最小方差性能下限的存在性, 并推导出其与系统干扰项的关系式; 然后用正交最小二乘方法辨识系统闭环模型, 进而使用ANOVA-like 方差分解公式估计超前干扰项对输出方差的贡献, 由此获得非线性系统的控制性能; 最后, 将所提出的方法与传统方法通过仿真实例进行比较. 仿真结果表明, 所提出的方法...
An ANOVA Test for Parameter Estimability using Data Cloning with Application to Statistical Inference for Dynamic Systems
Maximum Likelihood Estimation Over -Parametrized Models Markov Chain Monte Carlo Parameter Identifiability Differential Equation Models
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2013/6/14
Models for complex systems are often built with more parameters than can be uniquely identified by available data. Because of the variety of causes, identifying a lack of parameter identifiability typ...
Conjugate distributions in hierarchical Bayesian ANOVA for computational efficiency and assessments of both practical and statistical significance
ANOVA xed eects random eects variance components hierar-chical Bayes multilevel model constraints
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2013/4/27
Assessing variability according to distinct factors in data is a fundamental technique of statistics. The method commonly regarded to as analysis of variance (ANOVA) is, however, typically confined to...
Hierarchical array priors for ANOVA decompositions
array-valued data Bayesian estimation cross-classi ed data factorial design MANOVA penalized regression tensor Tucker product sparse data.
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2012/9/17
ANOVA decompositions are a standard method for describing and estimating heterogeneity among the means of a response variable across levels of multiple categorical factors. In such a decomposition, th...
Smoothed ANOVA with spatial effects as a competitor to MCAR in multivariate spatial smoothing
Analysis of variance Bayesian inference conditionally autore gressive model hierarchical model smoothing
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2010/11/8
Rapid developments in geographical information systems (GIS)continue to generate interest in analyzing complex spatial datasets.One area of activity is in creating smoothed disease maps to de-scribe t...
On the maximal size of Large-Average and ANOVA-fit Submatrices in a Gaussian Random Matrix
analysis of variance data mining Gaussian random matrix large average sub-matrix random matrix theory
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2010/11/29
We investigate the maximal size of distinguished submatrices of a Gaussian random matrix. Of interest are submatrices whose entries have average greater than or equal to a positive constant, and subma...
The impact of the Weibull distribution on the performance of the single-factor ANOVA model
ANOVA robustness Weibull ANOVA normality assumption Shape parameter Scale parameter Normality violation
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2010/9/14
This paper conducts a simulation study of the effects of violating the ANOVA normality assumption in the presence of Weibull data. Twelve specific Weibull distributions, characterizing the life data o...
Statistical procedures for research on L2 reading comprehension：An examination of ANOVA and Regression Models
second language reading comprehension statistical procedures analysis of variance regression models methods of reading research
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2009/8/6
Through a discussion of research that examines a plethora of variables involved in second language (L2) reading comprehension, the present study attempts to examine and analyze the statistical procedu...
A Full ANOVA Model for the Estimation of True and Error Variance
CEPHALOMETRICS ERROR RELIABILITY STATISTICS VARIANCE
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2009/2/26
A detailed description of sampling designs for assessing the reliability of cephalometric measurements, emphasing distinctions between 1) true and observed variance, 2) random and systemic compone...