Zobrazeno 1 - 10
of 61
pro vyhledávání: '"K. V. Mardia"'
Autor:
K. V. Mardia
Publikováno v:
Journal of Applied Statistics. 25:231-235
Summary Fisher has presented various applications of the repeated integral of the normal distribution function. A new application has appeared in shape distributions. This work has led to the search for an explicit expression for the repeated normal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::681646069610302f72138b234f3418be
https://doi.org/10.1080/02664769823214
https://doi.org/10.1080/02664769823214
Publikováno v:
Advances in Applied Probability. 28:641-661
In machine vision, objects are observed subject to an unknown projective transformation, and it is usual to use projective invariants for either testing for a false alarm or for classifying an object. For four collinear points, the cross-ratio is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ae1fa47f01d7b81e33c03e04cb65b9
https://doi.org/10.1017/s0001867800046425
https://doi.org/10.1017/s0001867800046425
Autor:
K. V. Mardia, A. N. Walder
Publikováno v:
Advances in Applied Probability. 26:893-905
In this paper we study the distribution associated with paired size-and-shape for two sets of correlated points having an underlying Gaussian distribution in the plane. This extends work previously done just for paired shape. Special cases are studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65898313aef0b82e33618b0d548f0d0a
https://doi.org/10.1017/s0001867800026677
https://doi.org/10.1017/s0001867800026677
Autor:
K. V. Mardia, I. L. Dryden
Publikováno v:
Advances in Applied Probability. 26:334-340
The paper considers the bias of Bookstein's mean estimator for shape under the isotropic normal model. This work depends on certain distributional properties of shape variables. An alternative unbiased modified estimator is proposed and its performan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e832181bf1875efa8b366817e25a62ba
https://doi.org/10.1017/s0001867800026227
https://doi.org/10.1017/s0001867800026227
Autor:
S. Rabe, K. V. Mardia
Publikováno v:
Journal of Applied Statistics. 21:479-494
The Ising model has become more prominent in spatial statistics since its applications in image analysis, as pioneered by Besag. This paper describes three multilevel generalizations of the Ising model, including the general spin Ising model. We comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7adf03877b1a0bfa2c3c89031b24a40
https://doi.org/10.1080/757584022
https://doi.org/10.1080/757584022
Autor:
I. L. Dryden, K. V. Mardia
Publikováno v:
Advances in Applied Probability. 23:259-276
In this paper we investigate the exact shape distribution for general Gaussian labelled point configurations in two dimensions. The shape density is written in a closed form, in terms of Kendall's or Bookstein's shape variables. The distribution simp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d841f232e0d19ea66e17ef31ec8f2174
https://doi.org/10.1017/s000186780002348x
https://doi.org/10.1017/s000186780002348x
Autor:
K. V. Mardia, J. T. Kent
Publikováno v:
Biometrika. 78:355-363
SUMMARY Rao's score statistic is a standard tool for carrying out hypothesis tests. A unified approach is given which encompasses many common tests. When a suitable group structure is present, it is shown how the derivation of the test statistic can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8247f109a098782e1c7423f51abb3eaa
https://doi.org/10.1093/biomet/78.2.355
https://doi.org/10.1093/biomet/78.2.355