[ספר][B] Discriminant analysis and statistical pattern recognition
GJ McLachlan - 2005 - books.google.com
The Wiley-Interscience Paperback Series consists of selected books that have been made
more accessible to consumers in an effort to increase global appeal and general circulation …
more accessible to consumers in an effort to increase global appeal and general circulation …
A simple more general boxplot method for identifying outliers
The boxplot method (Exploratory Data Analysis, Addison-Wesley, Reading, MA, 1977) is a
graphically-based method of identifying outliers which is appealing not only in its simplicity …
graphically-based method of identifying outliers which is appealing not only in its simplicity …
[ספר][B] Growth curve models and statistical diagnostics
JX Pan, KT Fang - 2002 - books.google.com
Growth-curve models are generalized multivariate analysis-of-variance models. The basic
idea of the models is to use different polynomials to fit different treatment groups involved in …
idea of the models is to use different polynomials to fit different treatment groups involved in …
The masking breakdown point of multivariate outlier identification rules
C Becker, U Gather - Journal of the American Statistical Association, 1999 - Taylor & Francis
In this article, we consider simultaneous outlier identification rules for multivariate data,
generalizing the concept of so-called α outlier identifiers, as presented by Davies and …
generalizing the concept of so-called α outlier identifiers, as presented by Davies and …
Identifying outliers with sequential fences
NC Schwertman, R de Silva - Computational statistics & data analysis, 2007 - Elsevier
The identification of contaminated observations or outliers is an important part of data
analysis since such observations can have a profound influence and distort the analysis …
analysis since such observations can have a profound influence and distort the analysis …
[ספר][B] Handbook of applied economic statistics
A Ullah - 1998 - books.google.com
This work examines theoretical issues, as well as practical developments in statistical
inference related to econometric models and analysis. This work offers discussions on such …
inference related to econometric models and analysis. This work offers discussions on such …
6 Outlier identification and robust methods
U Gather, C Becker - Handbook of statistics, 1997 - Elsevier
Publisher Summary This chapter discusses the general principle of outlier generating
models. It describes four main types of outlier identification rules—namely, block …
models. It describes four main types of outlier identification rules—namely, block …
A comparison of two boxplot methods for detecting univariate outliers which adjust for sample size and asymmetry
NJ Carter, NC Schwertman, TL Kiser - Statistical Methodology, 2009 - Elsevier
It is important to identify outliers since inclusion, especially when using parametric methods,
can cause distortion in the analysis and lead to erroneous conclusions. One of the easiest …
can cause distortion in the analysis and lead to erroneous conclusions. One of the easiest …
Power forecasting of three silicon-based PV technologies using actual field measurements
This work focuses on short-term photovoltaic (PV) power forecasting each 5 min of the
following day of a 5.94 kWp grid-connected PV plant located in Safi, Morocco. The PV …
following day of a 5.94 kWp grid-connected PV plant located in Safi, Morocco. The PV …
Multivariate outliers and decompositions of Mahalanobis distance
M Geun Kim - Communications in statistics-theory and methods, 2000 - Taylor & Francis
Two decompositions of the Mahalanobis distance are considered. These decompositions
help to explain some reasons for the outlyingness of multivari-ate observations. They also …
help to explain some reasons for the outlyingness of multivari-ate observations. They also …