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Multivariate Statistics

Transformations for multivariate statistics

Transformations for multivariate statistics

... for multivariate statistics that eliminate asymp- totic skewness, extending the results of Niki and Konishi ~1986, Annals of the Institute of Statistical Mathematics 38, 371–383!+ Within the context of ...

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Morphometric Analysis of Drainage Basins in the Western Arabian Peninsula Using Multivariate Statistics

Morphometric Analysis of Drainage Basins in the Western Arabian Peninsula Using Multivariate Statistics

... using multivariate statistics [29] [30]; however, such studies on steep river basins have thus far been ...applied multivariate techniques to the geomorphology of steep basins in the Arabian ...

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Multivariate statistics and contamination factor to identify trace elements pollution in soil around Gerga City, Egypt

Multivariate statistics and contamination factor to identify trace elements pollution in soil around Gerga City, Egypt

... Although the number of samples is relatively low, clus- ter analysis (CA) and principal component analysis (PCA) were conducted to take into account the compli- cated environmental situation of the study area. Several ...

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Multivariate statistics applied to the reaction of common bean plants to parasitism by Meloidogyne javanica.

Multivariate statistics applied to the reaction of common bean plants to parasitism by Meloidogyne javanica.

... of multivariate analysis can be an alternative for separating the genotypes into groups according to their reactions to parasitism by ...employing multivariate statistics to discriminate the ...

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MULTIVARIATE STATISTICS OF FERTILITY PARAMETER FLUXES IN CEMENT-DUST-POLLUTED SOILS IN MFAMOSING, NIGERIA: IMPACT ON AGRICULTURE

MULTIVARIATE STATISTICS OF FERTILITY PARAMETER FLUXES IN CEMENT-DUST-POLLUTED SOILS IN MFAMOSING, NIGERIA: IMPACT ON AGRICULTURE

... although multivariate statistics simulates real life situations, its nine assumptions are often not met in real ...meeting multivariate statistics assumptions, often attained by removal of ...

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Assessment of Groundwater Quality Parameters Using Multivariate Statistics- A Case Study of Majmaah, KSA

Assessment of Groundwater Quality Parameters Using Multivariate Statistics- A Case Study of Majmaah, KSA

... uses multivariate statistics methods (Principal Component Analysis, PCA and/or Factor Analysis, FA) to determine the most important water quality parameters at the study area, aiming at introducing an ...

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Exploring the relationship between land use and surface water quality using multivariate statistics in arid and semi-arid regions

Exploring the relationship between land use and surface water quality using multivariate statistics in arid and semi-arid regions

... The objective of this study was to use an approach to examine the statistical relationship of landuse on quality of the surface water under a broad regional scale in the Iran [r] ...

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An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition

An automated procedure for detection and identification of ball bearing damage using multivariate statistics and pattern recognition

... The method suggested in this study offers an automatic detection and qualification type identification of faults in ball bearings without the need to estimate the specific fault frequenc[r] ...

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Prioritization of Sub Watersheds in a Large Semi Arid Drainage Basin (Southern Jordan) Using Morphometric Analysis, GIS, and Multivariate Statistics

Prioritization of Sub Watersheds in a Large Semi Arid Drainage Basin (Southern Jordan) Using Morphometric Analysis, GIS, and Multivariate Statistics

... Discriminant Analysis DA It has been argued that prioritization based on the morphometric analysis method by utilizing the erosion risk morphometric parameters is time consuming in compa[r] ...

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Assessment of metals bioavailability to vegetables under field conditions using DGT, single extractions and multivariate statistics

Assessment of metals bioavailability to vegetables under field conditions using DGT, single extractions and multivariate statistics

... in food vegetables using multivariate statistical approaches. Usually, to compare the effectiveness of extraction methods for the bioavailability prediction univariate statistics were applied. The new ...

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Base-extracted Organic Matter Fluorescence Properties and Multivariate Statistics for Tracing the Sources and Transformations of Estuarine Particles.

Base-extracted Organic Matter Fluorescence Properties and Multivariate Statistics for Tracing the Sources and Transformations of Estuarine Particles.

... Finally, a Tucker's congruence coefficient (TCC) analysis was performed, comparing the components from this study to a previously published NRE PARAFAC model fit to BEPOM and colored d[r] ...

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Prioritization of Promising Wadi Wala Watershed (Southern Jordan) Using GIS Based Morphometric Analysis and Multivariate Statistics

Prioritization of Promising Wadi Wala Watershed (Southern Jordan) Using GIS Based Morphometric Analysis and Multivariate Statistics

... It is intended in this study to: 1 prioritize the 23 sub-watersheds of W.Wala using GIS-based morphometric analysis to identify sub-basins of high potential for applying soil and water c[r] ...

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Express Screening of Tear Fluid for Evaluation of the Concentration of Lanomax Using Multisensory Stripping Voltammetry and Multivariate Statistics

Express Screening of Tear Fluid for Evaluation of the Concentration of Lanomax Using Multisensory Stripping Voltammetry and Multivariate Statistics

... After a certain time, the paper disk was removed from the conjunctival sac and placed on the electrode with the test system (50 μl). Measurements were taken after 30 min, 1 h, and the[r] ...

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Multivariate Statistics in Ecology and Quantitative Genetics Correspondence analysis

Multivariate Statistics in Ecology and Quantitative Genetics Correspondence analysis

... Correspondence analysis Site conditional biplot and species conditional biplot Contents 1 Correspondence analysis Motivation Setting Mathematical background Example: Mexican plant data. [r] ...

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Lake Water Monitoring Data Assessment by Multivariate Statistics

Lake Water Monitoring Data Assessment by Multivariate Statistics

... Very often, however, the monitoring data are consid- ered in a “univariate” way—each parameter separately. In the reality the state of an ecosystem is depending si- multaneously on many factors and parameters. Therefore, ...

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Topics In Multivariate Statistics

Topics In Multivariate Statistics

... a multivariate normal distribution) and a minority unspecified component are posited, and each observation vector is either completely clean or completely ...

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Discrete multivariate distributions

Discrete multivariate distributions

... Abstract: This article brings in two new discrete distributions: multivariate Binomial distri- bution and multivariate Poisson distribution. Those distributions were created in eventology as more correct ...

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A MULTIVARIATE WEIBULL DISTRIBUTION

A MULTIVARIATE WEIBULL DISTRIBUTION

... proposed multivariate Weibull model of Equation (1) by providing the probability density function, and the Jcaobian matrix in section 2, the general moment in section 3, an application in section 4 and conclusions ...

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Multivariate Logistic Mixtures

Multivariate Logistic Mixtures

... In this paper, we have proposed a technique for the topography of multivariate logistic mixtures. This is performed by the ridgeline function x ∗ (α) and the Π-Plot. Unlike with the case of multivariate ...

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On a multivariate Pareto distribution

On a multivariate Pareto distribution

... a multivariate distribution possessing arbitrarily parameterized Pareto margins has been formulated and ...proposed multivariate Pareto enjoys essential level of analytic ...the multivariate ...

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