2 edition of **Markovian flow model: the analysis of movement in large-scale (military) personnel systems** found in the catalog.

Markovian flow model: the analysis of movement in large-scale (military) personnel systems

John William Merck

- 305 Want to read
- 18 Currently reading

Published
**1971**
by Rand Corporation in Santa Monica, Calif
.

Written in English

- United States. -- Air Force -- Personnel management -- Mathematical models.

**Edition Notes**

Statement | [by] J. W. Merck and Kathleen Hall. |

Series | Rand Corporation. Rand report -- R-514., R (Rand Corporation) -- R-514. |

Contributions | Hall, Kathleen. |

The Physical Object | |
---|---|

Pagination | 117 p. |

Number of Pages | 117 |

ID Numbers | |

Open Library | OL14344547M |

In this article we obtain rigorously the homogenization limit for a fluid-structure-reactive flow system. It consists of cell tissue and intercellular liquid, transporting solutes. The cell tissue is assumed to be linearly elastic and deforming with a viscous nonstationary by: An interesting analysis related to accounts receivable is a trend line of the proportion of customer sales that are paid at the time of sale, noting the payment type used. Changes in a company's selling procedures and policies may shift sales toward or away from up-front payments, which therefore has an impact on the amount and characteristics.

Debris flows are accelerated downhill by gravity and tend to follow steep mountain channels that debouche onto alluvial fans or front, or 'head' of a debris-flow surge often contains an abundance of coarse material such as boulders and logs that impart a great deal of ng behind the high-friction flow head is a lower-friction, mostly liquefied flow body . History. Prior to the development of numerical modeling, analog modeling, which simulates nature with reduced scales in mass, length, and time, was one of the major ways to tackle geological problems, for instance, to model the formation of thrust belts. Simple analytic or semi-analytic mathematical models were also used to deal with relatively simple geological problems .

Chennubhotla and Bahar have firmly established the connection between the Markovian transmission model and the physical elastic network model through the mapping between Markovian hitting time and the equilibrium fluctuation dynamics of residues. Our aim here is different, and it is to study how different parts of a macromolecular machinery respond to signal by: Ibragimov A () On the Existence and Uniqueness of Equilibrium Situations in Markovian Games with Discounting, Cybernetics and Systems Analysis, , (), Online publication date: 1-Nov

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A Markovian Flow Model: The Analysis of Movement in Large-Scale (Military) Personnel Systems — Program Listings This report is part of the RAND Corporation report by: 1. Title: A Markovian Flow Model: The Analysis of Movement in Large-Scale (Military) Personnel Systems Author: J. Merck Subject: First of a series of reports describing a model of social mobility to provide information concerning patterns of movement, projections of the existing population into the future, and the impact produced by changes in the rate of movement.

A Markovian Flow Model: The Analysis of Movement in Large-Scale (Military) Personnel Systems — Program Reference Manual This report is part of the RAND Corporation report series. Get this from a library. A Markovian flow model: the analysis of movement in large-scale (military) personnel systems.

[J W Merck; Kathleen Hall, (Author of A Markovian flow model); Rand Corporation.; Project Rand (United States. Air Force)]. Get this from a library. A Markovian flow model: the analysis of movement in large-scale (military) personnel systems.

Program reference manual. [Kathleen Hall; Rand Corporation.; Project Rand (United States. Air Force)] -- The third in a series of report describes a model of social mobility, the study of which will provide researchers with information concerning patterns of movement.

Get this from a library. A Markovian flow model: the analysis of movement in large-scale (military) personnel systems. Program listings. [Kathleen Hall; Rand Corporation.; Project Rand (United States.

Air Force)]. A Markov Decision Model for Network Flows* for network flows analysis [9], in large-scale This implies that the use of Markovian processes to model movement may be overrated.

More. Type of analysis/application and special features of the model if any Analysis tools and approaches; Single node queueing models: Markovian models: Steady state: 1. Wang () Theoretical paper considering a patient queue in general (deterioration of patient condition over time and patient priority considered) Analytical formulation: by: Then, the Markovian velocity process (MVP) model is outlined, and the parameters in the MVP model are determined for multi‐Gaussian conductivity fields with σ Y 2 = 1/16,4.

Transport predictions of the MVP model are presented, including Cited by: Bankfull flow is a relevant parameter in the field of large scale modelling especially for the analysis of environmental flows and flood related hydrological processes. In our case, bankfull flow data were required within the SCENES project in order to analyse ecological important inundation events at selected grid cells of a European by: A mesoscopic model is proposed for large-scale simulation of pedestrian dynamics.

• The model is intrinsically able to capture population heterogeneity and stochasticity. • Various key phenomena of pedestrian flow, such as self-organization, can be reproduced.

• The model is carefully calibrated and validated on real by: 5. Meyer and Tchelepi () originally introduced a Cartesian Markovian velocity process model for statistically stationary domains and later proposed an extension, that is the PMVP model, for non-stationary transmissivity fields that allows for the inclusion of measurements (Meyer et al., ).

In this work, we apply the PMVP model in unaltered Cited by: 3. The method is derived for tandem Markovian finite capacity queueing networks. The proposed model is computationally tractable and scalable, it can be efficiently used for the higher-order distributional analysis of large-scale networks.

The model is validated versus simulation estimates and versus other decomposition by: 5. Data-driven models of infectious diseases 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15 are increasingly used to provide real- or near-real-time situational awareness during disease outbreaks. Indeed Cited by: In probability theory, a Markov model is a stochastic model used to model randomly changing systems.

It is assumed that future states depend only on the current state, not on the events that occurred before it. Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable.

For this reason, in the fields of predictive modelling and probabilistic forecasting, it is desirable for a given model. Math, ) introduced a tractable stochastic model for the dynamics of a limit order book, computing various quantities of interest such as the probability of a price increase or the diffusion limit of the price process.

As suggested by empirical observations, we extend their framework to. A Markov chain is a stochastic model describing a sequence of possible events in which the probability of each event depends only on the state attained in the previous event.

In continuous-time, it is known as a Markov process. It is named after the Russian mathematician Andrey Markov. Analysis on container port capacity: a Markovian modeling approach Article in Operations Research-Spektrum 36(2) March with Reads How we measure 'reads'.

Model predictive uncertainty analysis is a fundamental component of informative modeling for decision-making [1]. Although this is recognized by the groundwater modelling community [2], in. The framework of transition path theory (TPT) is developed in the context of continuous-time Markov chains on discrete state-spaces.

Under assumption of ergodicity, TPT singles out any two subsets in the state-space and analyzes the statistical properties of the associated reactive trajectories, i.e., those trajectories by which the random walker transits from one subset to Cited by:.

An MSM consists of (1) a subdivision of the state space into a discrete set of microstates, often using some clustering method, and (2) a Markovian model to describe the transition dynamics.() Structure-preserving model reduction of large-scale logistics networks.

The European Physical Journal B() Time-continuous Cited by: These matrices simply show as probabilities the average rate of historical movement from one job to another. Figure presents a very simple transition matrix. For a line worker, for example, there is a 20% probability of being gone in 12 months, a 0% probability of promotion to manager, a 15% probability of promotion to supervisor, and a