ISJ Theoretical & Applied Science 08(64) 2018

Philadelphia, USA

Khasanov AA

FORECASTING AND MULTIFACTOR REGISTRATION ANALYSIS OF MAIN CATTLE SPECIES PRODUCTION AT THE SURKHANDARYAN REGION.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-08-64-5

DOI: https://dx.doi.org/10.15863/TAS.2018.08.64.5

Language: English

Citation: Khasanov AA (2018) FORECASTING AND MULTIFACTOR REGISTRATION ANALYSIS OF MAIN CATTLE SPECIES PRODUCTION AT THE SURKHANDARYAN REGION. ISJ Theoretical & Applied Science, 08 (64): 23-29. Soi: http://s-o-i.org/1.1/TAS-08-64-5 Doi: https://dx.doi.org/10.15863/TAS.2018.08.64.5

Pages: 23-29

Published: 30.08.2018

Abstract: The article deals with the modeling and forecasting of trends in the dynamics of the related series of key indicators of livestock production in the Surkhandarya region. Using the Frish-Bow method to simulate the basic indicators of livestock production, regression equations were developed and prospective forecasting options developed.

Key words: livestock products, modeling, modeling, milk, eggs, feed, trends, multicollinearity, autocorrelation, regression coefficient, projected values, trend.