APPLICATION OF MULTIVARIATE STATISTICAL ANALYSES TO THE STUDY OF FACTORS AFFECTING WHITE WINE VOLATILE COMPOSITION

Journal of Food Quality ◽

10.1111/j.1745-4557.2010.00364.x ◽

2011 ◽

Vol 34 (1) ◽

pp. 40-50 ◽

Author(s):

VALERIA GALLO ◽

RAFAEL BELTRÁN ◽

FRANCISCO J. HEREDIA ◽

M. LOURDES GONZÁLEZ-MIRET ◽

DOLORES HERNANZ

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Volatile Composition ◽

Multivariate Statistical ◽

Factors Affecting

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Identification of geographical origin of Keemun black tea based on its volatile composition coupled with multivariate statistical analyses

Journal of the Science of Food and Agriculture ◽

10.1002/jsfa.9668 ◽

2019 ◽

Vol 99 (9) ◽

pp. 4344-4352 ◽

Author(s):

Shimao Fang ◽

Jingming Ning ◽

Wen‐Jing Huang ◽

Gang Zhang ◽

Wei‐Wei Deng ◽

...

Keyword(s):

Geographical Origin ◽

Black Tea ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Volatile Composition ◽

Multivariate Statistical

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MULTIVARIATE STATISTICAL ANALYSES OF NAVAL AVIATION CADET SELECTION MEASURES.

PsycEXTRA Dataset ◽

10.1037/e446682004-001 ◽

1954 ◽

Author(s):

Robert F. Lockman

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Naval Aviation ◽

Multivariate Statistical ◽

Selection Measures

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MULTIVARIATE STATISTICAL ANALYSES OF DANUBE RIVER WATER QUALITY AT GALATI, ROMANIA

Environmental Engineering and Management Journal ◽

10.30638/eemj.2018.124 ◽

2018 ◽

Vol 17 (5) ◽

pp. 1249-1266

Author(s):

Gabriel Murariu ◽

Paula Popa ◽

Mihaela Timofti ◽

Lucian Puiu Georgescu

Keyword(s):

Water Quality ◽

River Water ◽

River Water Quality ◽

Statistical Analyses ◽

Danube River ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Hydrogeochemistry and isotope compositions of multi-layered aquifer systems in the Recife Metropolitan Region, Pernambuco (NE Brazil): An integrated approach using multivariate statistical analyses

Journal of South American Earth Sciences ◽

10.1016/j.jsames.2021.103323 ◽

2021 ◽

pp. 103323

Author(s):

Thyego R. Silva ◽

Teresa E. Leitão ◽

Mariucha M.C. Lima ◽

Tiago N. Martins ◽

Manuel M. Oliveira ◽

...

Keyword(s):

Integrated Approach ◽

Statistical Analyses ◽

Metropolitan Region ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Aquifer Systems

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Non-targeted 1H NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries

Food Chemistry ◽

10.1016/j.foodchem.2013.05.135 ◽

2013 ◽

Vol 141 (3) ◽

pp. 3028-3033 ◽

Author(s):

F. Longobardi ◽

A. Ventrella ◽

A. Bianco ◽

L. Catucci ◽

I. Cafagna ◽

...

Keyword(s):

1H Nmr ◽

Geographical Origin ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

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Applying the scores of multivariate statistical analyses to characterize the relationships between the hydrochemical properties and groundwater conditions in respect of the monsoon variation in Kapas Island, Terengganu, Malaysia

Environmental Earth Sciences ◽

10.1007/s12665-017-6487-y ◽

2017 ◽

Vol 76 (4) ◽

Author(s):

Noorain Mohd Isa ◽

Ahmad Zaharin Aris ◽

Tahoora Sheikhy Narany ◽

Wan Nor Azmin Sulaiman

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Source apportionment of groundwater pollutants in Apulian agricultural sites using multivariate statistical analyses: case study of Foggia province

Chemistry Central Journal ◽

10.1186/1752-153x-6-s2-s5 ◽

2012 ◽

Vol 6 (S2) ◽

Author(s):

Pierina Ielpo ◽

Daniela Cassano ◽

Antonio Lopez ◽

Giuseppe Pappagallo ◽

Vito Felice Uricchio ◽

...

Keyword(s):

Source Apportionment ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Groundwater Pollutants

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Region identification of Xinyang Maojian tea using UHPLC‐Q‐TOF/MS‐based metabolomics coupled with multivariate statistical analyses

Journal of Food Science ◽

10.1111/1750-3841.15676 ◽

2021 ◽

Author(s):

Zihao Wang ◽

Bingsong Ma ◽

Cunqiang Ma ◽

Chengqin Zheng ◽

Binxing Zhou ◽

...

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

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Petroleum hydrocarbon fingerprinting and sediment transport assessed by molecular biomarker and multivariate statistical analyses in the Eastern Harbour of Alexandria, Egypt

Marine Pollution Bulletin ◽

10.1016/0025-326x(94)00102-f ◽

1995 ◽

Vol 30 (1) ◽

pp. 63-73 ◽

Author(s):

Tarek A.T. Aboul-Kassim ◽

Bernd R.T. Simoneit

Keyword(s):

Sediment Transport ◽

Petroleum Hydrocarbon ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Molecular Biomarker ◽

Multivariate Statistical

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Principal components analysis of employment in Eastern Europe

Panoeconomicus ◽

10.2298/pan0604427s ◽

2006 ◽

Vol 53 (4) ◽

pp. 427-437 ◽

Author(s):

Mirko Savic

Keyword(s):

Eastern Europe ◽

Principal Components Analysis ◽

Principal Components ◽

Statistical Analyses ◽

Multivariate Methods ◽

Eastern European ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Full Picture ◽

Components Analysis

For the last decade, the employment structure is one of the fastest changing areas of Eastern Europe. This paper explores the best methodology to compare the employment situations in the countries of this region. Multivariate statistical analyses are very reliable in portraying the full picture of the problem. Principal components analysis is one of the simplest multivariate methods. It can produce very useful information about Eastern European employment in a very easy and understandable way.

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