Results 91 to 100 of about 152,517 (290)
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Semi-Markov Model of MASS Voyage [PDF]
TransNavThe paper presents the readiness/safety model for the sea voyage of Maritime Autonomous Surface Ship (MASS), based on Semi-Markov process. The states of MASS during the voyage were defined as triplets of intentional type of MASS operations, reliability ...
Teresa Abramowicz-Gerigk +3 more
doaj +1 more source
Construction and Stationary Distribution of the Fleming-Viot Process with Viability Selection [PDF]
This paper provides an explicit construction of the Fleming-Viot process with viability selection in a Bayesian nonparametric framework, and derives its stationary distribution. The measure-valued diffusion is obtained as the infinite population limit of
Matteo Ruggiero, Stephen G. Walker
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High Relative Accuracy Computations With Covariance Matrices of Order Statistics
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz +3 more
wiley +1 more source
Semi-Markov models can be used to compute the reliability of virtually any fault-tolerant system. However, the process of delineating all of the states and transitions in a model of a complex system can be devastingly tedious and error-prone.
Johnson, S. C.
core +1 more source
Optimality of estimators for misspecified semi-Markov models [PDF]
, 2006 Suppose we observe a geometrically ergodic semi-Markov process and have a parametric model for the transition distribution of the embedded Markov chain, for the conditional distribution of the inter-arrival times, or for both.
Müller, Ursula U. +2 more
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A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops
Naval Research Logistics (NRL), EarlyView.ABSTRACT The growing need for data storage in data centers has increased the demand for mechanical hard disks due to their low cost and high reliability. Aluminum substrates are the most popular base plates for mechanical hard disks because of their high hardness and low cost.
Jun Xu +4 more
wiley +1 more source
Bayesian Nonparametric Hidden Semi-Markov Models
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
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Structural Analysis of First Passage Times of Skip-Free Semi-Markov Processes and Related Limit Theorems [PDF]
, 2008 A skip-free semi-Markov process is considered, which moves throughits state space N = {0, 1, 2, ・ ・ ・ } only in a lattice continuous manner. Such processescan be considered to generalize a class of birth-death processes.
Namikawa Atsushi, Sumita Ushio
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Nordic Journal of Botany, EarlyView.The Irano‐Turanian Floristic Region harbors a rich flora, but our understanding of the development of this diversity is limited by a lack of data on phylogenetic relationships and biogeographic patterns of endemic and more widespread plants. Hypotheses of in situ diversification versus allopatric diversification were tested using Iris subgen. Scorpiris,
Mona Salimbahrami +4 more
wiley +1 more source