On the moments of normal probability distribution.
Căbulea, Lucia (2001)
Acta Universitatis Apulensis. Mathematics - Informatics
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Displaying similar documents to “The integral limit theorem in the first passage problem for sums of independent nonnegative lattice variables.”
On the moments of normal probability distribution.
On the paradox of three random variables
S. Trybuła (1961)
Applicationes Mathematicae
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On the paradox of n random variables
S. Trybuła (1965)
Applicationes Mathematicae
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Random split of the interval [0,1]
B. Kopociński (2004)
Applicationes Mathematicae
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We define two splitting procedures of the interval [0,1], one using uniformly distributed points on the chosen piece and the other splitting a piece in half. We also define two procedures for choosing the piece to be split; one chooses a piece with a probability proportional to its length and the other chooses each piece with equal probability. We analyse the probability distribution of the lengths of the pieces arising from these procedures.
On a limit theorem for random sequences.
Janković, Slobodanka (1987)
Publications de l'Institut Mathématique. Nouvelle Série
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A generalized Ostrowski type inequality for a random variable whose probability density function belongs to .
Rafiq, Arif, Mir, Nazir Ahmad, Zafar, Fiza (2008)
Applied Mathematics E-Notes [electronic only]
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Probability in the alternative set theory
Martin Kalina (1989)
Commentationes Mathematicae Universitatis Carolinae
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Expected values in the alternative set theory and their applications to some limit theorems
Martin Kalina (1994)
Commentationes Mathematicae Universitatis Carolinae
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This article presents an alternative approach to statistical moments within non-standard models and by the help of these moments some limit theorems are reformulated and proved.
On random split of the segment
Milena Bieniek, Dominik Szynal (2005)
Applicationes Mathematicae
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We consider a partition of the interval [0,1] by two partition procedures. In the first a chosen piece of [0,1] is split into halves, in the second it is split by uniformly distributed points. Initially, the interval [0,1] is divided either into halves or by a uniformly distributed random variable. Next a piece to be split is chosen either with probability equal to its length or each piece is chosen with equal probability, and then the chosen piece is split by one of the above procedures....
On the product of triangular random variables
Mridula Garg, Sangeeta Choudhary, Saralees Nadarajah (2009)
Applicationes Mathematicae
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We derive the probability density function (pdf) for the product of three independent triangular random variables. It involves consideration of various cases and subcases. We obtain the pdf for one subcase and present the remaining cases in tabular form. We also indicate how to calculate the pdf for the product of n triangular random variables.
On algorithmical testing tables of random numbers.
D. Banjevic, Z. Ivkovic (1979)
Publications de l'Institut Mathématique [Elektronische Ressource]
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