New discrimination procedure of location model
for handling large categorical variables

QR Code

New discrimination procedure of location model for handling large categorical variables

The location model proposed in the past is a predictive discriminant rule that can classify new observations into one of two predefined groups based on mixtures of continuous and categorical variables. The ability of location model to discriminate new observation correctly is highly dependent on the...

Full description

Bibliographic Details
Main Authors:	Hashibah Hamid, Long, Mei Mei, Sharipah Soaad Syed Yahaya
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:	http://journalarticle.ukm.my/11115/ http://journalarticle.ukm.my/11115/1/20%20Hashibah%20Hamid.pdf

Similar Items

Performance analysis and discrimination procedure of two-group location model with some continuous and high-dimensional of binary variables
by: Hashibah Hamid,, et al.
Published: (2022)

Robust Statistical Procedures For Testing The Equality Of Central Tendency Parameters Under Skewed Distributions
by: Soaad Syed Yahaya., Sharipah
Published: (2005)

Robust Statistical Procedures For Testing The Equality Of Central Tendency Parameters Under Skewed Distributions [QA276.A12 S531 2005 f rb].
by: Soaad Syed Yahaya, Sharipah
Published: (2005)

Performance of two-samples pseudo-median procedure
by: Nor Aishah Ahad,, et al.
Published: (2012)

Soft bristles and large handles
by: Ismail, Ahmad Faisal
Published: (2019)

Some investigations on the LDA when handling large number of variable
by: Hamid, Hashibah, et al.
Published: (2010)

A New Selection Procedure For Large Scale Problems
by: Almomani, Mohammad Hani
Published: (2012)

A new approach for classifying large number of mixed variables
by: Hamid, Hashibah
Published: (2010)

Comparison of methods for detecting treatment effects under skewed distributions
by: Syed Yahaya, Sharipah Soaad
Published: (2009)

New smoothed location models integrated with PCA and two types of MCA for handling large number of mixed continuous and binary variables
by: Hamid, Hashibah, et al.
Published: (2018)

New procedure in testing differences between two groups
by: Ahad, Nor Aishah, et al.
Published: (2013)

Robust Linear Discriminant Analysis with Highest Breakdown Point Estimator
by: Yai, Fung Lim, et al.
Published: (2018)

Hoax categorization
by: Lee, Brenda Hooi Fern
Published: (2015)

Integrated smoothed location model and data reduction approaches for multi variables classification
by: Hashibah, Hamid
Published: (2014)

Robust Regression with Continuous and Categorical Variables Having Heteroscedastic Non-Normal Errors
by: Majeed Al-Talib, Bashar Abdul Aziz
Published: (2006)

Binary variable extraction using nonlinear principal component analysis in classical location model
by: Long, Mei Mei
Published: (2016)

Responses of group members to procedural discrimination: The role of ingroup prototypicality
by: Cheng, G., et al.
Published: (2011)

Robustness of trimmed F statistic when handling non-normal data
by: Md Yusof, Zahayu, et al.
Published: (2013)

Performance of two-samples pseudo-median procedure
by: Ahad, Nor Aishah, et al.
Published: (2012)

Improvement of the trimmed mean procedure using bootstrap method
by: Md Yusof, Zahayu, et al.
Published: (2010)

Design procedure for dual air handling unit of air-conditioning system
by: Azizuddin, Abd Aziz, et al.
Published: (2018)

Robust linear discriminant analysis with automatic trimmed mean
by: Syed Yahaya, Sharipah Soaad, et al.
Published: (2016)

A New Framework of Smoothed Location Model with Multiple Correspondence Analysis
by: Hamid, Hashibah
Published: (2015)

Improvement Of Procedures For Incomplete Categorical Data Analysis [QA276.8. H776 2008 f rb].
by: Hoo, Ling Ping
Published: (2008)

Spoken English discrimination (SED) training with multilingual Malaysians: effect of adaptive staircase procedure and background babble in high variability phonetic training.
by: Leong, Christine Xiang Ru
Published: (2017)

Type I error rates of the two-sample pseudo-median procedure
by: Ahad, Nor Aishah, et al.
Published: (2011)

Reactions to procedural discrimination in an intergroup context: The role of group membership of the authority
by: Cheng, G., et al.
Published: (2009)

The performance of robust estimator on linear regression model having both continuous and categorical variables with heteroscedastic errors
by: Midi, Habshah, et al.
Published: (2008)

On robust mahalanobis distance issued from minimum vector variance
by: Ali, Hazlina, et al.
Published: (2013)

Comparative performance of pseudo-median procedure, Welch’s test and Mann-Whitney-Wilcoxon at specific pairing
by: Ahad, Nor Aishah, et al.
Published: (2011)

The impact of data anomaly on EWMA phase II performance
by: Abdul Rahman, Ayu, et al.
Published: (2020)

Performance analysis: an integration of principal component analysis and linear discriminant analysis for a very large number of measured variables
by: Hamid, Hashibah, et al.
Published: (2016)

The new efficient and accurate attribute-oriented clustering algorithms for categorical data
by: Qin, Hongwu
Published: (2012)

Visual simulation approach in robust regression for models having both continuous and categorical variables in the presence of outliers and heteroscedasticity problems
by: A. Talib, Bashar, et al.
Published: (2009)

Comparison of type I error rates between T1 and Ft statistics for unequal population variance using variable trimming
by: Md Yusof, Zahayu, et al.
Published: (2010)

Monte carlo procedure with pseudo-medians for asymmetric distributions
by: Ahad, Nor Aishah, et al.
Published: (2009)

Robustification of CUSUM control structure for monitoring location shift of skewed distributions based on modified one-step M-estimator
by: Abdul Rahman, Ayu, et al.
Published: (2019)

Using principal component analysis to extract mixed variables for smoothed location model
by: Hamid, Hashibah, et al.
Published: (2013)

Chronological categorization and decomposition of customer loads
by: Nourbakhsh, G., et al.
Published: (2012)

Categorizing DLT researches and its applications
by: Shokripour, Amin, et al.
Published: (2009)