Annika Betken,Giorgio Micali,Johannes Schmidt-Hieber
Annika Betken
The ordinal patterns of a fixed number of consecutive values in a time series are the spatial ordering of these values. Counting how often a specific ordinal pattern occurs in a time series provides important insights into the properties of...
A generalized Hosmer-Lemeshow goodness-of-fit test for a family of generalized linear models [0.03%]
广义逻辑斯蒂模型的Hosmer-Lemeshow吻合度检验的推广
Nikola Surjanovic,Richard A Lockhart,Thomas M Loughin
Nikola Surjanovic
Generalized linear models (GLMs) are very widely used, but formal goodness-of-fit (GOF) tests for the overall fit of the model seem to be in wide use only for certain classes of GLMs. We develop and apply a new goodness-of-fit test, similar...
Samuel Pawel,Frederik Aust,Leonhard Held et al.
Samuel Pawel et al.
The ongoing replication crisis in science has increased interest in the methodology of replication studies. We propose a novel Bayesian analysis approach using power priors: The likelihood of the original study's data is raised to the power...
A Cholaquidis,R Fraiman,L Moreno
A Cholaquidis
The lens depth of a point has been recently extended to general metric spaces, which is not the case for most depths. It is defined as the probability of being included in the intersection of two random balls centred at two random points X ...
Robust and efficient estimation of nonparametric generalized linear models [0.03%]
稳健且高效的非参数广义线性模型估计方法
Ioannis Kalogridis,Gerda Claeskens,Stefan Van Aelst
Ioannis Kalogridis
Generalized linear models are flexible tools for the analysis of diverse datasets, but the classical formulation requires that the parametric component is correctly specified and the data contain no atypical observations. To address these s...
Homogeneity tests for one-way models with dependent errors under correlated groups [0.03%]
相关组一方模型中具有相依误差的同质性检验
Yuichi Goto,Koichi Arakaki,Yan Liu et al.
Yuichi Goto et al.
We consider the problem of testing for the existence of fixed effects and random effects in one-way models, where the groups are correlated and the disturbances are dependent. The classical F-statistic in the analysis of variance is not asy...
Testing conditional multivariate rank correlations: the effect of institutional quality on factors influencing competitiveness [0.03%]
机构质量对影响竞争力因素的影响的条件多元秩相关性检验
Jone Ascorbebeitia,Eva Ferreira,Susan Orbe
Jone Ascorbebeitia
Joint distribution between two or more variables could be influenced by the outcome of a conditioning variable. In this paper, we propose a flexible Wald-type statistic to test for such influence. The test is based on a conditioned multivar...
Kanti V Mardia
Kanti V Mardia
Comments on: Process modeling for slope and aspect with application to elevation data maps [0.03%]
地形图中斜率和面向方面的过程模型的评论
Sudipto Banerjee
Sudipto Banerjee
Arthur Berg,Dimitris Politis,Kagba Suaray et al.
Arthur Berg et al.
Kernel-based nonparametric hazard rate estimation is considered with a special class of infinite-order kernels that achieves favorable bias and mean square error properties. A fully automatic and adaptive implementation of a density and haz...