مرحبا بالزائر الكريم
الإعلانات
مقدمة عامة عن الإحصاء
• الاستق ا رء من عينة واحدة ومن عينتين، تقدير معالم المجتمع الاحصائي، اختبا ا رت الفروض
الإحصائية
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• تحليل التباين، التصنيف الأحادي والتصنيف...
Sampling Distribution and Central Limit Theorem.
2. Point Estimation.
3. Estimator Properties: Unbiasedness – Mean Squared Error – Consistency – Sufficiency – Minimal Sufficiency –...
In this paper, we consider a two color multi-drawing urn model. At each discrete time step, we
draw a sample of m balls (m >2), which will be returned to the urn together with a random...
In this paper, we consider an unbalanced urn model with multiple drawing. At each
discrete time step n, we draw m balls at random from an urn containing white and blue
balls. The...
Following the model introduced by Aguech et al. (Probab Eng Inf Sci 21:133–141, 2007), the weighted depth of a node in a labelled rooted tree is the sum of all labels on the path connecting...
A Moran process or Moran model is a simple stochastic process used in biology to describe finite populations. The process is named after Patrick Moran, who first proposed the model in...
The simplest example of a fragmentation process is the stick–breaking process, More precisely, let us consider a stick of unit size and say that after an exponentially distributed time the...
In mathematics and computer science, a random tree is a tree or arborescence that is formed by a stochastic process. Types of random trees include:
Uniform spanning tree, a spanning tree of...