Výsledky vyhledávání - "D. A. Agunbiade"

Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data

Autor: D. A. Agunbiade, Pelumi E. Oguntunde, Olumide S. Adesina

Publikováno v: Scientific African, Vol 13, Iss, Pp e00963-(2021)

The need to model count data correctly calls for introducting a flexible yet robust model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS) used in the past were considered unsuitable. The introduct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ec40c9ca2e2e014400d915685334926
http://www.sciencedirect.com/science/article/pii/S2468227621002672

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Bayesian Models for Zero Truncated Count Data

Autor: Olumide S. Adesina, Pelumi E. Oguntunde, Tolulope F. Adesina, D. A. Agunbiade

Publikováno v: Asian Journal of Probability and Statistics. :1-12

It is important to fit count data with suitable model(s), models such as Poisson Regression, Quassi Poisson, Negative Binomial, to mention but a few have been adopted by researchers to fit zero truncated count data in the past. In recent times, dedic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::394207c0e9afd61bb3adb682bb3c1d01
https://doi.org/10.9734/ajpas/2019/v4i130105

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Models for Zero Truncated Count Data in Medicine and Insurance

Autor: Tolulope F. Adesina, Olumide S. Adesina, D. A. Agunbiade, Pelumi E. Oguntunde

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7736d138e128e7b584a3f4c19d7c5a8d
https://doi.org/10.9734/bpi/tpmcs/v6/2921d

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Survey data on the knowledge, attitudes and practices of Nigerians towards the prevention and spread of COVID-19 during the lockdown period in Nigeria

Autor: Peter I. Ogunyinka, Kazeem Adedayo Adeleke, D. A. Agunbiade, Oluwatobi Banjo

Publikováno v: Data in Brief, Vol 36, Iss, Pp 107074-(2021)
Data in Brief

There had been an urgent call for the collection of standardized data describing clinical presentations, severity, outcomes, and epidemiology of COVID-19 by the World Health Organization (WHO). These data were expected to compliment the national pand

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b933567cb9fffa0df975d35dd769c91
https://doi.org/10.1016/j.dib.2021.107074

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EMPIRICAL ANALYSIS ON THE USE OF OLS IN THE ESTIMATION OF SIMULTANEOUS EQUATION MODELS

Autor: D. A. Agunbiade

Publikováno v: Journal of Mathematical Sciences: Advances and Applications. 46:115-125

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da4577135a0b6c3325df77d8cd84d750
https://doi.org/10.18642/jmsaa_7100121861

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Effect of Correlation Level on the Use of Auxiliary Variable in Double Sampling for Regression Estimation

Autor: Peter I. Ogunyinka, D. A. Agunbiade

Publikováno v: Open Journal of Statistics. :312-318

While an auxiliary information in double sampling increases the precision of an estimate and solves the problem of bias caused by non-response in sample survey, the question is that, does the level of correlation between the auxiliary information x a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8dc3cd0d0c04c5354ba15841a59c0499
https://doi.org/10.4236/ojs.2013.35037

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PARAMETER ESTIMATION AND DETERMINATION OF SAMPLE SIZE IN LOGISTIC REGRESSION

Autor: Adeleke Kazeem Adedayo, D. A. Agunbiade

Publikováno v: Journal of Mathematics and Statistics. 8:481-488

The determination of Sample-Size is often an important step in planning a statistical study and it is usually a difficult task. Among the important hurdles to be s urpassed, one must obtain an estimate of one or mor e error variances and specify an e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56756768367fdbf2ecd3e604e766a36c
https://doi.org/10.3844/jmssp.2012.481.488

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Effect of Multicollinearity and the Sensitivity of the Estimation Methods in Simultaneous Equation Model

Autor: D. A. Agunbiade

Publikováno v: Journal of Modern Mathematics and Statistics. 5:9-12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98bcb3a982dce657880b1e9f4a109103
https://doi.org/10.3923/jmmstat.2011.9.12

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Estimation under Multicollinearity: A Comparative Approach Using Monte Carlo Methods

Autor: D. A. Agunbiade, J. O. Iyaniwura

Publikováno v: Journal of Mathematics and Statistics. 6:183-192

Problem statement: A comparative investigation was done experimentally for 6 different Estimation Techniques of a just-identified simultaneous three-equation econometric model with three multi-collinear exogenous variables. Approach: The aim is to ex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6bf5b9db3bc4049511ae505bfdb96a5
https://doi.org/10.3844/jmssp.2010.183.192

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Inventory Production Control Model with Back-Order when Shortages are Allowed

Autor: Kazeem Adedayo Adeleke, D. A. Agunbiade

Publikováno v: Journal of Modern Mathematics and Statistics. 4:78-83

It is prohibited to have shortage of inventory since inventory cost is induced from the amount of product stored. This paper presents inventory control theory in production inventory problem when shortages are allowed and backorder takes place. Three

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0c64fb07a7bf8ec155e2048b7c74763
https://doi.org/10.3923/jmmstat.2010.78.83

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