A method for the comparative analysis of concentration of author productivity, giving consideration to the effect of sample size dependency of statistical measures

2003 ◽  
Vol 54 (6) ◽  
pp. 521-528 ◽  
Author(s):  
Fuyuki Yoshikane ◽  
Kyo Kageura ◽  
Keita Tsuji
Keyword(s):  
Comparative Analysis ◽  
Sample Size ◽  
Size Dependency ◽  
Statistical Measures ◽  
Author Productivity

scholarly journals Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3777 ◽  
Author(s):  
Ataollah Shirzadi ◽  
Karim Soliamani ◽  
Mahmood Habibnejhad ◽  
Ataollah Kavian ◽  
Kamran Chapi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sample Size ◽  
Prediction Accuracy ◽  
Goodness Of Fit ◽  
Learning Algorithm ◽  
Machine Learning Algorithms ◽  
Landslide Susceptibility Mapping ◽  
Sample Sizes ◽  
Promising Alternative ◽  
Statistical Measures

The main objective of this research was to introduce a novel machine learning algorithm of alternating decision tree (ADTree) based on the multiboost (MB), bagging (BA), rotation forest (RF) and random subspace (RS) ensemble algorithms under two scenarios of different sample sizes and raster resolutions for spatial prediction of shallow landslides around Bijar City, Kurdistan Province, Iran. The evaluation of modeling process was checked by some statistical measures and area under the receiver operating characteristic curve (AUROC). Results show that, for combination of sample sizes of 60%/40% and 70%/30% with a raster resolution of 10 m, the RS model, while, for 80%/20% and 90%/10% with a raster resolution of 20 m, the MB model obtained a high goodness-of-fit and prediction accuracy. The RS-ADTree and MB-ADTree ensemble models outperformed the ADTree model in two scenarios. Overall, MB-ADTree in sample size of 80%/20% with a resolution of 20 m (area under the curve (AUC) = 0.942) and sample size of 60%/40% with a resolution of 10 m (AUC = 0.845) had the highest and lowest prediction accuracy, respectively. The findings confirm that the newly proposed models are very promising alternative tools to assist planners and decision makers in the task of managing landslide prone areas.

Generation control of isolated small hydro power plant by using DECSA optimized FPI controller

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jyoti Ranjan Nayak ◽  
Binod Shaw ◽  
Neeraj Kumar Dewangan
Keyword(s):  
Comparative Analysis ◽  
Differential Evolution ◽  
Search Algorithm ◽  
Robustness Analysis ◽  
Content Type ◽  
Statistical Measures ◽  
Speed Governor ◽  
Terminal Voltage ◽  
Generation Control

Purpose In this work, generation control of an isolated small hydro plant (SHP) is demonstrated by applying optimal controllers in speed governor and hydraulic turbine system. A comparative analysis of application of fuzzy PI (FPI) and PID controller is conferred for generation control (both power and terminal voltage) of an SHP. The controllers are designed optimally by using crow search algorithm (CSA) and novel hybrid differential evolution crow search algorithm (DECSA). The purpose of this paper is to settle the voltage and real power to improve the quality of the power. Design/methodology/approach In this work, the controllers (PID and FPI) are implemented in speed governor and excitation system of SHP to regulate power and terminal voltage. Differential evolution and CSA are hybridized to enhance the performance of controller to refurbish the power and terminal voltage of SHP. Findings The proposed DECSA algorithm is applied to solve ten benchmark functions, and the effectiveness of DECSA algorithm over CSA and DE is demonstrated in terms of best value, mean and standard deviation. CSA and DECSA algorithms optimized controllers (PID and FPI) are used to design SHP with the capability to contribute power and voltage of better quality. The comparative analysis to substantiate the competence of DECSA algorithm and FPI controller is demonstrated in terms of statistical measures of power and voltage of SHP. Robustness analysis is performed by varying all system parameters to prove the effectiveness of the proposed controller. Originality/value The proposed algorithm and FPI controller are applied individually to improve the quality of the power of SHP. DE, CSA and DECSA algorithms are implemented to solve benchmark equations. The solutions of all benchmark equations contributed by DECSA algorithm is converged rapidly and having minimum statistical measures as compared to DE and CSA algorithms. The DECSA algorithm and FPI controller are proposed with superior competence to enhance the generator performances by conceding undershoot, overshoot and settling time of power and terminal voltage. DECSA-based FPI controller contributes a noticeable improvement of the performances over other approaches.

scholarly journals Motivations for running in men: A comparative analysis of local runners and sports tourists

Turyzm ◽  
2019 ◽  
Vol 29 (2) ◽  
pp. 69-79 ◽  
Author(s):  
Ewa Malchrowicz-Mośko ◽  
Joanna Poczta
Keyword(s):  
Physical Activity ◽  
Comparative Analysis ◽  
Sample Size ◽  
Empirical Research ◽  
Sensation Seeking ◽  
Review Of The Literature ◽  
Place Of Residence ◽  
Sports Events

The aim of the study is to to examine the motivations for participating in a half-marathon among two groups of runners, local running in their place of residence and sports tourists, and to evaluate the differences between them. With the increase in the popularity of ‘running tourism’ the question becomes important as it encourages runners to engage in physical activity outside their everyday place of residence. Freyer and Gross’s (2002) four types of motivation for participation in sports events was the basis for the development of the author’s questionnaire. The empirical research (sample size=346) then recognized these motives for participation. The article also presents a review of the literature on such motivations in mass running events. Results indicate that both group of respondents, residents of the place where the half-marathon was organised and sports tourists, have different forms of motivation. The greatest relevance for sports tourists turned out to be motivation for sensation-seeking but for local runners it was the result, and this confirms that sports tourists travel generally in search for strong emotions and sensations.

scholarly journals Dividend Aristocrats – A Comparative Analysis of Polish and American Dividend Companies During the Period of 2009–2017

2020 ◽  
Vol 20 (1) ◽  
pp. 190-205
Author(s):  
Bartłomiej Jabłoński
Keyword(s):  
Growth Rate ◽  
Comparative Analysis ◽  
Standard Deviation ◽  
Stock Exchange ◽  
Rate Of Return ◽  
Average Annual Rate ◽  
Dividend Payments ◽  
Statistical Measures ◽  
Similarities And Differences ◽  
Dividend Growth

AbstractResearch background: This article describes the issue of dividend companies that are components of the WIG index and S&P 500 during the period 2009–2017.Purpose: The aim of the study was to identify similarities and differences in dividend payments by issuers during the period 2009–2017.Research methodology: It describes the assessment of investments in companies on the basis of the continuity and variability of dividends paid (taking into account the rate of dividend growth and the cumulated rate of dividends, statistical measures – median and standard deviation), as well as the comparison of issuers from the Polish and US stock exchange.Results: The results of the study confirm the existence of differences in dividend pay-outs by companies listed on both exchanges.Novelty: First of all, Polish dividend companies are characterised by a higher average annual dividend growth rate and an average annual rate of return. What is more important, the average accumulated dividend (as well as its median) of companies from the WIG index is higher than the same group of companies belonging not only to the S&P 500 index companies, but also to American dividend aristocrats.

scholarly journals Comparative analysis of the use of space in 7-a-side and 8-a-side soccer: how to determine minimum sample size in observational methodology

Motricidade ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. 92 ◽  
Author(s):  
Daniel Lapresa ◽  
Ildefonso Álvarez ◽  
M. Teresa Anguera ◽  
Javier Arana ◽  
Belén Garzón
Keyword(s):  
Comparative Analysis ◽  
Sample Size ◽  
Minimum Sample Size ◽  
Observational Methodology ◽  
Use Of Space ◽  
Minimum Sample
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