scholarly journals Simulation of Railway Drainage Asset Service Condition Degradation in the UK Using a Markov Chain–Based Approach

2021 ◽  
Vol 27 (3) ◽  
pp. 04021023
Author(s):  
Yiqi Wu ◽  
Simon Tait ◽  
Andrew Nichols ◽  
Jamil Raja

The main objective of the present study was to work out the export competitiveness of Indian mango and policy recommendations for improvement in its export and the destinations as well. To achieve the objectives, various tools such as net terms of the trade revealed comparative advantage, and Markov chain analysis was applied to mango export data from 1999-2019. The estimations of net terms of trade and revealed comparative advantage discovered that India has a comparative advantage for exporting mango. It is evident from the transitional probability matrices developed through Markov chain analysis that Qatar was the most loyal buyer for Indian mango during this period. The attention should be focused on the market requirement and specifications of Qatar, Bangladesh, UAE and the UK as they were the most stable buyers of Indian mango.


2019 ◽  
Vol 62 (3) ◽  
pp. 577-586 ◽  
Author(s):  
Garnett P. McMillan ◽  
John B. Cannon

Purpose This article presents a basic exploration of Bayesian inference to inform researchers unfamiliar to this type of analysis of the many advantages this readily available approach provides. Method First, we demonstrate the development of Bayes' theorem, the cornerstone of Bayesian statistics, into an iterative process of updating priors. Working with a few assumptions, including normalcy and conjugacy of prior distribution, we express how one would calculate the posterior distribution using the prior distribution and the likelihood of the parameter. Next, we move to an example in auditory research by considering the effect of sound therapy for reducing the perceived loudness of tinnitus. In this case, as well as most real-world settings, we turn to Markov chain simulations because the assumptions allowing for easy calculations no longer hold. Using Markov chain Monte Carlo methods, we can illustrate several analysis solutions given by a straightforward Bayesian approach. Conclusion Bayesian methods are widely applicable and can help scientists overcome analysis problems, including how to include existing information, run interim analysis, achieve consensus through measurement, and, most importantly, interpret results correctly. Supplemental Material https://doi.org/10.23641/asha.7822592


2000 ◽  
Vol 111 (1) ◽  
pp. 78-90 ◽  
Author(s):  
C. R. M. Hay ◽  
T. P. Baglin ◽  
P. W. Collins ◽  
F. G. H. Hill ◽  
D. M. Keeling

2006 ◽  
Vol 175 (4S) ◽  
pp. 476-477
Author(s):  
Freddie C. Hamdy ◽  
Joanne Howson ◽  
Athene Lane ◽  
Jenny L. Donovan ◽  
David E. Neal

2006 ◽  
Vol 175 (4S) ◽  
pp. 210-210
Author(s):  
◽  
Freddie C. Hamdy ◽  
Athene Lane ◽  
David E. Neal ◽  
Malcolm Mason ◽  
...  
Keyword(s):  

2003 ◽  
Vol 2 (1) ◽  
pp. 131
Author(s):  
A ZAPHIRIOU ◽  
S ROBB ◽  
G MENDEZ ◽  
T MURRAYTHOMAS ◽  
S HARDMAN ◽  
...  

Crisis ◽  
2014 ◽  
Vol 35 (4) ◽  
pp. 268-272
Author(s):  
Sean Cross ◽  
Dinesh Bhugra ◽  
Paul I. Dargan ◽  
David M. Wood ◽  
Shaun L. Greene ◽  
...  

Background: Self-poisoning (overdose) is the commonest form of self-harm cases presenting to acute secondary care services in the UK, where there has been limited investigation of self-harm in black and minority ethnic communities. London has the UK’s most ethnically diverse areas but presents challenges in resident-based data collection due to the large number of hospitals. Aims: To investigate the rates and characteristics of self-poisoning presentations in two central London boroughs. Method: All incident cases of self-poisoning presentations of residents of Lambeth and Southwark were identified over a 12-month period through comprehensive acute and mental health trust data collection systems at multiple hospitals. Analysis was done using STATA 12.1. Results: A rate of 121.4/100,000 was recorded across a population of more than half a million residents. Women exceeded men in all measured ethnic groups. Black women presented 1.5 times more than white women. Gender ratios within ethnicities were marked. Among those aged younger than 24 years, black women were almost 7 times more likely to present than black men were. Conclusion: Self-poisoning is the commonest form of self-harm presentation to UK hospitals but population-based rates are rare. These results have implications for formulating and managing risk in clinical services for both minority ethnic women and men.


2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.


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