نتایج جستجو برای: sectional classification

تعداد نتایج: 680514  

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Predicting The Type of Malaria Using Classification and Regression Decision Trees Maryam Ashoori1 *, Fatemeh Hamzavi2 1School of Technical and Engineering, Higher Educational Complex of Saravan, Saravan, Iran 2School of Agriculture, Higher Educational Complex of Saravan, Saravan, Iran Abstract Background: Malaria is an infectious disease infecting 200 - 300 million people annually. Environme...

2015
Carlos Augusto Mattos Alexandre Atsushi Koza Jesus Michelle dos Santos Floter Luccas Franco Bettencourt Nunes Bárbara de Baptista Sanches José Luís Amim Zabeu

OBJECTIVE To analyze the reproducibility of the Tronzo and AO classifications for transtrochanteric fractures. METHOD This was a cross-sectional study in which the intraobserver and interobserver concordance between two readings made by 11 observers was analyzed. The analysis of the variations used the kappa statistical method. RESULTS Moderate concordance was found in relation to the AO cl...

Journal: :International journal of medical science and clinical research studies 2022

Introduction: The mediopatellar plica are folds in the synovium that represent embryological remnant development of synovial cavity knee. Our study aim to investigate damage using Sakakibara classification and cartilage lesions Outerbridge based on arthroscopy findings Methods: A multi-center retrospective cross-sectional analytical was conducted patients at Wahidin Sudirohusodo Hospital networ...

2009
Loukia Meligkotsidou Elias Tzavalis Ioannis D. Vrontos

In this paper a Bayesian approach to unit root testing for panel data models is proposed based on the comparison of stationary autoregressive models with and without individual deterministic trends, with their counterpart models with a unit autoregressive root. This is done under cross-sectional dependence among the units of the panel. Simulation experiments are conducted with the aim to assess...

2011
B. KHESIN

Many conservative partial differential equations correspond to geodesic equations on groups of diffeomorphisms. Stability of their solutions can be studied by examining sectional curvature of these groups: negative curvature in all sections implies exponential growth of perturbations and hence suggests instability, while positive curvature suggests stability. In the first part of the paper we s...

2010
George Kapetanios James Mitchell Yongcheol Shin Taewhan Kim Jinwook Jeong Myunghwan Seo

This paper proposes a new panel model of cross-sectional dependence. The model has a number of potential structural interpretations that relate to economic phenomena such as herding in financial markets. On an econometric level, it provides a flexible approach of modelling interactions across panel units and can generate endogenous cross-sectional dependence that can resemble the dependence tha...

2006
WILFRID S. KENDALL

Suppose that IH is a two-dimensional Cartan-Hadamard manifold with sectional curvatures satisfying a weak negative upper bound and no lower bound. Then the angular part of Brownian motion on IH tends to a limit as time tends to the explosion time of the Brownian motion. Moreover this limit angle has a distribution whose closed support is dense on the circle at infinity. KEY-WORDS : Brownian mot...

2005
Christopher S. Jones Jay Shanken

The average level and cross-sectional variability of fund alphas are estimated from a large sample of mutual funds. This information is incorporated, along with the usual regression estimate of alpha, in a (roughly) precision-weighted average measure of individual fund performance. Substantial ‘‘learning across funds’’ is documented, with significant effects on investment decisions. In a Bayesi...

2011
Michaela Denk Michael Weber Ann McPhail

International organizations collect data from national authorities to create multivariate cross-sectional time series for their analyses. As data from countries with not yet wellestablished statistical systems may be incomplete, the bridging of data gaps is a crucial challenge. This paper investigates data structures and missing data patterns in the crosssectional time series framework, reviews...

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