Results 1  10
of
8,398
On consistent estimators in nonlinear functional EIV models
 In: Van Huel, S., Lemmerling, P. (Eds.), Total Least Squares and ErrorsinVariables Modeling: Analysis, Algorithms and Applications
, 2002
"... For the implicit nonlinear functional relation model a new contrast estimation procedure is proposed, where the deconvolution idea is used for eliminating the nuisance parameters in the usual minimum contrast function. Several examples are considered including L1 and L2 methods. Sufficient conditi ..."
Abstract

Cited by 2 (1 self)
 Add to MetaCart
For the implicit nonlinear functional relation model a new contrast estimation procedure is proposed, where the deconvolution idea is used for eliminating the nuisance parameters in the usual minimum contrast function. Several examples are considered including L1 and L2 methods. Sufficient
Total LeastSquares Adjustment with Prior Information vs. the Penalized LeastSquares Approach to EIVModels
"... In the framework of a GaussMarkov Model (GMM), it is well known that the Bayesian estimator, based on prior information, seems to coincide with the penalized leastsquares estimator, based on Tykhonov regularization. However, their Mean Squared Error (MSE) matrices will be different, giving rise to ..."
Abstract
 Add to MetaCart
to a criterion that can determine the superiority of one over the other with respect to their MSErisk. Here, a similar comparison will be undertaken within the framework of ErrorsInVariables (EIV) Models. An attempt will be made to determine the MSErisk for both the Bayesian Total Least
eiv e
"... For endgrafted PMLG brushes with one end chain restriction, 60 % conversion efficiency from a to ..."
Abstract
 Add to MetaCart
For endgrafted PMLG brushes with one end chain restriction, 60 % conversion efficiency from a to
Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads
 THE JOURNAL OF FINANCE, VOL. 51, NO. 3, PAPERS AND PROCEEDINGS OF THE FIFTYSIXTH
, 1996
"... ..."
Routing in a delay tolerant network
 Proceedings of ACM Sigcomm
, 2004
"... We formulate the delaytolerant networking routing problem, where messages are to be moved endtoend across a connectivity graph that is timevarying but whose dynamics may be known in advance. The problem has the added constraints of finite buffers at each node and the general property that no con ..."
Abstract

Cited by 612 (8 self)
 Add to MetaCart
We formulate the delaytolerant networking routing problem, where messages are to be moved endtoend across a connectivity graph that is timevarying but whose dynamics may be known in advance. The problem has the added constraints of finite buffers at each node and the general property that no contemporaneous endtoend path may ever exist. This situation limits the applicability of traditional routing approaches that tend to treat outages as failures and seek to find an existing endtoend path. We propose a framework for evaluating routing algorithms in such environments. We then develop several algorithms and use simulations to compare their performance with respect to the amount of knowledge they require about network topology. We find that, as expected, the algorithms using the least knowledge tend to perform poorly. We also find that with limited additional knowledge, far less than complete global knowledge, efficient algorithms can be constructed for routing in such environments. To the best of our knowledge this is the first such investigation of routing issues in DTNs.
Re eived i
"... Summary This paper presents a new analytical solution to describe the hydraulic head distribution and flow system in an anisotropic unconfined aquifer with a sloping bed and information for the pumpandtreat design. In addition, the presented solution may have estimating the hydraulic parameters wh ..."
Abstract
 Add to MetaCart
analytical solutions to calculate the head distribution in a heterogeneous rectangular aquifer with source and sink. Amadei and Illangasekare (1992) adopted their solutions to model fluid flow in a fractured rock. Their solutions can deal with complexities
Correct Use of the EIV Method
"... where several known important parameters (ε, κ, q, M, etc.) are omitted for simplicity, but an unknown variable X is included. Candidates for this unknown parameter are the shape factor, the wall condition, the density peaking, the momentum input, and so on. We assume that the function F is logline ..."
Abstract
 Add to MetaCart
where several known important parameters (ε, κ, q, M, etc.) are omitted for simplicity, but an unknown variable X is included. Candidates for this unknown parameter are the shape factor, the wall condition, the density peaking, the momentum input, and so on. We assume that the function F is loglinear one;
Results 1  10
of
8,398