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Regression analysis

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A machine learning prediction of the fisheries production in the Philippines using WEKA

Rhowel M. Dellosa

Int. J. Biosci.23( 1), 162-171, July 2023.

DOI: http://dx.doi.org/10.12692/ijb/23.1.162-171

Key: Data mining Decision tree Machine learning Random Forest Regression analysis Support vector machine WEKA

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Unveiling the driving forces affecting carbon dioxide emissions in the Philippines

Jonecis A. Dayap, Gracielle Rose D. Gentallan, Ricky B. Villeta, Jeanilyn S. Dionsay

J. Bio. Env. Sci.22( 2), 1-8, February 2023.

Key: Carbon Emissions Population factors Regression analysis

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Study of relationship between grain yield and yield components using multivariate analysis in barley cultivars (Hordeum vulgare L.)

Saeideh Dorostkar, Hassan Pakniyat, Mahmood Ahmadi Kordshooli, Massumeh Aliakbari, Neda Sobhanian, Raziyeh Ghorbani, Masoud Eskandari

Int. J. Agron. Agri. Res.6( 4), 240-250, April 2015.

Key: Genotypic correlation Path analysis Phenotypic correlation Regression analysis Six-row barley

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The value of flood risk reduction in selected communities near the pulangui river in bukidnon, Philippines

Michael Arieh P. Medina and Jocereal G. Arche

J. Bio. Env. Sci.6( 3), 84-90, March 2015.

Key: Contingent Valuation Flood Risk Reduction Pulangui River Regression analysis

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Studying the morphological traits of winter barley varieties and lines in Ardabil using multivariate statistical methods

Ali Kasraei, Ali Akbar Imani, Marefat Ghasemi

J. Bio. Env. Sci.4( 3), 309-318, March 2014.

Key: Barley Morphological traits Regression analysis

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Determining the best statistical models for estimating the forage yield of Atriplex canescens (Purush) Nut. in Kahrizak area (Iran)

Ali Akbar Tajali

J. Bio. Env. Sci.2( 11), 41-45, November 2012.

Key: Atriplex canescens Canopy cover Forage yield Regression analysis Volume

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