APPLICATION OF VARIANCE ESTIMATION METHODS ON RAINFALL, TEMPERATURE AND MOSQUITO POPULATION

Authors

  • A.O. OLASUPO Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • B.T. EFUWAPE Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • K.K.A. ABDULLAH Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • O.O. OLUBANWO Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • S.O. HASSAN Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • U.H. OJIMADU Department of Mathematical Sciences, Olabisi Onabanjo University, Ago Iwoye, Ogun State
  • S.A. AINA Department of Zoology and Environmental Biology, Olabisi Onabanjo University, Ago Iwoye, Ogun State

Keywords:

Analysis of variance, Maximum likelihood estimate, Restricted maximum likelihood estimate

Abstract

The paper examined some variance components such as Analysis of variance (ANOVA), Maximum likelihood
estimate (MLE) and Restricted maximum likelihood estimate (RMLE) to estimate Rainfall, temperature and number
of mosquitoes in 10 apartments near some health centre in Ijebu north local government of Ogun State, Nigeria. It was
observed that there is significant difference between rainfall, temperature and number of mosquitoes in the local
government. The findings show that RMLE method seems to give a better estimate than ML and ANOVA because
the variances are relatively small compared to that of ML and ANOVA for a balanced one-way model.

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Published

2021-12-27

Issue

Vol. 20 No. 5 (2021)

Section

Articles