Indicators of Educational Progress - a Markov Chain Approach Applied to Swaziland

1978 ◽  
Vol 16 (1) ◽  
pp. 141-151 ◽  
Author(s):  
Kevin Geary
Keyword(s):  
Markov Chain ◽  
Markov Model ◽  
Education System ◽  
Policy Implications ◽  
Input Output ◽  
Educational Progress ◽  
Short Article ◽  
Markov Chain Approach ◽  
Data Requirements ◽  
Educational Indicators

This short article analyses the demand for and the use of educational indicators with reference to Swaziland. The data requirements are considered as well as the policy implications of establishing a fixed series, and an educational input-output table is constructed in an attempt to derive an all-embracing set of indicators. The Markov model presented here was initially created in order to help forecast what might happen to the Swaziland education system rather than to describe it. As the discussion of the data requirements below suggests, however, this can be considered a fortunate birth.

scholarly journals EXPERIENCE OF THE INPUT-OUTPUT MODELS APPLICATION TO THE MOLDOVAN ECONOMY

2019 ◽  
pp. 36-52
Keyword(s):  
Markov Chain ◽  
Dynamic Optimization ◽  
Energy Resources ◽  
Input Output ◽  
Output Table ◽  
Republic Of Moldova ◽  
Markov Chain Approach ◽  
Simulation Calculation ◽  
Model Matrix ◽  
Exchange Matrix

The main goal of this article is to present an overview of the input-output models which have been applied to Moldovan economy development study. We examined: static input-output model, dynamic input-output model restricted by limited energy resources, and the Markov chain approach based on the input-output tables. All these models have been examined using statistic data referring to the input-output table, constructed on the base of aggregated branches of the Moldovan economy. Static and dynamic optimization models were formulated, simulation calculation was done and analysed. Input-output table balancing problem was solved using RAS method. For dynamic model matrix of the investment coefficients was constructed. The emphasis was putt on the problem of applying the theory of Markov chain for examination of the 19 and 16 branches in the framework of the input-output model for Republic of Moldova. A square exchange matrix of order has been constructed. Every branch was considered as one of the states of the Markov chain with states. We introduced a new -th absorption state so that the examined matrix became of the order . The obtained transition matrix – probabilities matrix has been used for forecasting

scholarly journals Landscape pattern and economic factors’ effect on prediction accuracy of cellular automata-Markov chain model on county scale

2020 ◽  
Vol 12 (1) ◽  
pp. 626-636
Author(s):  
Wang Song ◽  
Zhao Yunlin ◽  
Xu Zhenggang ◽  
Yang Guiyan ◽  
Huang Tian ◽  
...  
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Cellular Automata ◽  
Markov Model ◽  
Prediction Accuracy ◽  
Driving Mechanism ◽  
Economic Factors ◽  
Chain Model ◽  
The Impact ◽  
County Scale

AbstractUnderstanding and modeling of land use change is of great significance to environmental protection and land use planning. The cellular automata-Markov chain (CA-Markov) model is a powerful tool to predict the change of land use, and the prediction accuracy is limited by many factors. To explore the impact of land use and socio-economic factors on the prediction of CA-Markov model on county scale, this paper uses the CA-Markov model to simulate the land use of Anren County in 2016, based on the land use of 1996 and 2006. Then, the correlation between the land use, socio-economic data and the prediction accuracy was analyzed. The results show that Shannon’s evenness index and population density having an important impact on the accuracy of model predictions, negatively correlate with kappa coefficient. The research not only provides a reference for correct use of the model but also helps us to understand the driving mechanism of landscape changes.

scholarly journals Exact Markov chain-based runtime analysis of a discrete particle swarm optimization algorithm on sorting and OneMax

2021 ◽  
Author(s):  
Moritz Mühlenthaler ◽  
Alexander Raß ◽  
Manuel Schmitt ◽  
Rolf Wanka
Keyword(s):  
Particle Swarm Optimization ◽  
Markov Chain ◽  
Markov Model ◽  
Optimization Problems ◽  
Formal Analysis ◽  
Particle Swarm ◽  
Upper And Lower Bounds ◽  
Swarm Optimization ◽  
Local Optima ◽  
Sorting Problem

AbstractMeta-heuristics are powerful tools for solving optimization problems whose structural properties are unknown or cannot be exploited algorithmically. We propose such a meta-heuristic for a large class of optimization problems over discrete domains based on the particle swarm optimization (PSO) paradigm. We provide a comprehensive formal analysis of the performance of this algorithm on certain “easy” reference problems in a black-box setting, namely the sorting problem and the problem OneMax. In our analysis we use a Markov model of the proposed algorithm to obtain upper and lower bounds on its expected optimization time. Our bounds are essentially tight with respect to the Markov model. We show that for a suitable choice of algorithm parameters the expected optimization time is comparable to that of known algorithms and, furthermore, for other parameter regimes, the algorithm behaves less greedy and more explorative, which can be desirable in practice in order to escape local optima. Our analysis provides a precise insight on the tradeoff between optimization time and exploration. To obtain our results we introduce the notion of indistinguishability of states of a Markov chain and provide bounds on the solution of a recurrence equation with non-constant coefficients by integration.

Estimation of Interregional Trade Flows: A Markov Chain Approach

1986 ◽  
Vol 18 (1) ◽  
pp. 123-132 ◽  
Author(s):  
I Weksler ◽  
D Freeman ◽  
G Alperovich
Keyword(s):  
Markov Chain ◽  
Trade Flows ◽  
Interregional Trade ◽  
Markov Chain Approach

Change point dynamics for financial data: an indexed Markov chain approach

2018 ◽  
Vol 15 (2) ◽  
pp. 247-266 ◽  
Author(s):  
Guglielmo D’Amico ◽  
Ada Lika ◽  
Filippo Petroni
Keyword(s):  
Markov Chain ◽  
Change Point ◽  
Financial Data ◽  
Markov Chain Approach

scholarly journals Construction and Control of Genetic Regulatory Networks:A Multivariate Markov Chain Approach

2008 ◽  
Vol 01 (01) ◽  
pp. 15-21 ◽  
Author(s):  
Shu-Qin Zhang ◽  
Ling-Yun Wu ◽  
Wai-Ki Ching ◽  
Yue Jiao ◽  
Raymond, H. Chan
Keyword(s):  
Markov Chain ◽  
Markov Chain Approach ◽  
And Control

scholarly journals A Markov Model for Production and Maintenance Decision

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Mohammad Saber Fallahnezhad ◽  
Alie Ranjbar ◽  
Faeze Zahmatkesh Saredorahi
Keyword(s):  
Markov Chain ◽  
Markov Model ◽  
The Other ◽  
Catastrophic Failure ◽  
Expected Number ◽  
Maintenance Decision

In this paper, we consider a production machine which may fail and it is necessary to repair the machine after each failure and there are two statuses for each repair; in one case, we should replace the machine because of catastrophic failure and in the other case, only small repairs are needed. Times between failures and repair and replace times are random and demands are satisfied by inventory during repairing and replacing the machine; shortage level is limited. We model described system as a Markov chain and develop an algorithm to compute the expected number of transitions among states.

scholarly journals Membangun Sistem Pendidikan Nasional, Mewujudkan Manusia Indonesia yang Unggul dan Berkarakter

2018 ◽  
Vol 2 (01) ◽  
Author(s):  
Asep Saefuddin
Keyword(s):  
Complex System ◽  
Education System ◽  
The Political ◽  
Short Article ◽  
National Education ◽  
National Education System ◽  
Multiple Levels ◽  
University Level ◽  
Keywords Education ◽  
Different Time Scales

COMMUNICATION Membangun Sistem Pendidikan Nasional, Mewujudkan Manusia Indonesia yang Unggul dan Berkarakter Abstrak Tulisan pendek ini merupakan pemikiran awal yang dihasilkan dari pandangan penulis yang bertujuan untuk memperbaiki kondisi pendidikan di negeri ini dari tingkat dasar sampai perguruan tinggi. Tulisan ini menekankan bahwa pendidikan merupakan sebuah sistem yang kompleks yang tidak dapat dipisahkan dari konteks politik, budaya dan ekonomi baik di tingkat lokal, nasional, regional, maupun internasional. Pendidikan sebagai suatu sistem kompleks, terdiri atas banyak komponen yang berinteraksi pada beberapa lapisan organisasi dan pada skala waktu yang berbeda. Kata Kunci: pendidikan, sistem kompleks Building a National Education System, Realize of indonesian people that Characterless and Excellence Abstract This short article is an initial thoughts resulting from the view of the author that aims to improve the state of education in this country from primary to university level. This paper emphasizes that education is a complex system that can not be separated from the political, cultural and economic at the local, national, regional, and international levels. Education as a complex system, consisting of many components that interact at multiple levels of the organization and at different time scales. Keywords: education, complex systems

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