NON-PARAMETRIC STATISTICAL ANALYSIS OF THE RAMACHANDRAN MAP

2013 ◽  
pp. 76-94 ◽  
Author(s):  
MAXIM V. SHAPOVALOV ◽  
ROLAND L. DUNBRACK
Keyword(s):  
Statistical Analysis ◽  
Ramachandran Map ◽  
Non Parametric

scholarly journals Grammatical taboos

2019 ◽  
Vol 38 (1) ◽  
pp. 37-79 ◽  
Author(s):  
Ralf Vogel
Keyword(s):  
Statistical Analysis ◽  
Rating Scales ◽  
Experimental Testing ◽  
Questionnaire Study ◽  
Parametric Methods ◽  
Aesthetic Judgement ◽  
Explorative Study ◽  
The Aesthetic ◽  
Non Parametric

Abstract This explorative study focuses on grammatical taboos in German, morphosyntactic constructions which are subject to stigmatisation, as they regularly occur in standard languages. They are subjected to systematic experimental testing in a questionnaire study with gradient rating scales on two salient and two non-salient grammatical taboo phenomena of German. The study is divided into three subexperiments with different judgement types, an aesthetic judgement, a norm-oriented judgement and the sort of possibility judgement that comes closest to linguists’ understanding of grammar. Included in the investigated material are also examples of ordinary gradient grammaticality: unmarked, marked and ungrammatical sentences. The empirical characteristics of grammatical taboos are compared to those ordinary cases with the finding that they are rated at the level of markedness, but differ from ordinary markedness in that they produce a different pattern of between-subject variance. In addition, we find that grammatical taboos have a particular disadvantage under the aesthetic judgement type. The paper also introduces the concept of empirical grammaticality as a necessary theoretical cornerstone for empirical linguistics. Methodically, the study applies a mix of parametric and non-parametric methods of statistical analysis.

scholarly journals Perception, Motivation, and Satisfaction of Female Tourists with Their Visit to the City of Cordoba (Spain)

2020 ◽  
Vol 12 (18) ◽  
pp. 7595
Author(s):  
Alexandra Lenis Escobar ◽  
Ramón Rueda López ◽  
Manuel Pérez-Priego ◽  
María de los Baños García-Moreno García
Keyword(s):  
Statistical Analysis ◽  
Cultural Heritage ◽  
Statistical Techniques ◽  
Heritage Sites ◽  
Historical Heritage ◽  
Tourism Services ◽  
The City ◽  
Non Parametric

The cultural and historical heritage of a city is a major resource for attracting tourists. Therefore, determining how to perceive and identify the characteristics of persons visiting a locality attracted by its heritage is relevant for the purpose of better meeting their expectations and needs. This research focuses on understanding the perceptions, motivations, and satisfaction of women visiting Cordoba (Spain). Thus, on the basis of a questionnaire completed by women visiting Cordoba between the months of June and November 2019, statistical analysis was conducted. Using various multivalent case-grouping techniques, segments of tourists holding similar perceptions of cultural heritage were detected. Moreover, non-parametric statistical techniques highlighted significant differences between the valuations obtained in the various segments. This analysis exposed a segment of women who, known as absorptive tourists, are characterized by a high cultural motivation to visit the city of Cordoba linked to the heritage sites they have visited. The conclusions obtained herein should be useful for adjusting the city’s provision of tourism services to satisfy the demand of female tourists visiting the city.

Effects of fiber gripping methods on the single fiber tensile test: I. Non-parametric statistical analysis

2013 ◽  
Vol 48 (10) ◽  
pp. 3623-3637 ◽  
Author(s):  
Jae Hyun Kim ◽  
N. Alan Heckert ◽  
Stefan D. Leigh ◽  
Haruki Kobayashi ◽  
Walter G. McDonough ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Tensile Test ◽  
Single Fiber ◽  
Non Parametric

scholarly journals Penerapan Pendekatan Konseling Eksistensial Humanistik untuk Mengurangi Perilaku Hedonis Siswa di SMAN 10 Makassar

2019 ◽  
Vol 6 (1) ◽  
pp. 41-52
Author(s):  
Qawiyyan Fitri ◽  
Alimuddin Mahmud ◽  
Abdul Saman
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Experimental Design ◽  
Preliminary Step ◽  
Face To Face ◽  
High Category ◽  
Observation Instruments ◽  
Descriptive Statistical Analysis ◽  
Non Parametric

This research was intended for reducing student hedonic behaved, using experiment type Pre-Experimental Design with research One-Group Pretest-Posttest Designs. Data was collected using questionnares and observation instruments. Data analysis used descriptive statistical analysis and non parametric inferential statistical analysis. The results of research showed that the hedonist behavior of the students before being given the treatment of existential humanistic counseling approached was in the high category and after being given the treatment of humanistic existential counseling is in the low category, the treatment was be given through three steps namely preliminary step, mid step and termination step with seven times for face-to-face meetings.

scholarly journals Use of Non-Parametric Approaches on Normality of Hydrologic Variables

2018 ◽  
Vol 6 (8) ◽  
pp. 1030
Author(s):  
Kadri Yürekli ◽  
Müberra Erdoğan ◽  
Mehmet Murat Cömert
Keyword(s):  
Statistical Analysis ◽  
Statistical Tests ◽  
The Other ◽  
Data Sets ◽  
Seasonal Maximum ◽  
Kolmogorov Smirnov ◽  
Anderson Darling ◽  
Made In ◽  
Non Parametric ◽  
Normally Distributed

Parametric approaches in statistical analysis assume that any given data are normally distributed. Therefore, the test of whether this conventional assumption is valid should be made in this context of the available data’s normality before being passed to the application of statistical tests. The paper is focused on the normality methodologies commonly used in literature, named Kolmogorov-Smirnov, Jarque-Bera, D’agostino, Anderson Darling, Shapiro-Wilk and Ryan Joiner. In the study, the seasonal maximum data from eight streamflow gauging stations in Yesilirmak Basin was used as material. The normality in the 59% of the whole data sets were obtained as the highest result by the Kolmogorov –Smirnov approach, when compared to the other normality tests considered in the study.

Statistical Based Analysis of Electrooculogram (EOG) Signals

2015 ◽  
pp. 1153-1167
Author(s):  
Sandra D'Souza ◽  
N. Sriraam
Keyword(s):  
Statistical Analysis ◽  
Age Groups ◽  
Raw Data ◽  
Vertical Movements ◽  
Computer Interfaces ◽  
Human Computer Interfaces ◽  
Power Spectral ◽  
Detailed Statistical Analysis ◽  
The Subject ◽  
Non Parametric

The use of Electrooculogram (EOG) signals for developing Human-Computer Interfaces is increasing in the recent times. Several advantages including ease and flexibility in acquiring EOG signals have encouraged insight into EOG based research. In order to identify optimal features for EOG signals for rehabilitation applications, it is necessary to apply the statistical basis to decide the selection of best feature. This paper suggests a pilot study on non-parametric statistical based approach for analyzing EOG signals. This paper considers the detailed statistical analysis of Electrooculogram (EOG) signals. The EOG signals are acquired by considering the horizontal and vertical movements of the eye. The recording includes subjects with identified age groups with different activities. Power spectral densities based on Welch, Yule-Walker, Burg methods are estimated from the acquired EOG signals. Then non-parametric based statistical analysis is performed to show whether the gender or age of the subject influences the EOG signal obtained for different activities. The experimental results based on statistical analysis show that the raw data did not hold any significance to categorize male-female or age wise grouping. However, some features extracted set from the raw data provides useful statistical information which will be of great importance when used for selective rehabilitation.

Quantitative Data Analysis

2021 ◽  
pp. 184-202
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Undergraduate Students ◽  
Quantitative Data ◽  
Quantitative Research ◽  
Research Projects ◽  
Quantitative Data Analysis ◽  
Non Parametric

This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests. Readers will be able to grasp measurement tests that are appropriate for several quantitative data analysis in research projects. The differences between parametric and non-parametric tests are examined and explored in some detail. The assumptions for parametric and non-parametric measures are also highlighted and relevant examples provided and should enable the reader to select appropriate measures for their research projects.

Statistical Based Analysis of Electrooculogram (EOG) Signals

2013 ◽  
Vol 2 (1) ◽  
pp. 12-25 ◽  
Author(s):  
Sandra D’Souza ◽  
N. Sriraam
Keyword(s):  
Statistical Analysis ◽  
Age Groups ◽  
Raw Data ◽  
Vertical Movements ◽  
Computer Interfaces ◽  
Human Computer Interfaces ◽  
Power Spectral ◽  
Power Spectral Densities ◽  
Detailed Statistical Analysis ◽  
Non Parametric

The use of Electrooculogram (EOG) signals for developing Human-Computer Interfaces is increasing in the recent times. Several advantages including ease and flexibility in acquiring EOG signals have encouraged insight into EOG based research. In order to identify optimal features for EOG signals for rehabilitation applications, it is necessary to apply the statistical basis to decide the selection of best feature. This paper suggests a pilot study on non-parametric statistical based approach for analyzing EOG signals. This paper considers the detailed statistical analysis of Electrooculogram (EOG) signals. The EOG signals are acquired by considering the horizontal and vertical movements of the eye. The recording includes subjects with identified age groups with different activities. Power spectral densities based on Welch, Yule-Walker, Burg methods are estimated from the acquired EOG signals. Then non-parametric based statistical analysis is performed to show whether the gender or age of the subject influences the EOG signal obtained for different activities. The experimental results based on statistical analysis show that the raw data did not hold any significance to categorize male-female or age wise grouping. However, some features extracted set from the raw data provides useful statistical information which will be of great importance when used for selective rehabilitation.

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