نتایج جستجو برای: seeming unrelated regression sur

تعداد نتایج: 419462  

Journal: :Mathematics and Statistics 2022

Model selection is the process of choosing a model from set possible models. The model's ability to generalise means it can fit both current and future data. Despite numerous emergences procedures in selecting models automatically, there has been lack studies on multiple equations models, particularly seemingly unrelated regression (SURE) Hence, this study concentrates an automated procedure fo...

2008
Jerald F. LAWLESS

A number of methods have been proposed for dealing with extra-Poisson variation when doing regression analysis of count data. This paper studies negative-binomial regression models and examines efficiency and robustness properties of inference procedures based on them. The methods are compared with quasilikelihood methods. RESUME Plusieurs mkthodes ont ktk propokes en vue de traiter le probltme...

2016
Frank Hofheinz Jörg van den Hoff Ingo G Steffen Alexandr Lougovski Kilian Ego Holger Amthauer Ivayla Apostolova

BACKGROUND We have demonstrated recently that the tumor-to-blood standard uptake ratio (SUR) is superior to tumor standardized uptake value (SUV) as a surrogate of the metabolic uptake rate K m of fluorodeoxyglucose (FDG), overcoming several of the known shortcomings of the SUV approach: excellent linear correlation of SUR and K m from Patlak analysis was found using dynamic imaging of liver me...

2002
Annika Kangas Matti Maltamo

Several models and/or several variable combinations could be used to predict the diameter distribution of a stand. Typically, a fi xed model and a fi xed variable combination is used in all conditions. The calibration procedure, however, makes it possible to choose the measurement combination from among many possibilities, although the model used is fi xed. In this study, the usefulness of util...

2013
Nadezhda M. Belonogova Gulnara R. Svishcheva Cornelia M. van Duijn Yurii S. Aulchenko Tatiana I. Axenovich

Regional-based association analysis instead of individual testing of each SNP was introduced in genome-wide association studies to increase the power of gene mapping, especially for rare genetic variants. For regional association tests, the kernel machine-based regression approach was recently proposed as a more powerful alternative to collapsing-based methods. However, the vast majority of exi...

1999
David McAdams

When supply is fixed in advance, the uniform-price share auction is vulnerable to “collusive-seeming equilibria” in which the realized price is less than a common knowledge lower bound on all bidder’s per share value vi. Our main result is that no collusive-seeming equilibria exist in a variation of the uniform-price auction in which the auctioneer sets supply so as to maximize profits after re...

Journal: :iranian journal of public health 0
seyed mohammad hosein afsarian hamid badali tahereh shokohi sohrab najafipour

background: as regards multilocus sequence typing (mlst) method directly analyze the polymorphism within dna sequences; we performed the first nationwide study on the genotypic relationships of candida albicans strains obtained from oropharynx and bronchoalveolar lavage (bal) samples from immunocompromised patients. methods: fourteen epidemiologically unrelated clinical strains of c. albicans w...

Journal: :recherches en langue et litterature françaises 2011
fatemeh tehrani reyhané raissossadati

cet article s’intéresse aux titres littéraires et aux problèmes de leur traduction.  les stratégies de traduction sont plus nombreuses que ce que l’on croit; mais l’objectif de toute traduction est la restitution du sens. or à travers cette recherche, nous avons tenté de démontrer que la restitution du sens du titre original ne suffit absolument pas. en effet, le travail sur les mots d’un titre...

2007
Paul Rilstone Michael Veall

The usual standard errors for the regression coe cients in a Seemingly Unrelated Regression model have a substantial downward bias. Bootstrapping the standard errors does not seem to improve inferences. In this paper Monte Carlo evidence is reported which indicates that bootstrapping can result in substantially better inferences when applied to t-ratios rather than to standard errors. 3

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