Zobrazeno 1 - 8
of 8
pro vyhledávání: '"R. O Simwa"'
Publikováno v:
Far East Journal of Theoretical Statistics. 62:81-90
Publikováno v:
Far East Journal of Theoretical Statistics. 53:291-311
Publikováno v:
American Journal of Theoretical and Applied Statistics. 10:202
The analysis of sample-based studies involving sampling designs for small sample size, is challenging because the sample selection probabilities (as well as the sample weights) is dependent on the response variable and covariates. The study has focus
Autor:
R. O Simwa, Conlet Biketi Kikechi
Publikováno v:
International Journal of Statistics and Probability. 7:104
This article discusses the local polynomial regression estimator for and the local polynomial regression estimator for in a finite population. The performance criterion exploited in this study focuses on the efficiency of the finite population total
Publikováno v:
American Journal of Theoretical and Applied Statistics. 7:92
In this paper, nonparametric regression is employed which provides an estimation of unknown finite population totals. A robust estimator of finite population totals in model based inference is constructed using the procedure of local linear regressio
Autor:
Joseph Y.T. Mugisha, R. O Simwa
Publikováno v:
American Journal of Infectious Diseases. 1:61-65
The number of CD4 white blood cells has been established as an important clinical marker of disease progression to acquired immunodeficiency syndrome (AIDS) for persons infected with human immunodeficiency virus (HIV). The number of CD4 cells per uni
Autor:
Ganesh P. Pokhariyal, R. O Simwa
Publikováno v:
Applied Mathematics and Computation. 146:93-104
In this paper a deterministic model for HIV epidemic with three stages of disease progression among infected patients is discussed. It is assumed that the patient once infected experiences disease progression up to full-blown AIDS. Using two systems
Autor:
Ganesh P. Pokhariyal, R. O Simwa
Publikováno v:
African Journal of Science and Technology; Vol 4, No 1 (2003)
A number of models have been proposed to study the projections of HumanImmunodeficiency Virus(HIV)/Acquired Immunodeficiency Syndrom(AIDS) epidemic in sub-Saharan Africa. In this paper we propose the use of the statistical approaches, curve fitting a