Results 21 to 30 of about 89,585 (267)
Joint lifetime modeling with matrix distributions
Dependence Modeling, 2023 Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of aging toward its inevitable absorption.
Albrecher Hansjörg +2 more
doaj +1 more source
flexCWM: A Flexible Framework for Cluster-Weighted Models
Journal of Statistical Software, 2018 Cluster-weighted models (CWMs) are mixtures of regression models with random covariates. However, besides having recently become rather popular in statistics and data mining, there is still a lack of support for CWMs within the most popular statistical ...
Angelo Mazza +2 more
doaj +1 more source
Variable selection in finite mixture of median regression models using skew-normal distribution
Statistical Theory and Related Fields, 2023 A regression model with skew-normal errors provides a useful extension for traditional normal regression models when the data involve asymmetric outcomes.
Xin Zeng, Yuanyuan Ju, Liucang Wu
doaj +1 more source
logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model
Journal of Statistical Software, 2018 Relative risk regression using a log-link binomial generalized linear model (GLM) is an important tool for the analysis of binary outcomes. However, Fisher scoring, which is the standard method for fitting GLMs in statistical software, may have ...
Mark W. Donoghoe, Ian C. Marschner
doaj +1 more source
Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data
The Baltic Journal of Road and Bridge Engineering, 2016 The load equivalency factors for pavement design currently in use by the Hungarian standard have been developed using Weigh-in-Motion data obtained during the first few years of operations after installing some 30 measuring sites in Hungary in 1996.
Zoltán Soós, Csaba Tóth, Dávid Bóka
doaj +1 more source
Analogy-Based Approaches to Improve Software Project Effort Estimation Accuracy
Journal of Intelligent Systems, 2019 In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated.
Resmi V, Vijayalakshmi S
doaj +1 more source
Estimating parameters of factor analysis model maximum likelihood method)) by using EM algorithm with application [PDF]
مجلة التربية والعلم, 2009 Expectation maximization algorithm (EM) is used to create estimator with the same qualities of maximum likelihood Estimator taking into consideration the existence of two types of data, Data viewing (observed data) and hidden data (missing data), in this
Thanoon alshakerchy
doaj +1 more source
Spatially multi-scale dynamic factor modeling via sparse estimation
International Journal of Mathematics for Industry, 2019 In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
doaj +1 more source
Risks, 2020 This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that we develop an Expectation-Maximization (EM) type algorithm for maximum ...
George Tzougas
doaj +1 more source
SQUAREM: An R Package for Off-the-Shelf Acceleration of EM, MM and Other EM-Like Monotone Algorithms
Journal of Statistical Software, 2020 We discuss the R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence. These include the well-known expectation-maximization algorithm, majorize-minimize (MM), and other EM-like algorithms such as expectation ...
Yu Du, Ravi Varadhan
doaj +1 more source