نتایج جستجو برای: gradual omission of outliers

تعداد نتایج: 21165464  

Journal: :Folk Life 2021

A study by the Irish Food Board, Bord Bia, in 2008 outlined some lost and forgotten food traditions Ireland based on evidence from a pre-selected expert group. This paper explores inclusion of traditional foods within seventy-nine cookbooks, published between 1980 to 2015. Extant academic grey literature together with content identified gradual decline presence certain foods, point where they c...

Morteza Khodabin, Reza Kazemi Matin

In the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. In these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. This paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. In the prese...

A. Mahdavi M. Towhidi

This article aims to provide a simple robust method to test the parameters of a normal population by using the new diagnostic tool called the “Forward Search” (FS) method. The most commonly used procedures to test the mean and variance of a normal distribution are Student’s t test and Chi-square test, respectively. These tests suffer from the presence of outliers. We introduce the FS version of...

Journal: :Animal Learning & Behavior 1979

Jean-Michel Poggi, Nathalie Chèze ,

A procedure for detecting outliers in regression problems is proposed. It is based on information provided by boosting regression trees. The key idea is to select the most frequently resampled observation along the boosting iterations and reiterate after removing it. The selection criterion is based on Tchebychev’s inequality applied to the maximum over the boosting iterations of ...

A. H. Khammar M. Arefi M. G. Akbari,

In this paper, a new approach is presented to fit arobust fuzzy regression model based on some fuzzy quantities. Inthis approach, we first introduce a new distance between two fuzzynumbers using the kernel function, and then, based on the leastsquares method, the parameters of fuzzy regression model isestimated. The proposed approach has a suitable performance to<b...

Journal: :Behavioral and Brain Sciences 2001

Journal: :Journal of dairy science 2007
N R St-Pierre B Cobanov

Monitoring the nutritional composition of forage can be conceptualized as a quality control process that can be accomplished using control charts such as the Shewhart X-bar chart. A sampling schedule for an X-bar chart is defined by 3 parameters: the number of samples n taken at each sampling time, the sampling interval h, and the control limits L. All 3 parameters affect the performance of the...

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