In Survival Analysis, the focus of interest is a time T* until the occurrence of some event. A set of explanatory variables (denoted by a vector Z) is considered to analyze if there is a relationship between any of them and T*. Accordingly, the ``hazard function'' is defined: \[...
Open access
Research Article10.9734/ajpas/2019/v4i230112
Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and pr...
Open access
Research Article10.9734/ajpas/2019/v4i230113
Non-constant error variance in Normal Linear Regression Model (NLRM) is an econometric problem generally referred to as heteroscedasticity. Its presence renders statistical inference invalid. Classical approach to its detection, estimation and remediation are widely discussed in...
Open access
Research Article10.9734/ajpas/2019/v4i230111
Clinical study of malaria presents a modeling challenge as patients disease status and progress is partially observed and assessed at discrete clinic visit times. Since patients initiate visits based on symptoms, intense research has focused on identication of reliable prediction...
Open access
Research Article10.9734/ajpas/2019/v4i230110
Background: In modeling heteroscedasticity of returns, it is often assumed that the series are uncorrelated. In practice, such series with small time periods between observations can be observed to contain significant serial correlations, hence the motivation for this research. A...
Open access
Research Article10.9734/ajpas/2019/v4i230109
For interval estimation of a proportion the Score Interval is quite accurate. It has good reviews in the Statistics literature. But the problem is that it is not used enough. A reason is that many consider it is complicated. In this paper, we suggest a program and other things th...
Open access
Research Article10.9734/ajpas/2019/v4i130107
In recent years, the demand for small area statistics has greatly increased worldwide. A recent application of small area estimation (SAE) techniques is in estimating local level poverty measures in Third World countries which is necessary to achieve the Millennium Development Go...
Open access
Research Article10.9734/ajpas/2019/v4i130106
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, dedicated models for fitting zero t...
Open access
Research Article10.9734/ajpas/2019/v4i130105
Increasing the parameter of a distribution helps to capture the skewness and peakedness characteristic in the data sets. This allows a more realistic modeling of data arising from different real life situations. In this paper, we modified Laplace distribution using the exponentia...
Open access
Research Article10.9734/ajpas/2019/v4i130104
In this study, a new continuous one parameter lifetime distribution is proposed. Its mathematical properties such as moments, order statistics, entropy, survival function, hazard rate function and mean residual life function are derived. The new distribution is applied to real-li...
Open access
Research Article10.9734/ajpas/2019/v4i130103