Zobrazeno 1 - 10
of 34
pro vyhledávání: '"I. Pettit"'
Publikováno v:
Comparative Exercise Physiology. 16:423-432
Investigation of dressage riders suggests that the performance outcomes of riding can be enhanced by a rider correctly adapting the motion of their pelvis. The pelvis has been identified as an important component of the physical connection of the hor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fc0a0417cdce52a97dd6e18e1a21b9
https://doi.org/10.3920/cep190071
https://doi.org/10.3920/cep190071
Autor:
L. I. Pettit, Lichun Wang
Publikováno v:
Communications for Statistical Applications and Methods. 25:577-590
Employing the covariance adjustment technique, we show that in the system of two seemingly unrelated multivariate regressions the estimator of regression coefficients can be expressed as a matrix power series, and conclude that the matrix series only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31bd0002f14f206d767c26f24bb4119
https://doi.org/10.29220/csam.2018.25.6.577
https://doi.org/10.29220/csam.2018.25.6.577
Autor:
L. I. Pettit, Lichun Wang
Publikováno v:
Journal of Systems Science and Complexity. 29:1683-1692
For the two-parameter inverse Gaussian distribution denoted by IG(μ, λ), the authors employ a linear Bayes procedure to estimate the parameters μ and λ. The superiority of the proposed linear Bayes estimator (LBE) over both the classical UMVUE an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bb856b70ff5ceecfb033e713954b6a5
https://doi.org/10.1007/s11424-016-5030-7
https://doi.org/10.1007/s11424-016-5030-7
Autor:
N. Sothinathan, L. I. Pettit
Publikováno v:
Journal of Applied Statistics. 40:1561-1571
In this paper, we consider the influence of individual observations on inferences about the Box–Cox power transformation parameter from a Bayesian point of view. We compare Bayesian diagnostic measures with the ‘forward’ method of analysis due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fb7916d312ec72edbcfccdebaca9418
https://doi.org/10.1080/02664763.2013.789007
https://doi.org/10.1080/02664763.2013.789007
Autor:
L. I. Pettit, A. F. M. Saiful Islam
Publikováno v:
Journal of Statistical Computation and Simulation. 84:1644-1653
In this paper, we discuss optimum sample size determination for a bounded linex loss function (blinex). The linex loss function is often used when losses are asymmetric, but it has the disadvantage that it can only be used if the moment-generating fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce51e1b061b02191341f20c0f2b63c24
https://doi.org/10.1080/00949655.2012.757766
https://doi.org/10.1080/00949655.2012.757766
Autor:
A. F. M. Saiful Islam, L. I. Pettit
Publikováno v:
Communications in Statistics - Theory and Methods. 41:223-240
Sample size determination (SSD) is an important issue to consider when estimating any parameter. A number of researchers have studied the Bayesian SSD problem. One group considered utility (or loss) functions and cost functions in their SSD problem a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b1c1a27a3dcbab94a412b02c54f589b
https://doi.org/10.1080/03610926.2010.521279
https://doi.org/10.1080/03610926.2010.521279
Autor:
L. I. Pettit, K. D. S. Young
Publikováno v:
Journal of Time Series Analysis. 27:41-50
We consider the effect, on a Bayes factor, of omitting observations in time-series models. In particular, we study a Bayes factor for deciding between autoregressive models of different orders. Throughout we use Gibbs sampling to estimate the paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293cbbc7d99c86c6777904c47fe76918
https://doi.org/10.1111/j.1467-9892.2005.00449.x
https://doi.org/10.1111/j.1467-9892.2005.00449.x
Autor:
L. I. Pettit, N. Sothinathan
Publikováno v:
Communications in Statistics - Theory and Methods. 34:351-366
This article is concerned with the detection of outliers in a binomial sample. A Bayesian approach to the modeling of outliers is presented and examined. It is supposed that most observations are from a binomial distribution with mean n but a small n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c447c52a45b19e0c901f4e9e817ec617
https://doi.org/10.1080/03610920509342425
https://doi.org/10.1080/03610920509342425
Autor:
Richard K.M. Wong, Andrew I. Pettit, Leong L. Ng, Sonja C. Jennings, Joan E. Davies, Paulene A. Quinn
Publikováno v:
Circulation. 108:1858-1864
Background—Advanced glycation end products (AGEs) enhance NADPH oxidase, and hence respiratory burst activity, of stimulated neutrophils. They are thus potentially vasculopathic, especially in diabetes, uremia, and aging, in which AGEs classically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc0b5469a1633c202b85dbadb8489b05
https://doi.org/10.1161/01.cir.0000089372.64585.3b
https://doi.org/10.1161/01.cir.0000089372.64585.3b
Publikováno v:
European Journal of Operational Research. 148:152-165
In this paper, we illustrate Bayesian statistical inference for some simple stochastic versions of the Lanchester linear and square laws for combat. We show that, given battle data, Bayesian methods may be used both to predict which side will win the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d527bfe81943952388af5cb15232fbfb
https://doi.org/10.1016/s0377-2217(02)00462-9
https://doi.org/10.1016/s0377-2217(02)00462-9