Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variables from a choosen well-behaved distribution and summing them achieving the gaussian distribution, wich is the main result of the central limit theorem. The central limit theorem states that the average of of a sum of N random variables tends to a Gaussian distribution as N approaches infinity. The only requirement is that the variance of the probability distribution for the random variables be finite.Componente Curricular::Educação Superior::Ciências Exata
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
P(論文)"The function f:x→e^(-∞dx=√. It deduces the continuous variable Z probability density function ...
This paper discusses the Central Limit Theorem (CLT) and its applications. The paper gives an introd...
Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variab...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
A model to simulate distributions and show a variety of concepts related to statistics
Using a simulation approach, and with collaboration among peers, this paper is intended to improve t...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
Mestrado em Mathematical FinanceUm dos teoremas mais importantes da Teoria da Probabilidade é o Teor...
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothe...
The majority of simulation experiments fulfill the central limit theorem particularly those that are...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
Stochastic convergence, law of large numbers and central limit theorem is an important part of proba...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
The Central Limit Theorem applet demonstrates the central limit theorem using simulated dice-rolling...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
P(論文)"The function f:x→e^(-∞dx=√. It deduces the continuous variable Z probability density function ...
This paper discusses the Central Limit Theorem (CLT) and its applications. The paper gives an introd...
Conceitos básicos de probabilidade e estatística.The simulation consists in generating random variab...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
A model to simulate distributions and show a variety of concepts related to statistics
Using a simulation approach, and with collaboration among peers, this paper is intended to improve t...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
Mestrado em Mathematical FinanceUm dos teoremas mais importantes da Teoria da Probabilidade é o Teor...
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothe...
The majority of simulation experiments fulfill the central limit theorem particularly those that are...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
Stochastic convergence, law of large numbers and central limit theorem is an important part of proba...
In this paper we started by explaining what a Markov chain is. After this we defined some key concep...
The Central Limit Theorem applet demonstrates the central limit theorem using simulated dice-rolling...
20 pages, 9 figures. Text at the basis of a talk presented at the 7th International Conference on No...
P(論文)"The function f:x→e^(-∞dx=√. It deduces the continuous variable Z probability density function ...
This paper discusses the Central Limit Theorem (CLT) and its applications. The paper gives an introd...