Temat: binomial distribution - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Bivariate negative binomial distribution of the Marshall-Olkin type
Autorzy:: Kopocińska, Ilona
Powiązania:: https://bibliotekanauki.pl/articles/1338936.pdf
Data publikacji:: 1999
Wydawca:: Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:: bivariate negative geometrical
negative binomial distribution
Opis:: The bivariate negative binomial distribution is introduced using the Marshall-Olkin type bivariate geometrical distribution. It is used to the estimation of the distribution of the number of accidents in standard data.
Źródło:: Applicationes Mathematicae; 1998-1999, 25, 4; 457-461
1233-7234
Pojawia się w:: Applicationes Mathematicae
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Multivariate negative binomial distributions generated by multivariate exponential distributions
Autorzy:: Kopociński, Bolesław
Powiązania:: https://bibliotekanauki.pl/articles/1338938.pdf
Data publikacji:: 1999
Wydawca:: Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:: bivariate geometrical distribution
multivariate exponential distribution
multivariate negative binomial distribution
Opis:: We define a multivariate negative binomial distribution (MVNB) as a bivariate Poisson distribution function mixed with a multivariate exponential (MVE) distribution. We focus on the class of MVNB distributions generated by Marshall-Olkin MVE distributions. For simplicity of notation we analyze in detail the class of bivariate (BVNB) distributions. In applications the standard data from [2] and [7] and data concerning parasites of birds from [4] are used.
Źródło:: Applicationes Mathematicae; 1998-1999, 25, 4; 463-472
1233-7234
Pojawia się w:: Applicationes Mathematicae
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Pairs of successes in Bernoulli trials and a new n-estimator for the binomial distribution
Autorzy:: Kühne, Wolfgang
Neumann, Peter
Stoyan, Dietrich
Stoyan, Helmut
Powiązania:: https://bibliotekanauki.pl/articles/1340510.pdf
Data publikacji:: 1994
Wydawca:: Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:: n-estimator
simulation
silicon wafer
Markov chain
binomial distribution
Opis:: The problem of estimating the number, n, of trials, given a sequence of k independent success counts obtained by replicating the n-trial experiment is reconsidered in this paper. In contrast to existing methods it is assumed here that more information than usual is available: not only the numbers of successes are given but also the number of pairs of consecutive successes. This assumption is realistic in a class of problems of spatial statistics. There typically k = 1, in which case the classical estimators cannot be used. The quality of the new estimator is analysed and, for k > 1, compared with that of a classical n-estimator. The theoretical basis for this is the distribution of the number of success pairs in Bernoulli trials, which can be determined by an elementary Markov chain argument.
Źródło:: Applicationes Mathematicae; 1993-1995, 22, 3; 331-337
1233-7234
Pojawia się w:: Applicationes Mathematicae
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 4.

Tytuł:: Characterizations of distributions by moments of order statistics when the sample size is random
Autorzy:: Grudzień, Zofia
Szynal, Dominik
Powiązania:: https://bibliotekanauki.pl/articles/1340262.pdf
Data publikacji:: 1995
Wydawca:: Polska Akademia Nauk. Instytut Matematyczny PAN
Tematy:: Poisson distribution
logarithmic series
binomial
random sample size
geometrical
order statistics
recurrence formula
uniform distribution
negative binomial
moments
Opis:: We give characterizations of the uniform distribution in terms of moments of order statistics when the sample size is random. Special cases of a random sample size (logarithmic series, geometrical, binomial, negative binomial, and Poisson distribution) are also considered.
Źródło:: Applicationes Mathematicae; 1995-1996, 23, 3; 305-318
1233-7234
Pojawia się w:: Applicationes Mathematicae
Dostawca treści:: Biblioteka Nauki

Artykuł

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