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الثلاثاء, تشرين اﻷول (أكتوبر) 11, 2016 - 09:32
الثلاثاء, تشرين اﻷول (أكتوبر) 11, 2016 - 08:08
مقدمة عامة عن الإحصاء • الاستق ا رء من عينة واحدة ومن عينتين، تقدير معالم المجتمع الاحصائي، اختبا ا رت الفروض الإحصائية • اختبا ا رت مربع كاي • 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 –...
Summary of the main learning outcomes for students enrolled in the course. Introduction to Sample space, Random events, Probability rules, Conditional probability, Baye’s rule. Definition...
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...