نتایج جستجو برای: gradual omission of outliers

تعداد نتایج: 21165464  

اکبر بیگلریان, , غلامرضا بابایی, , فیروز امانی, , مریم کشاورز, ,

Background: An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Outliers sometimes deal with to abnormality in obtained results from collected data and information. known outlier data by researchers, physicians and other persons that work in medical fields and sciences is important and they must control data before getting result a...

Introduction: Teacher evaluation, as an important strategyfor improving the quality of education, has been considered byuniversities and leads to a better understanding of the strengthsand weaknesses of education. Analysis of instructors’ scoresis one of the main fields of educational research. Since outliersaffect analysis and interpretation of information processes bothstructurally and concep...

Usually when performing a statistical test or estimation procedure, we assume the data are all observations of i.i.d. random variables, often from a normal distribution. Sometimes, however, we notice in a sample one or more observations that stand out from the crowd. These observation(s) are commonly called outlier(s). Outlier tests are more formal procedures which have been developed for detec...

2014
Jeremy Siek Peter Thiemann Philip Wadler

We systematically present four calculi for gradual typing: the blame calculus of Wadler and Findler (2009); a novel calculus that pinpoints blame precisely; the coercion calculus of Henglein (1994); and the threesome calculus of Siek and Wadler (2010). Threesomes are given a syntax that directly exposes their origin as coercions in normal form, a more transparent presentation than that found in...

ژورنال: اندیشه آماری 2015
, , Ghazanfari Hesari, Azade,

One of the most important problem in any statistical analysis is the existence of unexpected observations. Some observations are not a part of the study and are known as outliers. Studies have shown that the outliers affect to the performance of statistical standard methods in models and predictions. The point of this work is to provide a couple of statistical package in R software to identi...

Journal: :British Dental Journal 2005

Objective: This article presents an application of cluster analysis for social sciences researches especially those studies that have an interview as part of their data collection. This application is more suitable for sequential mixed method researchers who use quantitative data to frame subsequent qualitative subsamples for conducting interviews.  Methods: In more detail, the algorithm (i....

2011
Laurent Ughetto Vincent Claveau

Recently, a theoretical fuzzy IR system, based on gradual inclusion measures, has been proposed [1]. In this model, derived from the division of fuzzy relations, the gradual inclusion of a query in a document is modeled by a fuzzy implication. In previous papers, we have shown that, under some assumptions, this model can be seen as a Vector Space Model. This paper also studies other interpretat...

Journal: :Pharmacoepidemiology and drug safety 2013
Kristina Juhlin Xiaofei Ye Kristina Star G Niklas Norén

PURPOSE This study aimed to develop an algorithm for uncovering associations masked by extreme reporting rates, characterize the occurrence of masking by influential outliers in two spontaneous reporting databases and evaluate the impact of outlier removal on disproportionality analysis. METHODS We propose an algorithm that identifies influential outliers and carries out parallel analysis aft...

Journal: :Journal of General Internal Medicine 2005

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