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pro vyhledávání: '"Janusz L. Wywiał"'
Autor:
Janusz L. Wywiał
Publikováno v:
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, Iss 5(965) (2017)
Testing hypotheses or evaluation confidence intervals requires knowledge of some statistics’ distributions. It is convenient if the probability distribution of the statistic converges to normal distribution when the sample size is sufficiently larg
Externí odkaz:
https://doaj.org/article/a2377cc97b444c07b1eaea9fda231045
Estimating the population mean using a continuous sampling design dependent on an auxiliary variable
Autor:
Janusz L. Wywiał
Publikováno v:
Statistics in Transition, Vol 21, Iss 5 (2020)
Continuous distribution of variables under study and auxiliary variables are considered. The purpose of the paper is to estimate the mean of the variable under study using a sampling design which is dependent on the observation of a continuous auxili
Autor:
Grzegorz Sitek, Janusz L. Wywiał
Publikováno v:
Journal of Statistical Computation and Simulation. 90:234-251
The paper compares the accuracy of using cluster samples and using stratified samples to estimate a population total. Several clustering algorithms are used to partition a finite population into st...
Autor:
Janusz L. Wywiał, Grzegorz Sitek
Publikováno v:
Communications in Statistics - Simulation and Computation. 50:1943-1954
The variance of a matrix eigenvalue estimator is considered. This estimator is a function of simple random sample variances and covariances of a multidimensional random variable whose distribution ...
Autor:
Janusz L. Wywiał, Grzegorz Sitek
Publikováno v:
Journal of Statistical Theory and Practice. 15
The estimation accuracy of a population totals vector based on a simple cluster sample is considered. The variance-covariance matrix of estimators depends on the intra-cluster spread of variables under study. The spread depends on the partition of th
Autor:
Janusz L. Wywiał
Publikováno v:
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662634127
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662473825
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662473825
An estimation of the population parameters in finite and fixed populations is taken into account. The estimation is focused on the population average of the variable under study. The values of the variable under study are observed in random samples t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6413c0d7d8cba7065fd90c012dd14101
https://doi.org/10.1007/978-3-662-63413-4_1
https://doi.org/10.1007/978-3-662-63413-4_1
Autor:
Janusz L. Wywiał
Publikováno v:
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662634127
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662473825
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662473825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e608538d50fea4b4210779e071bcaca
https://doi.org/10.1007/978-3-662-63413-4_2
https://doi.org/10.1007/978-3-662-63413-4_2
Autor:
Janusz L. Wywiał
Publikováno v:
Sampling Designs Dependent on Sample Parameters of Auxiliary Variables ISBN: 9783662634127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::394fa4e8cf343876554ee1996b5b02a4
https://doi.org/10.1007/978-3-662-63413-4_3
https://doi.org/10.1007/978-3-662-63413-4_3
Autor:
Janusz L. Wywiał
Publikováno v:
Sankhya B. 80:1-18
The considered problem can be treated as a particular topic in the field of testing some substantive hypothesis in financial auditing. The main theme of the paper is the well-known problem of testing hypothesis on admissibility of the population tota
Autor:
Grzegorz Sitek, Janusz L. Wywiał
Publikováno v:
Acta Universitatis Lodziensis. Folia Oeconomica, Vol 6, Iss 332, Pp 87-98 (2017)
Two non‑parallel lines will be named as bi‑lines. The relationship between the definition of the bi‑lines function and linear regression functions of the distribution mixture is considered. The bi‑lines function parameters are estimated using