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Article
A Comparison for Some of the Estimators of Rayleigh Distribution with Simulation

Authors: Yahya Mahdi Al Mayali --- IrtifaaAbulKadhumAl_Shaibani
Journal: journal of kerbala university مجلة جامعة كربلاء ISSN: 18130410 Year: 2013 Volume: 11 Issue: 4 Pages: 104-112
Publisher: Kerbala University جامعة كربلاء

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Abstract

In this paper , we use some statistical estimation methods to estimate the an unknown parameter of Rayleigh distribution to Know which is the best (the method that has less error).Bytaking maximum likelihood estimation , Bayes estimation , shrinkage estimation , and Bayesian shrinkage estimation . After then we applied the results in simulation study to compare these results , and obtain which method is the best .

في هذه الدراسة , استخدمنا بعض طرائق التقدير لتقدير معلمة توزيع Rayleigh لمعرفة الأفضل )الطريقة التي تعطي أقل خطأ ممكن) . إن الطرائق المستخدمة هي : طريقة تقدير الإمكان الأعظم والتقدير البيزي و البيزي المتقلص . لقد تم تطبيق النتائج في دراسة المحاكاة للمقارنة فيما بينها والحصول على أفضل طريقة .

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Article
A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution

Authors: Fadhil abdulabaas --- Yahya Mahdi Al – Mayali --- Irtifaa AbulKadhum Neama
Journal: Journal of Kufa for Mathematics and Computer مجلة الكوفة للرياضيات والحاسوب ISSN: 11712076 Year: 2013 Volume: 1 Issue: 8 Pages: 21-28
Publisher: University of Kufa جامعة الكوفة

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Abstract

In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program. The comparison show that the Bayes estimator gives the best results ( less error) .


Article
Discriminant Analysis of Bronchitis Cancer Data

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Abstract

The aim of this research is to predict membership intwo mutually exclusive groups of bronchitis cancerpatients, and allocating new patients usingDiscriminant Analysis.Discrimination is a multivariate techniqueconcerned with separating distinct sets of objects(or observations) and with allocating new objects(observation) to previously defined groups. Theresults showed 90% , and 98% of dead and alivepatients were classified correctly. Only 2% and10% of dead and alive patients were misclassifiedIntroductionDiscriminant analysis was first introduced by R.A.Fisher in 1936 [6]. It is rather exploratory in nature.As a separative procedure, it is often used on a onetimebasis in order to investigate observeddifferences when fundamental relationships are notwell understood. Classification procedures are lessexploratory in the sense that they lead to welldefinedrule, which can be used for assigning newobjects.Previous studies showed the used ofdiscriminant functions to classify three types oflesions in three groups: The normal, the benign,and the malignant. It was observed that thecorrectly classified carcinoma is only 42% andfor normal are 100%. [7].The main contribution of this paper is to proposea simple Fisher-type discriminant method ongene selection in microarray data.[5]Other study compared the performance ofdifferent discrimination methods for theclassification of tumors based on gene expressiondata.[9]

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Article
Survival Analysis of Breast Tumor in Al-Najaf
تحليل البقاء لإورام الثدي في محافظة النجف

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Abstract

Abstract Breast cancer is the most common type of tumor in Iraq. This research is mainly concerned with study analysis of breast tumor data. A representative random sample of patient suffering from tumor was collected from Al-Sadder hospital in Al-Najaf city. The data was then analyze using survival analysis technique.

ملخص البحثأورام الثدي هي ربما أكثرالأورام انتشارا في العراق. يتناول هذا البحث دراسة وتحليل بيانات أورام الثدي. جمعت العينة العشوائية من المرضى المصابين بأورام الثدي والذين يتلقون علاجهم في مستشفى الصدر التعليمي في محافظة النجف الأشرف. وقد تم تحليل البيانات بطريقة تحليل البقاء.

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