Results 21 to 30 of about 140,664 (140)
A Finite-State Stationary Process with Long-Range Dependence and Fractional Multinomial Distribution
Fractal and Fractional, 2022 We propose a discrete-time, finite-state stationary process that can possess long-range dependence. Among the interesting features of this process is that each state can have different long-term dependency, i.e., the indicator sequence can have a ...
Jeonghwa Lee
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JOIV: International Journal on Informatics Visualization, 2022 Identifying building conditions for user safety is an urgent matter, especially in earthquake-prone areas. Clustering buildings according to their conditions in the categories of danger, vulnerable, normal, and safe is important information for residents
Rohmat Saedudin +5 more
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Multivariate Krawtchouk polynomials and composition birth and death processes
, 2016 This paper defines the multivariate Krawtchouk polynomials, orthogonal on the multinomial distribution, and summarizes their properties as a review. The multivariate Krawtchouk polynomials are symmetric functions of orthogonal sets of functions defined ...
Griffiths, Robert
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Building and using semiparametric tolerance regions for parametric multinomial models
, 2009 We introduce a semiparametric ``tubular neighborhood'' of a parametric model in the multinomial setting. It consists of all multinomial distributions lying in a distance-based neighborhood of the parametric model of interest. Fitting such a tubular model
Lindsay, Bruce G., Liu, Jiawei
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Sequential procedure for test of uniformity in multinomial models
, 2005 In this thesis we deal with a sequential procedure for testing uniformity in a given multinomial distribution using inverse sampling. From a decision theoretic point of view, we devise an efficient stopping rule that satisfies a pre-determined P ...
Zhen, Hai
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Parameter Estimation of the Dirichlet Distribution Based on Entropy
Axioms, 2023 The Dirichlet distribution as a multivariate generalization of the beta distribution is especially important for modeling categorical distributions. Hence, its applications vary within a wide range from modeling cell probabilities of contingency tables ...
Büşra Şahin +4 more
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A Neural Network Approach for Pricing Correlated Health Risks
RisksIn recent years, the actuarial literature involving machine learning in insurance pricing has flourished. However, most actuarial machine learning research focuses on property and casualty insurance, while using such techniques in health insurance is yet
Alessandro G. Laporta +2 more
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Frontiers in Psychology, 2017 Statistical analysis is crucial for research and the choice of analytical technique should take into account the specific distribution of data. Although the data obtained from health, educational, and social sciences research are often not normally ...
Roser Bono +5 more
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On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices. [PDF]
PLoS ONE, 2017 A semi-nonparametric generalized multinomial logit model, formulated using orthonormal Legendre polynomials to extend the standard Gumbel distribution, is presented in this paper.
Ke Wang +3 more
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Applied Sciences, 2019 A new statistical method for the quality control of the positional accuracy, useful in a wide range of data sets, is proposed and its use is illustrated through its application to airborne laser scanner (ALS) data.
Francisco Javier Ariza-López +3 more
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