Results 101 to 110 of about 22,043,161 (356)

A COMPARISON OF BOOTSTRAP AND MONTE CARLO APPROACHES TO TESTING FOR SYMMETRY IN THE HOUCK'S MODEL [PDF]

Russian Journal of Agricultural and Socio-Economic Sciences, 2013
The power of the Houck's model of asymmetry is examined via bootstrap and Monte Carlo techniques. The results of bootstrap and Monte Carlo simulations indicate that the power of the Houck's test for asymmetry depends on sample size, level of asymmetry ...
Henry de-Graft Acquah
doaj  

Numerical bootstrap in quantum mechanics

Physics Letters B, 2021
We study the effectiveness of the numerical bootstrap techniques recently developed in [1] for quantum mechanical systems. We find that for a double well potential the bootstrap method correctly captures non-perturbative aspects.
Jyotirmoy Bhattacharya, Diptarka Das, Sayan Kumar Das, Ankit Kumar Jha, Moulindu Kundu   +4 more
doaj  

Moment Consistency of the Exchangeably Weighted Bootstrap for Semiparametric M-Estimation [PDF]

arXiv, 2011
The bootstrap variance estimate is widely used in semiparametric inferences. However, its theoretical validity is a well known open problem. In this paper, we provide a {\em first} theoretical study on the bootstrap moment estimates in semiparametric models.
arxiv  

Middle- and Long-Term Streamflow Forecasting and Uncertainty Analysis Using Lasso-DBN-Bootstrap Model

Water resources management, 2021
H. Chu, Jiahua Wei, Yuan Jiang
semanticscholar   +1 more source

On Splitting Training and Validation Set: A Comparative Study of Cross-Validation, Bootstrap and Systematic Sampling for Estimating the Generalization Performance of Supervised Learning

Journal of Analysis and Testing, 2018
Model validation is the most important part of building a supervised model. For building a model with good generalization performance one must have a sensible data splitting strategy, and this is crucial for model validation.
Yun Xu, R. Goodacre
semanticscholar   +1 more source

Abiotic Factors and Plant Communities Shape the Distribution of Soil Pathogenic Oomycetes in Chinese Grasslands

Advanced Science, EarlyView.
The continental‐scale study reveals that soil phosphorus strongly predicts the richness of soil pathogenic oomycetes in Chinese grasslands, while precipitation and plant species richness drive their absolute abundance; modeling predicts ≈42% of grassland areas may face elevated oomycete disease risk under future climate scenarios, especially in typical
Junsheng Ke, Chen Zhu, Peixi Jiang, Peng Zhang, Kui Hu, Yilin Dang, Yao Xiao, Mu Liu, Huiying Liu, Xiang Liu, Ville‐Petri Friman   +10 more
wiley   +1 more source

Inference under random limit bootstrap measures [PDF]

arXiv, 2019
Asymptotic bootstrap validity is usually understood as consistency of the distribution of a bootstrap statistic, conditional on the data, for the unconditional limit distribution of a statistic of interest. From this perspective, randomness of the limit bootstrap measure is regarded as a failure of the bootstrap.
arxiv  

Genomic Variation Underpins Genetic Divergence and Differing Salt Resilience in Sesbania bispinosa

Advanced Science, EarlyView.
Sesbania, a leguminous halophyte, thrives in saline soils. Comparative genomics reveals key genomic variations—particularly chromosomal inversions—are identified as contributors to population differentiation and salt resilience. These findings advance the understanding of genomic variation driving evolution and phenotypic differentiation and offer ...
Gai Huang, Xiaofei Wang, Chengli Liu, Kaixuan He, Xiu‐Li Hou, Haofei Luo, Shuaibin Zhang, Changqing You, Yajun Jia, Fuqiang Wang, Xianwei Song, Guodao Liu, Xian Deng, Xiaofeng Cao   +13 more
wiley   +1 more source

Investigating Mortality Uncertainty Using the Block Bootstrap

Journal of Probability and Statistics, 2010
This paper proposes a block bootstrap method for measuring mortality risk under the Lee-Carter model framework. In order to take account of all sources of risk (the process risk, the parameter risk, and the model risk) properly, a block bootstrap is ...
Xiaoming Liu, W. John Braun
doaj   +1 more source

Bootstrapping a Change-Point Cox Model for Survival Data [PDF]

arXiv, 2013
This paper investigates the (in)-consistency of various bootstrap methods for making inference on a change-point in time in the Cox model with right censored survival data. A criterion is established for the consistency of any bootstrap method. It is shown that the usual nonparametric bootstrap is inconsistent for the maximum partial likelihood ...
arxiv