نتایج جستجو برای: descriptave and causal methods

تعداد نتایج: 16912397  

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده فنی 1393

a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده ادبیات و علوم انسانی 1391

abstract: one of the most visited & important spaces in different countries by tourist are urban areas. the old tehran which major part is located in district 12 is historical showcase of the capital, but, its hiidden cultural attraction is not used as it should be. this thesis occasionally engage in studying the efficacy of correct installation of travel guide boards in welfare & easily acc...

Journal: :Cold Spring Harbor Perspectives in Medicine 2020

2011
Amanda Stevenson

Comparative effectiveness research often uses non-experimental observational data (like hospital discharge records or nationally representative surveys) to draw causal inference about the effectiveness of interventions for health. These ex post inferences require the careful use of specialized statistical methods in order to account for issues like selection bias and unmeasured heterogeneity. T...

پایان نامه :وزارت بهداشت، درمان و آموزش پزشکی - دانشگاه علوم پزشکی و خدمات بهداشتی درمانی مشهد - دانشکده دندانپزشکی 1390

objective: the objective of this study was to investigate the invitro fluoride release of four new self-adhesive resin cements; set (sdi, australia), breeze (pentron, usa), embrace wetbond (pulpdent, usa), g-cem (gc, japan) and to assess the bonding performance of these self-adhesive resin cements for bonding of orthodontic brackets. materials and methods: for fluoride release experiment, six ...

Journal: :Journal of Parallel and Distributed Computing 2021

2007
Pu Chen Chihying Hsiao Peter Flaschel Willi Semmler

In this paper we apply the method of inferred causation for macroeconomic analysis. First we introduce briefly the theory of inferred causation developed by Pearl and Verma (1991). We apply this method to the identification of structural vector autoregression (SVAR) models. In an example of monetary policy analysis we demonstrate how causal information embedded in the data can be used to identi...

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