Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

نویسندگان

  • Christophe Leys
  • Christophe Ley
  • Olivier Klein
  • Philippe Bernard
  • Laurent Licata
چکیده

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Background and threshold: critical comparison of methods of determination.

Different procedures to identify data outliers in geochemical data are reviewed and tested. The calculation of [mean+/-2 standard deviation (sdev)] to estimate threshold values dividing background data from anomalies, still used almost 50 years after its introduction, delivers arbitrary estimates. The boxplot, [median+/-2 median absolute deviation (MAD)] and empirical cumulative distribution fu...

متن کامل

Statistically robust measurement of evoked response onset latencies.

Onset latencies of evoked responses are useful for determining delays in sensory pathways and for indicating spread of activity between brain areas, therefore inferring causality. Previous studies have applied several different methods and parameters for detecting onsets, mainly utilizing thresholds based on the mean and standard deviation (SD) of the pre-stimulus "baseline" time window, or usi...

متن کامل

A Derivation of the Mean Absolute Distance in One-dimensional Random Walk

In this paper we argue on the use of the mean absolute deviation in 1D random walk as opposed to the commonly accepted standard deviation. It presents an in detail derivation of the closed-form formula for the 1D mean absolute distance, including the proof by induction. The limit for the infinite number of steps is included.

متن کامل

Detection of Outliers in Twstft Data Used in Tai

This paper describes a new filtering technique used to detect and eliminate outlying data in two-way satellite time and frequency transfer (TWSTFT) time links. In the case of TWSTFT data used to calculate International Atomic Time (TAI), three main problems have to be considered: the difficulty of recognizing outliers from useful data; the need to avoid deleting useful data; that TWSTFT links c...

متن کامل

Reliable Exterior Orientation by a Robust Anisotropic Orthogonal Procrustes Algorithm

The paper presents a robust version of a recent anisotropic orthogonal Procrustes algorithm that has been proposed to solve the socalled camera exterior orientation problem in computer vision and photogrammetry. In order to identify outliers, that are common in visual data, we propose an algorithm based on Least Median of Squares to detect a minimal outliers-free sample, and a Forward Search pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014