for Journals by Title or ISSN
for Articles by Keywords
Followed Journals
Journal you Follow: 0
Sign Up to follow journals, search in your chosen journals and, optionally, receive Email Alerts when new issues of your Followed Journals are published.
Already have an account? Sign In to see the journals you follow.
Journal Cover International Journal of Advanced Statistics and Probability
  [5 followers]  Follow
  This is an Open Access Journal Open Access journal
   ISSN (Print) 2307-9045 - ISSN (Online) 2307-9045
   Published by Science Publishing Corporation Homepage  [13 journals]
  • Using analysis of time series to forecast the number of patients with
           tuberculosis: a case study in Khartoum state from 2007 to 2016

    • Authors: Abu Elgasim Abow Mohammed
      Pages: 24 - 29
      Abstract: This paper used time series analysis to predict the number of tuberculosis (TB) patients in Khartoum state. It is based on data obtained from TB patients the period from 2007 to 2016. The study was able to determine the best model of order (2) ARIMA (2, 1, 0) for data. The most important result of the study is to estimate the number of patients with TB the next four years in quartile basis. So, the forecasting value represented the source time series data and was observed to decrease.
      PubDate: 2018-01-01
      DOI: 10.14419/ijasp.v6i1.8751
      Issue No: Vol. 6, No. 1 (2018)
  • On the inferences and applications of transmuted exponential Lomax

    • Authors: Umar Kabir, Terna Godfrey IEREN
      Pages: 30 - 36
      Abstract: This article proposed a new distribution referred to as the transmuted Exponential Lomax distribution as an extension of the popular Lomax distribution in the form of Exponential Lomax by using the Quadratic rank transmutation map proposed and studied in earlier research. Using the transmutation map, we defined the probability density function (PDF) and cumulative distribution function (CDF) of the transmuted Exponential Lomax distribution. Some properties of the new distribution were extensively studied after derivation. The estimation of the distribution’s parameters was also done using the method of maximum likelihood estimation. The performance of the proposed probability distribution was checked in comparison with some other generalizations of Lomax distribution using three real-life data sets. The results obtained indicated that TELD performs better than the other distributions comprising power Lomax, Exponential-Lomax, and the Lomax distributions.
      PubDate: 2018-01-13
      DOI: 10.14419/ijasp.v6i1.8129
      Issue No: Vol. 6, No. 1 (2018)
  • Optimal and efficient production of rose coco beans through the
           twenty-four points second order rotatable design

    • Authors: Isaac Tum, Joseph Koske, John Mutiso
      Pages: 1 - 9
      Abstract: The yield results of the twenty four points response surface methodology (RSM) design permitted a response surface to be fitted easily and provided spherical information contours besides the realizations of an optimum combination of the fertilizers in rose coco beans, which resulted in economic use of scarce resources for optimal production of rose coco beans. In this study an existing A-optimum and D-efficient second order rotatable design in three dimensions was used to produce rose coco beans optimally and efficiently. The general objective of the study was to produce rose coco beans (Phaseolus vulgaris) optimally and efficiently using an existing A-optimum and D-efficient twenty four points second order rotatable design in three dimensions in a greenhouse setting using three inorganic fertilizers, namely, nitrogen, phosphorus and potassium. Thus the study was accomplished using the calculus optimum value of the free/letter parameter f=1.1072569. The specific objectives were to estimate the linear parameters, thereby making available for the yield response of rose coco beans at calculus optimum value design for the first time, fitted and tested the model adequacy via lack of fit test, and then found the setting of the experimental factors that produces optimal response using contour plots to assist visualizes the response surfaces. This study demonstrated the importance of statistical methods in the optimal and efficient production of rose coco beans. The results showed that the three factors: nitrogen, phosphorus, and potassium contributed significantly on the yield of rose coco beans (p<0.05). The regression coefficients were determined by employing least square's techniques to predict quadratic polynomial model for group 3 greenhouse (GP3G) for the three fertilizer combinations. In GP3G, the second-order model was adequate at 1% level of significance with a p-value of 0.0034. The analysis of variance (ANOVA) of response surface for rose coco yield showed that this design was adequate due to satisfactory level of a coefficient of determination, R2, 0.8066 (GP3G) and coefficient variation, CV was 10.30. The canonical analysis showed that there was the saddle point for GP3G, meaning there was no unique optimum; therefore, ridge analysis was used to overcome the saddle problem. The result from ridge analysis provided the maximum yield of 70.25grams for the three fertilizer combinations at radii of one. We, therefore, recommend the use of GP3G design since it gave the required coefficient of determination (R2=80.66) and the maximum yield (70. 25grams) was achieved.
      PubDate: 2017-12-15
      DOI: 10.14419/ijasp.v6i1.8552
      Issue No: Vol. 6, No. 1 (2017)
  • Methods for choice of model in descriptive time se-ries : A review with

    • Authors: Dennis Enegesele, Ifeanyi Iwueze, Maxwell Ijomah, Taiwo Owolabi
      Pages: 10 - 17
      Abstract: This paper is a review of existing methods with illustrative examples for choice of model in descriptive time series. The methods reviewed are three graphical methods, X-12 ARIMA method and the method of seasonal differences and quotients. For each method, the same illustrative example and simulated data were used to demonstrate each method. The results obtained from the various methods using simulated additive and multiplicative series show that the various methods identified correctly the appropriate model for decomposition. Also, applying the various methods to quarterly sales of petroleum products from 2004-2013, the result reviewed that the appropriated model for decomposition of the series is the multiplicative model.
      PubDate: 2017-12-19
      DOI: 10.14419/ijasp.v6i1.8606
      Issue No: Vol. 6, No. 1 (2017)
  • Estimating hazard rates using appropriate statistical distribution

    • Authors: Nermin Fahmy
      Pages: 18 - 23
      Abstract: This research deals primarily with the hazard rate function of a class of distributions, and discusses the relation between the hazard rate function, and the density function. It was found that the Makeham-Gompertz mortality distribution and the truncated extreme value distribution had the same hazard rate function. We used the hazard rate function derived from these distributions to find the actuarial functions.
      PubDate: 2017-12-22
      DOI: 10.14419/ijasp.v6i1.8358
      Issue No: Vol. 6, No. 1 (2017)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
Home (Search)
Subjects A-Z
Publishers A-Z
Your IP address:
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-