Results 331 to 340 of about 2,398,940 (392)

L‐Moments: Analysis and Estimation of Distributions Using Linear Combinations of Order Statistics

, 1990
L-moments are expectations of certain linear combinations of order statistics. They can be defined for any random variable whose mean exists and form the basis of a general theory which covers the summarization and description of theoretical probability ...
J. Hosking
semanticscholar   +1 more source

Regional Frequency Analysis: An Approach Based on L-Moments

, 1997
Preface 1. Regional frequency analysis 2. L-moments 3. Screening the data 4. Identification of homogeneous regions 5. Choice of a frequency distribution 6. Estimation of the frequency distribution 7.
J. Hosking, J. R. Wallis
semanticscholar   +1 more source

Moment Products and Product Moments

Calcutta Statistical Association Bulletin, 1991
Some identitices linking moment products with prodct moments of functions of order statistics from a independent and non identically distributed random variables are derived using permanents.
K. Balasubramanian, M. I. Beg
openaire   +2 more sources

Multitarget Bayes filtering via first-order multitarget moments

, 2003
The theoretically optimal approach to multisensor-multitarget detection, tracking, and identification is a suitable generalization of the recursive Bayes nonlinear filter.
R. Mahler
semanticscholar   +1 more source

Image Description With Polar Harmonic Fourier Moments

IEEE transactions on circuits and systems for video technology (Print), 2020
Due to their good rotational invariance and stability, image continuous orthogonal moments are intensively applied in rotationally invariant recognition and image processing.
Chun-peng Wang, Xing-yuan Wang, Zhi-qiu Xia, Bin Ma, Y. Shi   +4 more
semanticscholar   +1 more source

Image analysis via the general theory of moments

, 1980
Two-dimensional image moments with respect to Zernike polynomials are defined, and it is shown how to construct an arbitrarily large number of independent, algebraic combinations of Zernike moments that are invariant to image translation, orientation ...
M. Teague
semanticscholar   +1 more source

Accurate Approximations for Posterior Moments and Marginal Densities

, 1986
This article describes approximations to the posterior means and variances of positive functions of a real or vector-valued parameter, and to the marginal posterior densities of arbitrary (i.e., not necessarily positive) parameters.
Luke Tierney, J. Kadane
semanticscholar   +1 more source

Invariant Image Recognition by Zernike Moments

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
The problem of rotation-, scale-, and translation-invariant recognition of images is discussed. A set of rotation-invariant features are introduced. They are the magnitudes of a set of orthogonal complex moments of the image known as Zernike moments ...
A. Khotanzad, Yaw Hua Hong
semanticscholar   +1 more source

Moments of sample moments

Communications in Statistics - Theory and Methods, 1984
The problem offinding expressions for sampling moments of sample moments has been ahistorically old one. This problem is treated here, with the use of partitions and multi partitions , for the univariate as well as the multivariate case. The systematic combinatorial approach minimizes the chance of omitting any contributions and making errors in their ...
openaire   +2 more sources

Not the Moment After, but the Moment Of

South Atlantic Quarterly, 2009
Using the brief (ten-week) rule of Patrice Lumumba in the Congo as an instructive instance for thinking the post-, “Not the Moment After, but the Moment Of” argues that the post- is never the time after but the moment—impossible as it is to understand—of, that is, the moment itself.
openaire   +2 more sources