Zobrazeno 1 - 10
of 17
pro vyhledávání: '"N. M. Neykov"'
Publikováno v:
Austrian Journal of Statistics, Vol 42, Iss 2 (2016)
Different methods are available to estimate the wildlife population development. In this paper a method based on hunter surveys of a Spanish game preserve is proposed. A Poisson model is fitted to estimate the relationship between hunting success and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d969adc0ac1493597d7f2e3844d9adf8
https://doi.org/10.17713/ajs.v42i2.158
https://doi.org/10.17713/ajs.v42i2.158
Publikováno v:
Statistical Papers. 55:187-207
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f52db85c95061eff73888c2a122dcab
https://doi.org/10.1007/s00362-013-0516-z
https://doi.org/10.1007/s00362-013-0516-z
Publikováno v:
Computational Statistics & Data Analysis, 56(6), 1757-1770. Elsevier
The linear quantile regression estimator is very popular and widely used. It is also well known that this estimator can be very sensitive to outliers in the explanatory variables. In order to overcome this disadvantage, the usage of the least trimmed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c25072787c27149638eb26cefda54803
https://doi.org/10.1016/j.csda.2011.10.023
https://doi.org/10.1016/j.csda.2011.10.023
Publikováno v:
Computational Statistics & Data Analysis. 56:34-48
The Maximum Likelihood Estimator (MLE) and Extended Quasi-Likelihood (EQL) estimator have commonly been used to estimate the unknown parameters within the joint modeling of mean and dispersion framework. However, these estimators can be very sensitiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094fba65cad19754786a2c35ec3a948f
https://doi.org/10.1016/j.csda.2011.07.007
https://doi.org/10.1016/j.csda.2011.07.007
Publikováno v:
Environmental and Ecological Statistics. 19:249-267
An eight states non-homogeneous hidden Markov model is developed for linking daily precipitation amounts data at a network of 32 stations broadly covering the territory of Bulgaria to large-scale atmospheric patterns. At each site a 40-year record 19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d6d0fb56197545c7f40b9e2d51db73e
https://doi.org/10.1007/s10651-011-0185-9
https://doi.org/10.1007/s10651-011-0185-9
Publikováno v:
Computational Statistics & Data Analysis. 52:299-308
The maximum likelihood estimator (MLE) has commonly been used to estimate the unknown parameters in a finite mixture of distributions. However, the MLE can be very sensitive to outliers in the data. In order to overcome this the trimmed likelihood es
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61b2c8efa2c0b6bf8fb2a60f22d13e00
https://doi.org/10.1016/j.csda.2006.12.024
https://doi.org/10.1016/j.csda.2006.12.024
Autor:
N. M. Neykov, Christine H. Müller
Publikováno v:
Journal of Statistical Planning and Inference. 116:503-519
Lower bounds for breakdown points of trimmed likelihood (TL) estimators in a general setup are expressed by the fullness parameter of Vandev (Statist. Probab. Lett. 16 (1993) 117) and results of Vandev and Neykov (Statistics 32 (1998) 111) are extend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dab9a1cb6a2634c20de3e24933a6957
https://doi.org/10.1016/s0378-3758(02)00265-3
https://doi.org/10.1016/s0378-3758(02)00265-3
Stochastic daily precipitation models are commonly used to generate scenarios of climate variability or change on a daily time scale. The standard models consist of two components describing the occurrence and intensity series, respectively. Binary l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32b9ced7d76da567f9eed6da4554035
https://doi.org/10.5194/nhessd-2-1223-2014
https://doi.org/10.5194/nhessd-2-1223-2014
Autor:
N. M. Neykov, D. L. Vandev
Publikováno v:
Statistics. 32:111-129
A generalisation of a theorem by Vandev (1993) concerning the finite sample breakdown point is given. Using this result the breakdown point properties of the LMS and LTS estimators of Rousseeuw (1984) and the rank-based regression estimator of Hossje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86b60b2e05909984ec067b39657b9920
https://doi.org/10.1080/02331889808802657
https://doi.org/10.1080/02331889808802657
Publikováno v:
Computational Statistics & Data Analysis. 17:289-302
Since linear discriminant analysis (LDA) and multiple linear regression (MR) are numerically equivalent in the two-group case, robust regression can be used to devise a robust discriminant analysis. While M-estimators will be affected by outliers in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0786176876bb76d601333f601cb280cd
https://doi.org/10.1016/0167-9473(94)90122-8
https://doi.org/10.1016/0167-9473(94)90122-8