CERTIFICATE

IMPACT FACTOR 2021

Subject Area

  • Life Sciences / Biology
  • Architecture / Building Management
  • Asian Studies
  • Business & Management
  • Chemistry
  • Computer Science
  • Economics & Finance
  • Engineering / Acoustics
  • Environmental Science
  • Agricultural Sciences
  • Pharmaceutical Sciences
  • General Sciences
  • Materials Science
  • Mathematics
  • Medicine
  • Nanotechnology & Nanoscience
  • Nonlinear Science
  • Chaos & Dynamical Systems
  • Physics
  • Social Sciences & Humanities

Why Us? >>

  • Open Access
  • Peer Reviewed
  • Rapid Publication
  • Life time hosting
  • Free promotion service
  • Free indexing service
  • More citations
  • Search engine friendly

The climate prediction with a year in advance through the bultó's index for havana city, Cuba

Author: 
Jaime Wilfrido Aldaz Cárdenas, Ricardo Oses Rodríguez, Rigoberto Fimia Duarte, Jorge Jagger Segura Ochoa, Nancy Guadalupe Aldaz Cárdenas, Jenny Janeth Segura Ochoa and Ricardo Fundora García
Subject Area: 
Life Sciences
Abstract: 

The objective of this work is directed to model the Climatic Bultó Index for Havana city with a year of advance. This index is also modeled independent in the period 2001, month 1, until the year 2005, month 5. In total there are 52 cases, from which two models are obtained, one for the index with short term parameters, (Lag 1, Lag 4) like predictor and another model of the index with parameters of one year of advance (lag 12, lag 16). The first model explains 84.6 variance % with a standard error that can not be measure; the variables that influence in the modeling of the Index are the index in the previous month, and the index fourth months behind, all the variables were significant to 99%, the tendency was not significant. The second model uses the lag 12, the lag 14 and the Lag 10, then we can forecast the Bultó Index with a year of advance, even the Lag 10 is not statistically significant we maintain this parameter in the model because it helps to improve the variance in the model. It was used the Regressive Objective Regression, with the help of the statistical package of Social Sciences (SPSS) Version 13. The pattern of Regressive Objective Regression with a year in advance presents good results with a high correlation (R= 96.1 %) and errors not determined, charts and graphics of the real values are shown and predicted for 2006. The methodology used can prevent the episodes of sickness of persons with sufficient time of advance.

PDF file: 

ONLINE PAYPAL PAYMENT

IJMCE RECOMMENDATION

Advantages of IJCR

  • Rapid Publishing
  • Professional publishing practices
  • Indexing in leading database
  • High level of citation
  • High Qualitiy reader base
  • High level author suport

Plagiarism Detection

IJCR is following an instant policy on rejection those received papers with plagiarism rate of more than 20%. So, All of authors and contributors must check their papers before submission to making assurance of following our anti-plagiarism policies.

 

EDITORIAL BOARD

Dr. Swamy KRM
India
Dr. Abdul Hannan A.M.S
Saudi Arabia.
Luai Farhan Zghair
Iraq
Hasan Ali Abed Al-Zu’bi
Jordanian
Fredrick OJIJA
Tanzanian
Firuza M. Tursunkhodjaeva
Uzbekistan
Faraz Ahmed Farooqi
Saudi Arabia
Eric Randy Reyes Politud
Philippines
Elsadig Gasoom FadelAlla Elbashir
Sudan
Eapen, Asha Sarah
United State
Dr.Arun Kumar A
India
Dr. Zafar Iqbal
Pakistan
Dr. SHAHERA S.PATEL
India
Dr. Ruchika Khanna
India
Dr. Recep TAS
Turkey
Dr. Rasha Ali Eldeeb
Egypt
Dr. Pralhad Kanhaiyalal Rahangdale
India
DR. PATRICK D. CERNA
Philippines
Dr. Nicolas Padilla- Raygoza
Mexico
Dr. Mustafa Y. G. Younis
Libiya
Dr. Muhammad shoaib Ahmedani
Saudi Arabia
DR. MUHAMMAD ISMAIL MOHMAND
United State
DR. MAHESH SHIVAJI CHAVAN
India
DR. M. ARUNA
India
Dr. Lim Gee Nee
Malaysia
Dr. Jatinder Pal Singh Chawla
India
DR. IRAM BOKHARI
Pakistan
Dr. FARHAT NAZ RAHMAN
Pakistan
Dr. Devendra kumar Gupta
India
Dr. ASHWANI KUMAR DUBEY
India
Dr. Ali Seidi
Iran
Dr. Achmad Choerudin
Indonesia
Dr Ashok Kumar Verma
India
Thi Mong Diep NGUYEN
France
Dr. Muhammad Akram
Pakistan
Dr. Imran Azad
Oman
Dr. Meenakshi Malik
India
Aseel Hadi Hamzah
Iraq
Anam Bhatti
Malaysia
Md. Amir Hossain
Bangladesh
Ahmet İPEKÇİ
Turkey
Mirzadi Gohari
Iran