Temat: Characterization and structure theory - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: On a certain family of bivariate distributions with exponential marginal distributions
Autorzy:: Kowalski, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/748744.pdf
Data publikacji:: 1987
Wydawca:: Polskie Towarzystwo Matematyczne
Tematy:: Characterization and structure theory
Opis:: .
A parametric family of bivariate Moran’s distributions has the following properties: distributions of (X, Y) and (Y, X) are identical, marginal distributions are exponential, the regression of X on Y is linear and distribution of |X - Y| is exponential. In the paper an extension of this family is presented. The family contains distributions satisfying the above conditions and which are different from Moran’s distributions for parameters.
Źródło:: Mathematica Applicanda; 1987, 16, 30
1730-2668
2299-4009
Pojawia się w:: Mathematica Applicanda
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Estimation of linear parametric functions in multiresponse models
Autorzy:: Walkowiak, Ryszard
Powiązania:: https://bibliotekanauki.pl/articles/747810.pdf
Data publikacji:: 1987
Wydawca:: Polskie Towarzystwo Matematyczne
Tematy:: Linear regression
Characterization and structure theory
Opis:: .
Consider an incomplete multiresponse experiment with a classification of the observations into u classes. The class Si contains ti treatments with ni observations. Thus, the experiment can be described by the set {Y1,Y2,...,Yu}, where Yi are ni×ti random matrices of observations from the class Si. For the expectation of each Yi a linear model with main and nuisance parameters is proposed. The problem of (linear) estimation of the main parameters is considered using results of R. Zmyślony [in Mathematical statistics and probability theory (Wisła, 1978), 365–373, Lecture Notes in Statist., 2, Springer, New York, 1980; MR0577292] and J. K. Baksalary [Math. Operationsforsch. Statist. Ser. Statist. 15 (1984), no. 1, 3–35; MR0729609].
Źródło:: Mathematica Applicanda; 1987, 15, 29
1730-2668
2299-4009
Pojawia się w:: Mathematica Applicanda
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Characterization of the inflated Poisson distribution
Autorzy:: Grzegórska, Lucja
Powiązania:: https://bibliotekanauki.pl/articles/747990.pdf
Data publikacji:: 1977
Wydawca:: Polskie Towarzystwo Matematyczne
Tematy:: Characterization and structure theory
Opis:: .
Suppose that the random number X of particles entering a system has the distribution pn=P{X=n}, n=0,1,⋯. Due to the interference of noise, some of the arriving particles are not registered, and the number of particles observed is actually Y, where Y≤X, and Y has the distribution qn=P{Y=n}, n=0,1,⋯. The interference of noise is characterized by the conditional probabilities s(r,n)=P{Y=r|X=n}, 0≤r≤n. In this paper the author assumes that the distribution of X belongs to the class PSD of power series distributions and that the relations E(Y|X=n)=αnp and E(Y2|X=n)=αnp(1−p)+αn2p2 hold with 0
Źródło:: Mathematica Applicanda; 1977, 5, 10
1730-2668
2299-4009
Pojawia się w:: Mathematica Applicanda
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 4.

Tytuł:: A characterization of the Poisson distribution in discrete models with perturbation
Autorzy:: Grzegórska, Lucja
Powiązania:: https://bibliotekanauki.pl/articles/747988.pdf
Data publikacji:: 1977
Wydawca:: Polskie Towarzystwo Matematyczne
Tematy:: Characterization and structure theory
Opis:: .
Suppose that the random number X of particles entering a system has the distribution pn=P{X=n}, n=0,1,⋯. Due to the interference of noise, some of the arriving particles are not registered, and the number of particles observed is actually Y, where Y≤X, and Y has the distribution qn=P{Y=n}, n=0,1,⋯. The interference of noise is characterized by the conditional probabilities s(r,n)=P{Y=r|X=n}, 0≤r≤n. In this paper the author considers the case in which the probabilities s(n,r) form an inflated binomial distribution for each fixed n, i.e., (1) s(0,n)=1−α+αqn and s(r,n)=α(nr)prqn−r for 1≤r≤n, where 0
Źródło:: Mathematica Applicanda; 1977, 5, 10
1730-2668
2299-4009
Pojawia się w:: Mathematica Applicanda
Dostawca treści:: Biblioteka Nauki

Artykuł

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