Results 1 to 10 of about 1,545,095 (249)
Albatross analytics a hands-on into practice: statistical and data science application
Journal of Big Data, 2022 Albatross Analytics is a statistical and data science data processing platform that researchers can use in disciplines of various fields. Albatross Analytics makes it easy to implement fundamental analysis for various regressions with random model ...
Rezzy Eko Caraka +7 more
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Likelihood of propensity to travel: Prediction based on socio-demographic factors [PDF]
Mенаџмент у хотелијерству и туризму, 2021 The purpose of this research is to provide some insights into socio-demographic determinants of predicting the likelihood of residents propensity to travel. Using the quota sampling technique, data collection was carried out from October to December 2019,
Zahirović Sejfudin +3 more
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Maximum Likelihood, Profile Likelihood, and Penalized Likelihood: A Primer [PDF]
American Journal of Epidemiology, 2013 The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive little or no education in the conceptual underpinnings of the approach. Here we provide a primer on maximum likelihood and some important extensions which have proven useful in epidemiologic research, and which reveal connections between maximum likelihood
Cole, Stephen R +2 more
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Logistic Regression Based on Individual-Level Predictors and Aggregate-Level Responses
Mathematics, 2023 We propose estimation methods to conduct logistic regression based on individual-level predictors and aggregate-level responses. We derive the likelihood of logistic models in this situation and proposed estimators with different optimization methods ...
Zheng Xu
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Mathematics, 2023 Continuous probability distributions can handle and express different data within the modeling process. Continuous probability distributions can be used in the disclosure and evaluation of risks through a set of well-known basic risk indicators.
Mohamed Ibrahim +4 more
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A Compound Class of Inverse-Power Muth and Power Series Distributions
Axioms, 2023 This paper introduces the inverse-power Muth power series model, which is a composition of the inverse-power Muth and the class of power series distributions.
Leonardo Barrios-Blanco +3 more
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Using Hierarchical Likelihood Towards Support Vector Machine: Theory and Its Application
IEEE Access, 2020 The H-likelihood method proposed by Lee and Nelder (1996) is extensively used in a wide range of data. In terms of direction, repetitive measured data within classification can be examined employing hierarchical generalized linear models (HGLMs). Whether
Rezzy Eko Caraka +3 more
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Advances in Mathematics, 2023 Computing all critical points of a monomial on a very affine variety is a fundamental task in algebraic statistics, particle physics and other fields. The number of critical points is known as the maximum likelihood (ML) degree. When the variety is smooth, it coincides with the Euler characteristic.
D. Agostini (Daniele) +6 more
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BOARD CHARACTERISTICS AND THE LIKELIHOOD OF FINANCIAL STATEMENT FRAUD
Copernican Journal of Finance & Accounting, 2020 The study examines the effect of board characteristics on financial statement fraud likelihood of quoted manufacturing firms in Nigeria. The scope of the study covers board attributes such as board independence, board expertise and board diligence; and ...
Muhammed Lawal Subair +4 more
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Identify and Prioritize the Potential Risks of the Training Process of Target Community at Governance Organizations [PDF]
Pizhūhish/hā-yi rahbarī va mudīriyyat-i āmūzishī, 2018 Identification, analysis and Risk Prioritization, can play an important role in the success of the project. This study focuses on the training institutions of target community at governance organizations with the aim of reducing work-related accidents ...
Bakhtiar Ostadi, Reza Zare
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