Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  estimation of parameters
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Estimation of parameters of Tömquist’s functions with Newton-Raphson’s method

100%
Mantaj A., Wagner W., University of Information Technology and Management in Rzeszów
Acta Universitatis Lodziensis. Folia Oeconomica
|
2008
|
vol. 216
EN
In the work there has been discussed Newton-Raphson’s iterative method of estimation of parameters of Tömquist’s functions of general class and there are derived formulas of their partial derivatives of Ist and 2nd rank. It enabled presentation of uniform form of the vector of parameters of successive iterative approximations allowing their implementation in Excel calculation sheet.
PL
Dla wyznaczania parametrów funkcji Törnquista proponowanych jest wiele metod, wśród nich metody linearyzacji. Są one jednak mało efektywne, aczkolwiek stanowią dobre przybliżenia początkowe parametrów do zastosowania metody Newtona-Raphsona. W tych sytuacjach rozwiązania optymalne najczęściej uzyskuje się już po kilku krokach iteracyjnych. Rozważania przeprowadzone w pracy dotyczyły jednej ogólnej postaci dla wszystkich trzech typów funkcji Törnquista. Umożliwiło to podanie jednolitych wzorów na pochodne cząstkowe względem parametrów funkcji kryterialnej, a jednocześnie pozwoliło na sformułowanie ogólnej postaci wektora przybliżeń w metodzie Newtona- Raphsona.
2
Publication available in full text mode
Content available

A Two-Parameter Lindley Distribution

75%
Shanker R., Mishra A.
Statistics in Transition new series
|
2013
|
vol. 14
|
issue 1
45-56
EN
A two-parameter Lindley distribution, of which the Lindley distribution (LD) is a particular case, has been introduced. Its moments, failure rate function, mean residual life function and stochastic orderings have been discussed. The maximum likelihood method and the method of moments have been discussed for estimating its parameters. The distribution has been fitted to some data-sets to test its goodness of fit.
3
Publication available in full text mode
Content available

A New Quasi Sujatha Distribution

63%
Shanker R., Shukla K. K.
Statistics in Transition new series
|
2020
|
vol. 21
|
issue 3
53-71
EN
The aim of this paper is to introduce a new quasi Sujatha distribution (NQSD), of which the following are particular cases: the Sujatha distribution devised by Shanker (2016 a), the sizebiased Lindley distribution, and the exponential distribution. Its moments and momentsbased measures are derived and discussed. Statistical properties, including the hazard rate and mean residual life functions, stochastic ordering, mean deviations, Bonferroni and Lorenz curves and stress-strength reliability are also analysed. The method of moments and the method of maximum likelihood estimations is discussed for estimating parameters of the proposed distribution. A numerical example is presented to test its goodness of fit, which is then compared with other one-parameter and two-parameter lifetime distributions.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.