Volume-4 , Issue-3 , Jun 2017, ISSN 2348-4519 (Online) Go Back

• Open Access   Article

  A Statistical Analysis of the Standard of Federal University Wukari’s Bakery, Taraba State

  C.E.Okorie, V.J Ujoh, J.E Ochigbo, M.E.Onudibia

  Research Paper | Isroset-Journal (IJSRMSS)

  Vol.4 , Issue.3 , pp.1-11, Jun-2017

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  Abstract
  People shy away from inferior goods and for this reason, most people prefer foreign goods to home-made goods thereby rendering some industries in Nigeria redundant. Due to the problem of producing less quality bread, some of the companies are not in existence especially bread making companies. This problem of collapses of some companies prompted us into carrying out this research work so as to assess if the bread made by Federal University Wukari is of high standard and void of consumers’ complaints. The following Statistical methods; Chi Square, analysis of variance and quality control charts were used to assess the quality of the bread produced at Federal University Wukari. Data on two major components; sugar content and butter content used in making bread were collected from the company’s production process Register for four (4) consecutive times in a day. The data spanned a period of thirty five (35) days at an interval of seven (7) days per month, from december2015 to April 2016. The results from the chi square and analysis of variance indicated that sugar and butter content used in the production of federal University Wukari’s bread is statistically in-control. Also, with the use of mean chart and range chart, the results indicated that sugar content used in the production is statistically in-control but that of the butter content is not statistically in control as indicated in the control charts.

  Key-Words / Index Term
  Quality Control, Components, production, Content, Deviation

  References
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  Citation
  C.E.Okorie, V.J Ujoh, J.E Ochigbo, M.E.Onudibia, "A Statistical Analysis of the Standard of Federal University Wukari’s Bakery, Taraba State," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.4, Issue.3, pp.1-11, 2017

• Open Access   Article

  Rough Set Based Rule Generation Techniques in Medical Diagnosis: With Reference to Identification of Heart Disease

  Pragati Jain, Kamini Agrawal, Deepensha Vaishnav

  Research Paper | Isroset-Journal (IJSRMSS)

  Vol.4 , Issue.3 , pp.12-18, Jun-2017

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  Rough Set Theory proposed by Pawlak in 1982 has now become very significant in the field of data mining and knowledge discovery. This led to his most widely recognized contribution to classifying objects with their attributes and his introduction of approximation spaces, which establish the foundation of granular computing and provide framework for perception and knowledge discovery in many areas. The theory of rough sets has been under continuous development and a fast growing group of researchers and practitioners are interested in this methodology. The theory has found many interesting applications in medicine, pharmacology, business, banking, market research, engineering design, meteorology, vibration analysis, switching function, conflict analysis, image processing, voice recognition, concurrent system analysis, decision analysis, character recognition, and other fields. The paper presents the concept of Rough Set Theory along with the Rule Generation Techniques in Medical Diagnosis in general and particularly for the identification of heart disease through the Core and Reduct of the concerned attributes of an information system.

  Key-Words / Index Term
  Rough Set Theory, Data Mining, Heart Disease, QRA, LEM2 Algorithm

  References
  [1]. H. L. Chen, B. Yang, J. Liu, D. Y. Liu, “A Support Vector Machine Classifier with Rough Set based Feature Selection for Breast Cancer Diagnosis”, Expert Systems with Applications, Vol.38, Issue.7, pp.9014-9022, 2011.
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  Citation
  Pragati Jain, Kamini Agrawal, Deepensha Vaishnav, "Rough Set Based Rule Generation Techniques in Medical Diagnosis: With Reference to Identification of Heart Disease," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.4, Issue.3, pp.12-18, 2017

• Open Access   Article

  Improved Ratio-Cum-Product Type Exponential Estimator of Population Mean in Stratified Random Sampling

  Rajesh Tailor, Manish Chouhan

  Review Paper | Isroset-Journal (IJSRMSS)

  Vol.4 , Issue.3 , pp.19-29, Jun-2017

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  Abstract
  In this chapter suggests dual to ratio-cum-product type exponential estimator in stratified random sampling. In fact, Srivenkataramana (1980) transformation has been used on Tailor and Chouhan (2013) estimator. The bias and mean squared error of the suggested estimator have been obtained upto the first degree of approximation. The suggested estimator has been compared with usual unbiased estimator in stratified random sampling, combined ratio and product estimators, dual to combined ratio and product estimators, Singh et al. (2008) ratio and product type exponential estimators and dual to ratio and product type exponential estimators given by Tailor et al. (2013). An empirical study shows the performance of the suggested estimator.

  Key-Words / Index Term
  Population Mean, Ratio and product estimator, Correlation coefficient, Bias , Mean squared error.

  References
  [1]. S. Bahl, R.K. Tuteja, “Ratio and product type exponential estimators”, Information and optimization science, Vol.12, Issue.1,1pp.59-163, 1991.
  [2]. H.P. Singh, R. Tailor, S. Singh, J.M. Kim, “A modified estimator of population mean using power transformation”, Statistical Papers, Vol.49, Issue.1, pp.37-58, 2008.
  [3]. H.P. Singh, L.N. Upadhyaya, R. Tailor, “Ratio-cum-product type exponential estimator”, Statistica, Vol.69, Issue.4, pp.299-310, 2009.
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  [5]. T. Srivenkataramana, “A dual of ratio estimator in sample surveys”, Biom. J., Vol.67, Issue.1, pp.199-204, 1980.
  [6]. R. Tailor, S. Chouhan, “Ratio-cum-product type exponential estimator of finite population mean in stratified random sampling”, Comm. Statist. Theo. & Meth., Vol.43, Issue.2, pp.343-354, 2013.
  [7]. R. Tailor, S. Chouhan, R. Tailor, N. Garg, “A ratio-cum-product estimator of population mean in stratified random sampling using two auxiliary variables”, Statistica, Vol.72, Issue.3, pp.287-297, 2012.
  [8]. R. Tailor, N. Jatwa, R. Tailor, N. Garg, “ Dual to ratio and product type exponential estimators in stratified random sampling using two auxiliary variates”,. J. Rel. & Statist. Studs., Vol.6, Issue.2, pp.45-126, 2013.
  [9]. M.H. Hansen, WN. Hurwitz, M. Gurney, “Problems and methods of the sample survey of business”,. J. Amer. Statist. Assoc., Vol.41, Issue.234, 173-189, 1946.
  

  Citation
  Rajesh Tailor, Manish Chouhan, "Improved Ratio-Cum-Product Type Exponential Estimator of Population Mean in Stratified Random Sampling," International Journal of Scientific Research in Mathematical and Statistical Sciences, Vol.4, Issue.3, pp.19-29, 2017