科学与学术期刊
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作者:Y. Omari-Sasu A. , Asamoah Owusu D. , A. Boateng M. ...
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (2), pp.5Scientific & Academic Publishing
摘要:Abstract A study of survival rate of TB patients was carried out using secondary data extracted from 85 Tb patients’ records from January 2013 to December 2014 in the Upper West region of Ghana. The Cox Proportional Hazard Model was used to determine the components of the mo...
作者:C. A. Oyeka I. , U. Umeh E.
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (1), pp.7Scientific & Academic Publishing
摘要:This paper develops and presents use of dummy variable regression models in the analysis of results from diagnostic screening tests or clinical trials with several case-control subject response options or categories, with replications in each case-control response category or com...
作者:Narsoo Jason
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (1), pp.7Scientific & Academic Publishing
摘要:This paper developed a model for forecasting the volatility of intraday exchange rates using time series data. The dataset consisted of 1-minute frequency data of EUR/USD exchange rates for the month of October 2015. The preliminary analyses of the data reveal the presence o...
作者:Kingsley Ochuko Tobi , Abdullah Suhaida , Zain Zakiyah ...
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (2), pp.23Scientific & Academic Publishing
摘要:Abstract Aims and Objectives: This research deals with the comparison of the power rates of five different tests, namely: the Alexander-Govern (AG) test, the modified one step M-estimator in the Alexander-Govern (AGMOM) test, the Winsorized modified one step M-estimator in the Al...
作者:Marzjarani Morteza
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (3), pp.9Scientific & Academic Publishing
摘要:The issue of handling categorical along with continuous variables in linear models is always interesting and at the same time challenging. In this paper, a general linear model is extended to include both categorical and continuous predictors. Second order terms including in...
作者:Rani Das Keya , Rani Sarker Jaba , Akhter Sharmin
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (3), pp.7Scientific & Academic Publishing
摘要:In Bangladesh rice production advanced abundantly to meet this staple food’s need which turn out to food self-sufficiency. But it is the time to give more consideration to pulse production which is one of the largest sources of protein. But still it does not meet our annual ...
作者:Shanker Rama
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (1), pp.12Scientific & Academic Publishing
摘要:A new one parameter continuous distribution named “Aradhana distribution” for modeling lifetime data from biomedical science and engineering has been proposed. Its mathematical and statistical properties including its shape, moments, hazard rate function, mean residual life ...
作者:B. Ismail , Suvarna Manjula
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (2), pp.5Scientific & Academic Publishing
摘要:Abstract When using the linear statistical model, researchers face variety of problems due to non experimental nature i.e uncertainity about the nature of the error process, model mis- specifications, dependent regressors etc. The phenomenon of correlated errors in linear regress...
作者:Boakye Agyemang , K. Abledu Godfred , Kwofie Samuel ...
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (3), pp.8Scientific & Academic Publishing
摘要:Road traffic accidents of varying degrees that have occurred in Ghana both in the past and present have resulted in several road fatalities. These has led to the loss of lives, property, broken homes, and as well as leaving behind shattered families and communities, among others ...
作者:Josephat Peter
来源:[J].International Journal of Statistics and Applications, 2016, Vol.6 (2), pp.5Scientific & Academic Publishing
摘要:Abstract Propensity Score Matching (PSM) is the current popular method used to evaluate an impact of the programmes compared to other non-experimental methods. The method is the most widely used type of matching in which the comparison group is matched with the treatment group on...

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