Visualization of Skewed Data

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A new approach for data visualization problem

Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...

متن کامل

Outlier detection for skewed data

Most outlier detection rules for multivariate data are based on the assumption of elliptical symmetry of the underlying distribution. We propose an outlier detection method which does not need the assumption of symmetry and does not rely on visual inspection. Our method is a generalization of the Stahel-Donoho outlyingness. The latter approach assigns to each observation a measure of outlyingne...

متن کامل

Robust classification for skewed data

In this paper we propose a robust classification rule for skewed distributions. For low dimensional data, the classification is based on the adjusted outlyingness. In the case of high dimensional data, the robustified SIMCA method is adjusted for skewness. The robustness of the method is investigated through different simulations and by applying it to various real examples.

متن کامل

Performance Analysis for Skewed Data

Information technology and the media have changed the face of business practices today. Customers now play the key role for the success of any business and noncompliance to their specifications will simply lead to failure of the business. Researchers across many disciplines have worked out several modifications of the traditional process capability measures to obtain better estimates of the pro...

متن کامل

Succinct Approximate Counting of Skewed Data

Practical data analysis relies on the ability to count observations of objects succinctly and efficiently. Unfortunately the space usage of an exact estimator grows with the size of the a priori set from which objects are drawn while the time required to maintain such an estimator grows with the size of the data set. We present static and on-line approximation schemes that avoid these limitatio...

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

ژورنال

عنوان ژورنال: Revista Colombiana de Estadística

سال: 2014

ISSN: 2389-8976,0120-1751

DOI: 10.15446/rce.v37n2spe.47945