Polynomial chaosEigenvalue analysisInterpolationIntegration methodsThis paper is concerned with polynomial approximations of the spectral abscissa function (defined by the supremum of the real parts of the eigenvalues) of a parameterized eigenvalue problem, which are closely related to polynomial chaos ...
Maximum likelihood estimation of a polynomial regression function with grouped data - Pethybridge - 1973Pethybridge, R. J. (1973). Maximum likelihood estimation of a polynomial regression function with grouped data. Appl. Statist. 22, 203-212....
Understand how to find the local max and min of a function. Discover how to identify maximum and minimum points of a function. See examples of...
Animal performance fundamentally influences behaviour, ecology, and evolution. It typically varies monotonously with size. A notable exception is maximum running speed; the fastest animals are of intermediate size. Here we show that this peculiar allometry results from the competition between two musculosk...
The maximum‐entropy method is used to construct the end‐to‐end distribution function for lattice polymers when a large number of moments are known exactly. We use two‐dimensional lattice polymers with a finite range of intrachain interaction as examples since, for these systems, the end‐to...
Markov model (GMHMM) by modeling state emission parameters (mean and variance) as a polynomial function of a continuous environment-dependent variable. At... X Cui,Y Gong - 《IEEE Transactions on Audio Speech & Language Processing》 被引量: 81发表: 2007年 Student-t censored regression model:...
It just means finding a negative cycle in GfGf and putting flow on each edge of it. If you pick the cycle with the minimum mean cost, it can be proven that this takes polynomial time, much like in Edmonds-Karp where you pick the path with the minimum cost....
see ref.26]. A direct calculation on the basis of empirical data suggestsmt ≈ 54 kg (see Methods), a physical prediction firmly grounded in first principles, and situated between statistical estimates based on polynomial models [mt ≈ 119 kg, see ref.6], or linear breakpoint ...
2.1.1508 Part 1 Section 21.2.2.127, ofPieType (Pie of Pie or Bar of Pie Type) 2.1.1509 Part 1 Section 21.2.2.128, order (Order) 2.1.1510 Part 1 Section 21.2.2.129, order (Polynomial Trendline Order) 2.1.1511 Part 1 Section 21.2.2.130, orientation (Axis Orientation) 2.1.1512 ...
This approach first estimates the received preamble using a least squares method and then maximizes the corresponding likelihood function. In addition to the standard calculations, this method requires an extra procedure to solve the roots of a polynomial function, which is disadvantageous for real-...