LMS Technical Analysis: problems of choice

Information Choice Technologies: Technical Appendix

Proof. Proof of claim 1: Suppose all agents acquire full information. In this case Π(bi) = 0 and each agent has to pay c. Deviating from the equilibrium means that the agent receives an uninformative signal, i.e. bi → ∞, but does not have to pay c. From the definition we can easily see that as bi → ∞, τv → 0. In the full information equilibrium, the agent knows that ā = s and thus Var [ā|Ii] = ...

Lung Transplantation: Technical Problems.

The biological problems involved in successful organ transplantation are well known and have been reviewed by Gowans (1962) and by Howard and Michie (1963). Besides these there are many technical difficulties. These may be studied experimentally by lung excision and re-implantation in the same animal, or by lung transplantation from unrelated or related animals. Further, the tolerance time of l...

USING SIMEX FOR SMOOTHING-PARAMETER CHOICE IN ERRORS-IN-VARIABLES PROBLEMS: technical details

This file is part of an old version of the paper. In particular, the text that describes the method and estimators is not the one that was published in JASA. The interest of this file are the proofs, but 1) it would have taken too much time to rewrite them using the exact notations and numberings of the published short version; (2) on the other hand, giving only the proofs without the old text ...

An evaluation and selection problems of OSS-LMS packages

The evaluation and selection of inappropriate open source software in learning management system (OSS-LMS) packages adversely affect the business processes and functions of an organization. Thus, comprehensive insights into the evaluation and selection of OSS-LMS packages are presented in this paper on the basis of three directions. First, available OSS-LMSs are ascertained from published paper...

Portfolio Choice Problems ∗