Results 41 to 50 of about 17,830,382 (307)
Estimation of Beta-Pareto Distribution Based on Several Optimization Methods
Mathematics, 2020 This paper is concerned with the maximum likelihood estimators of the Beta-Pareto distribution introduced in Akinsete et al. (2008), which comes from the mixing of two probability distributions, Beta and Pareto.
Badreddine Boumaraf +2 more
doaj +1 more source
A Novel Correction for the Adjusted Box-Pierce Test
Frontiers in Applied Mathematics and Statistics, 2022 The classical Box-Pierce and Ljung-Box tests for auto-correlation of residuals possess severe deviations from nominal type I error rates. Previous studies have attempted to address this issue by either revising existing tests or designing new techniques.
Sidy Danioko +4 more
doaj +1 more source
Model Selection and Post Selection to Improve the Estimation of the ARCH Model
Journal of Risk and Financial Management, 2022 The Autoregressive Conditionally Heteroscedastic (ARCH) model is useful for handling volatilities in economical time series phenomena that ARIMA models are unable to handle. The ARCH model has been adopted in many applications that contain time series data such as financial market prices, options, commodity prices and the oil industry.
Marwan Al-Momani, Abdaljbbar B. A. Dawod
openaire +2 more sources
A population genetics model of marker-assisted selection [PDF]
, 1997 A deterministic two-loci model was developed to predict genetic response to marker-assisted selection (MAS) in one generation and in multiple generations.
Luo, Z. W. +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
Handwritten Digit Recognition: Hyperparameters-Based Analysis
Applied Sciences, 2020 Neural networks have several useful applications in machine learning. However, benefiting from the neural-network architecture can be tricky in some instances due to the large number of parameters that can influence performance.
Saleh Albahli +3 more
doaj +1 more source
CoRR, 2012 Appears in Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence (UAI2004)
Omid Madani +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Adolescents with high‐risk cancer face complex developmental, psychosocial, and ethical challenges that extend beyond disease‐directed treatment. Although international recommendations exist for communication, psychosocial care, pediatric palliative care, survivorship, and shared decision‐making, these have largely evolved within ...
Johanna M. C. Blom +15 more
wiley +1 more source
Animal, 2018 Recent reports on livestock environmental impact based on life cycle assessment (LCA) did not fully consider the case of the dairy goat. Assignment of an environmental impact (e.g.
P.P. Danieli, B. Ronchi
doaj +1 more source
Predictive Bayesian selection of multistep Markov chains, applied to the detection of the hot hand and other statistical dependencies in free throws [PDF]
Royal Society Open Science, 2019 Consider the problem of modelling memory effects in discrete-state random walks using higher-order Markov chains. This paper explores cross-validation and information criteria as proxies for a model’s predictive accuracy. Our objective is to select, from
Joshua C. Chang
doaj +1 more source