A new three-sample nonparametric statistical test with its special case equivalent to the Whitney test

2014 ◽  
Vol 7 (4) ◽  
pp. 328-335
Author(s):  
G. I. Salov
Keyword(s):  
Statistical Test ◽  
Whitney Test ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical ◽  
Special Case

ANOCVA: A Nonparametric Statistical Test to Compare Clustering Structures

2018 ◽  
pp. 113-125
Author(s):  
Alexandre Galvão Patriota ◽  
Maciel Calebe Vidal ◽  
Davi Augusto Caetano de Jesus ◽  
André Fujita
Keyword(s):  
Statistical Test ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical

scholarly journals Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course

2016 ◽  
Vol 3 (3) ◽  
pp. 170-192 ◽  
Author(s):  
Kerrie Anna Douglas ◽  
Peter Bermel ◽  
Md Monzurul Alam ◽  
Krishna Madhavan
Keyword(s):  
Big Data ◽  
Learning Analytics ◽  
Statistical Test ◽  
Future Research ◽  
User Behaviour ◽  
Significant Difference ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical

MOOCs attract a large number of users with unknown diversity in terms of motivation, ability, and goals. To understand more about learners in a MOOC, the authors explored clusters of user clickstream patterns in a highly technical MOOC, Nanophotonic Modelling through the algorithm k-means++.  Five clusters of user behaviour emerged: Fully Engaged, Consistent Viewers, One-Week Engaged, Two-Week Engaged, and Sporadic users. Assessment behaviours and scores are then examined within each cluster, and found different between clusters. Nonparametric statistical test, Kruskal-Wallis yielded a significant difference between user behaviour in each cluster. To make accurate inferences about what occurs in a MOOC, a first step is to understand the patterns of user behaviour. The latent characteristics that contribute to user behaviour must be explored in future research. Keywords: MOOCs, Learning Analytics, Assessment

scholarly journals Nonparametric flow cytometry analysis.

1979 ◽  
Vol 27 (1) ◽  
pp. 293-296 ◽  
Author(s):  
C B Bagwell ◽  
J L Hudson ◽  
G L Irvin
Keyword(s):  
Flow Cytometry ◽  
Statistical Method ◽  
Biological Systems ◽  
Bayes Theorem ◽  
Statistical Test ◽  
Flow Cytometry Analysis ◽  
Nonparametric Statistical Test ◽  
The Mean ◽  
Nonparametric Statistical

A nonparametric statistical test for the analysis of flow cytometry derived histograms is presented. The method involves smoothing and translocation of data, area normalization, channel by channel determination of the mean and S.D., and use of Bayes' theorem for unknown histogram classification. With this statistical method, different sets of histograms from numerous biological systems can be compared.

scholarly journals NONPARAMETRIC STATISTICAL TEST APPROACHES IN GENETICS DATA

2015 ◽  
Vol 5 (1) ◽  
pp. 77 ◽  
Author(s):  
RAKESH Kumar Saroj ◽  
K.H.H.V.S.S. Narsimha Murthy ◽  
Mukesh Kumar
Keyword(s):  
Statistical Test ◽  
Nonparametric Statistical Test ◽  
Nonparametric Statistical

scholarly journals A Pilot Study for the Statistical Treatment of Nutritional Parameters in the Quality Control of Canned Fishing Goods

1999 ◽  
Vol 82 (5) ◽  
pp. 1247-1256
Author(s):  
Marta Bartos-Lorenzo ◽  
Alberto Calviño-López ◽  
Fernando Dalama-Iglesias ◽  
Maria de la Torre-Lamosa ◽  
Guadalupe Martín-Pardo ◽  
...  
Keyword(s):  
Pilot Study ◽  
Statistical Treatment ◽  
Statistical Test ◽  
Nutritional Composition ◽  
Data Sets ◽  
Total Proteins ◽  
European Directives ◽  
Nonparametric Statistical Test ◽  
Chemometric Techniques ◽  
Nonparametric Statistical

Abstract This pilot study was derived as a consequence of European Directives 496/90 and 493/91 in which a regulation on the labeling of canned fishing goods was established. The study was intended primarily to assess whether different Spanish canned fishing goods might be differentiated by their basic nutritional composition (i.e., ash, chlorine as NaCl, fat, humidity, total proteins, and dry residue) and, second, to study each particular type of good. Accordingly, a univariate nonparametric statistical test and 2 multivariate chemometric techniques (factor and cluster analyses) were used. The pilot study revealed that (1) the basic nutritional variables did not allow a clear distinction among canned goods when different commodities were considered, but they seemed useful for obtaining information for only one type of good; and (2) the variables that gave the most useful information to visualize the appearance of groups in the data sets were humidity, dry residue, fat, and proteins, although their particular usefulness was found to be different when different species were considered.

scholarly journals COMBINED NONPARAMETRIC CHI-SQUARED AND BINOMIAL STATISTICAL TEST ON TRUCK TRAFFIC VOLUME CHANGES IN CANADIAN PROVINCIAL HIGHWAY NETWORK

Transport ◽  
2019 ◽  
Vol 34 (1) ◽  
pp. 103-114 ◽  
Author(s):  
Hyuk-Jae Roh ◽  
Satish Sharma
Keyword(s):  
Statistical Tests ◽  
Weather Conditions ◽  
Statistical Test ◽  
Truck Traffic ◽  
Long Distance ◽  
Type Distribution ◽  
Weigh In Motion ◽  
Highway Network ◽  
Chi Squared ◽  
Nonparametric Statistical

This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests. Influence of the winter conditions on truck type distribution is investigated in this paper by classifying trucks into single-unit trucks, single-trailer, and multi-trailer units. The investigation is based on 5 years Weigh-In-Motion (WIM) traffic data collected from Alberta provincial highway network in Canada. The WIM data is collected from six WIM sites located on Highway 2, Highway 2A, Highway 3, Highway 16 and Highway 44. The objective of this study is to investigate the association of three truck type distribution with month and season depending on weather conditions by means of nonparametric statistical test. The statistical results indicate that the variation of truck type distribution is influenced by type of highway facility, such as regional commuter roads and rural long distance highways. The season of the year (winter and non-winter) may also affect the truck type distribution on some types of roads. Findings of this study can benefit highway agencies in developing programs and policies related to efficient monitoring of truck traffic and maintaining highway network throughout the year.

scholarly journals PENDAPATAN, EFISIENSI USAHA GULA KELAPA DAN PEMASARANNYA DI DESA PAL 30 KABUPATEN BENGKULU UTARA

2006 ◽  
Vol 3 (1) ◽  
pp. 135-144
Author(s):  
Lenny Marlina ◽  
Redy Badruddin ◽  
Satria Putra Utama
Keyword(s):  
Key Words ◽  
Marketing Channel ◽  
Statistical Test ◽  
Ratio Analysis ◽  
Test Channel ◽  
Whitney Test ◽  
Mann Whitney Test ◽  
Business Efficiency ◽  
The Difference

Plantation   of coconut   under  farmer  cultivation   have  two processing  status owner and share-fanner  processor. This research  target was to know  the level of eamings  and  business  efficiency  of owner fanner  and processor farmer  and  to describe  marketing  channel  fonn  and marketing  margin.  Method  for calculating the efflciency was RIC  ratio  analysis,   while  to test  the difference   of efficiency  among   actots  W8I9 used statistical test u(Mann  -Whitney  test).  Channel Marketing  by  description   and   marketing   margin  calculated  through     seHlng price  marketing  Institute  minus  buying  of marketing  institute  or  expense  institute  marketing   up by profit institute  marketing.                                                                                    Key words:  Income, efficiency, coconut sugar, and marketing

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