سرمد, مجید
گروه آمار، دانشگاه فردوسی مشهد
[ 1 ] - شناسایی نقاط دورافتاده در داده های نرمال بر اساس مقادیر Z اصلاح شده مشاهدات
در این مقاله، به دلیل اهمیت و گستردگی استفاده از توزیع نرمال، نمونه های مبتنی بر این توزیع در نظر گرفته شده، با استفاده از مقادیر برش وابسته به حجم نمونه، نقاط دورافتاده آنها شناسایی می شوند. برای به دست آوردن مقادیر برش بهینه یک مسا له تصمیم مطرح و به روشی کمبیشینه (مینیماکس) حل می گردد. در حل این مسا له از روش شبیه سازی بهره گرفته شده است .
[ 2 ] - Introduction to circular data
In many diverse scientific fields, the measurements are directions. For instance, a biologist may be measuring the direction of flight of a bird or the orientation of an animal. A series of such observations is called ”directional data”. Since a direction has no magnitude, these can be conveniently represented as points on the circumference of a unit circle centered at the origin or as unit ...
[ 3 ] - Meta-Analysis in R Using Package rmeta
Meta-Analysis means a statistical analysis on the results of their findings is to combine a large number of independent studies. Meta-Analysis software is needed to be done for convenience, Statistical Software for Meta-Analysis is available in many statistical packages available in the present study provide software R is for Meta-Analysis. First, a brief description of the Meta-Analysis, Stati...
[ 4 ] - Outlier Detection for Support Vector Machine using Minimum Covariance Determinant Estimator
The purpose of this paper is to identify the effective points on the performance of one of the important algorithm of data mining namely support vector machine. The final classification decision has been made based on the small portion of data called support vectors. So, existence of the atypical observations in the aforementioned points, will result in deviation from the correct decision. Thus...
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