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Relevant bibliographies by topics / Factor analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Factor analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Cheng, Wei. "Factor Analysis for Stock Performance." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050405-180040/.

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2

Conti, Gabriella, Sylvia Frühwirth-Schnatter, James J. Heckman, and Rémi Piatek. "Bayesian exploratory factor analysis." Elsevier, 2014. http://dx.doi.org/10.1016/j.jeconom.2014.06.008.

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This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional agg

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3

關志威 and Chi-wai Kwan. "Influential observations in factor analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B29803895.

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4

Kwan, Chi-wai. "Influential observations in factor analysis /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19003110.

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5

Cool, Deborah E. "Characterization of the human factor XII (Hageman factor) CDNA and the gene." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26980.

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A human liver cDNA library was screened by colony hybridization with two mixtures of synthetic oligodeoxyribonucleotides as probes. These oligonucleotides encoded regions of β-factor Xlla as predicted from the amino acid sequence. Four positive clones were isolated that contained DNA coding for most of factor XII mRNA. A second human liver cDNA library was screened by colony hybridization with ³²P-labeled cDNA clones obtained from the first screen and two identical clones were isolated. DNA sequence analysis of these overlapping clones showed that they contained DNA coding for the signal pepti

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6

Khosla, Nitin, and n/a. "Dimensionality Reduction Using Factor Analysis." Griffith University. School of Engineering, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20061010.151217.

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In many pattern recognition applications, a large number of features are extracted in order to ensure an accurate classification of unknown classes. One way to solve the problems of high dimensions is to first reduce the dimensionality of the data to a manageable size, keeping as much of the original information as possible and then feed the reduced-dimensional data into a pattern recognition system. In this situation, dimensionality reduction process becomes the pre-processing stage of the pattern recognition system. In addition to this, probablility density estimation, with fewer variables i

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7

Khosla, Nitin. "Dimensionality Reduction Using Factor Analysis." Thesis, Griffith University, 2006. http://hdl.handle.net/10072/366058.

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In many pattern recognition applications, a large number of features are extracted in order to ensure an accurate classification of unknown classes. One way to solve the problems of high dimensions is to first reduce the dimensionality of the data to a manageable size, keeping as much of the original information as possible and then feed the reduced-dimensional data into a pattern recognition system. In this situation, dimensionality reduction process becomes the pre-processing stage of the pattern recognition system. In addition to this, probablility density estimation, with fewer variables i

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8

Wang, Jing. "Analogy Between Two Approaches to Separately Identify Specific Factors in Factor Analysis." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1182784851.

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9

Wu, Amery Dai Ling. "Pratt's importance measures in factor analysis : a new technique for interpreting oblique factor models." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2333.

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This dissertation introduces a new method, Pratt's measure matrix, for interpreting multidimensional oblique factor models in both exploratory and confirmatory contexts. Overall, my thesis, supported by empirical evidence, refutes the currently recommended and practiced methods for understanding an oblique factor model; that is, interpreting the pattern matrix or structure matrix alone or juxtaposing both without integrating the information. Chapter Two reviews the complexities of interpreting a multidimensional factor solution due to factor correlation (i.e., obliquity). Three major complexit

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10

Zhang, Guangjian. "Bootstrap procedures for dynamic factor analysis." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153782819.

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11

Lo, Siu-ming, and 盧小皿. "Factor analysis for ranking data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B30162464.

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12

Hwang, Peggy May T. "Factor analysis of time series /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487944660933305.

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13

Jiang, Huangqi. "FACTOR ANALYSIS OF COGNITIVE CONTROL." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1562597562093455.

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14

Lo, Siu-ming. "Factor analysis for ranking data /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B20792967.

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15

Kay, Cheryl Ann. "A comparison of traditional and IRT factor analysis." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4695/.

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This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm (MMLE-EM). Dichotomous item response data was generated under the 2-parameter normal ogive model (2PNOM) using PARDSIM software. Examinee abilities were sampled from both the standard normal and uniform distributions. True item discrimination, a, was normal with a mean of .75 and a standard deviatio

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16

Tsou, Hsiao-Hui Sophie. "Factor analysis of cross-classified data." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2962.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Mathematical Statistics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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17

Li, Ya. "An empirical analysis of factor seasonalities." HKBU Institutional Repository, 2017. https://repository.hkbu.edu.hk/etd_oa/421.

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I establish the existence of seasonality in 42 popular risk factors in the asset pricing literature. I document extensive empirical evidence for the Keloharju et al. (2016) hypothesis that seasonalities in individual asset returns stem from their exposures to risk factors. It is the seasonal patterns in risk factors that lead to the seasonalities in individual asset portfolios. The empirical findings show that seasonalities are widely present among individual asset portfolios. However, both the all-factor model and the Fama-French (2014) five-factor model demonstrate that these patterns greatl

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18

Michael, Steven T. "Attributional style : a confirmatory factor analysis." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/770937.

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The purpose of the current study was to investigate three aspects of the construct validity of attributional style assessment instruments. The first purpose was to determine the independence of stability and globality. The second was to determine if controllability was a dimension of attributional style. The third purpose was to determine if inventories that use real or hypothetical events measure attributional style equally well. One hundred fifty-nine female, and one hudred fifty-five male subjects, completed four questionnaires that assessed attributional style. Results provided some suppor

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19

Kim, Dongyoung M. Eng Massachusetts Institute of Technology. "Spectral factor model and risk analysis." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106115.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 69-70).<br>In this paper, we apply spectral analysis tools to portfolio management. Recognizing volatility and factor beta as major risk sources, we analyze the short-term and longterm components of risk for any given portfolio. We model the portfolio weights as an LTI system filter and describe how the risk metrics behave as one holes the portfolio over increasing horizon. Then, we propos

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20

Cruz, Cavalcanti Yanna. "Factor analysis of dynamic PET images." Thesis, Toulouse, INPT, 2018. http://www.theses.fr/2018INPT0078/document.

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La tomographie par émission de positrons (TEP) est une technique d'imagerie nucléaire noninvasive qui permet de quantifier les fonctions métaboliques des organes à partir de la diffusion d'un radiotraceur injecté dans le corps. Alors que l'imagerie statique est souvent utilisée afin d'obtenir une distribution spatiale de la concentration du traceur, une meilleure évaluation de la cinétique du traceur est obtenue par des acquisitions dynamiques. En ce sens, la TEP dynamique a suscité un intérêt croissant au cours des dernières années, puisqu'elle fournit des informations à la fois spatiales et

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21

Yeh, Thomas. "Analysis of power factor correction converters /." Online version of thesis, 1992. http://hdl.handle.net/1850/11220.

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22

Rapley, Patrica. "Self-efficacy Theory: Relevance of General and Specific Efficacy Beliefs for Psychosocial Adaptation to Chronic Illness Over Time." Thesis, Curtin University, 2001. http://hdl.handle.net/20.500.11937/2542.

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Over the last decade or more, chronic illness research has consistently found that the lineaer relationship between knowledge and behaviour or between behaviour change and improved health outcomes does not exist. Furthermore, the link between behaviour and health status is not as strong as the link between illness-specific efficacy belier and health status. Strategies to increase confidence in illness-specific behaviours have gradually assumed more importance in improving health outcomes. Strategies to improve behaviour-specific efficacy belief can assist individuals to change their behaviour

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23

Siketina, Natalya Hennadievna. "Necessity application dispersion analysis of enterprises in modern conditions." Thesis, Харківський національний університет міського господарства ім. О. М. Бекетова, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/39038.

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The dispersion analysis is used to determine the relationship between the indicators, quantitative assessment of risk parameters. In the analysis of enterprises can different methods and models of analysis are used. Their number and the breadth of application depends on the specific objectives of the analysis and is determined by it tasks in each individual case. When collecting compulsory statistical information, it is quite easy to conduct a dispersion analysis of domestic activities to ensure financial and economic security.

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24

Karimi, Mahdad. "Functional analysis of the -308G/A polymorphism in the tumour necrosis factor promoter." University of Western Australia. School of Biomedical, Biomolecular and Chemical Sciences, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0140.

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[Truncated abstract] Tumor Necrosis Factor (TNF) is a potent pro-inflammatory cytokine involved in a range of biological functions including the differentiation, proliferation and survival of many cell types. The TNF gene lies in the class III region of the major histocompatibility complex (MHC), approximately 250 Kbp centromeric of the HLA-B locus and 850 Kbp telomeric of HLA-DR. Due to the genomic location and biological relevance of TNF, it is thought that genetic heterogeneity at this locus may be associated with autoimmune and infectious diseases. A G-to-A single nucleotide polymorphism (

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25

Brewer, Carl G. "A comparative study of iterative and noniterative factor analytic techniques in small to moderate sample sizes /." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65540.

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26

Fagan, Marcus A. "Factor Retention Strategies with Ordinal Variables in Exploratory Factor Analysis: A Simulation." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707377/.

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Previous research has individually assessed parallel analysis and minimum average partial for factor retention in exploratory factor analysis using ordinal variables. The current study is a comprehensive simulation study including the manipulation of eight conditions (type of correlation matrix, sample size, number of variables per factor, number of factors, factor correlation, skewness, factor loadings, and number of response categories), and three types of retention methods (minimum average partial, parallel analysis, and empirical Kaiser criterion) resulting in a 2 × 2 × 2 × 2 × 2 × 3 × 3 ×

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27

Fluke, Ricky. "A Comparison of Three Correlational Procedures for Factor-Analyzing Dichotomously-Scored Item Response Data." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc332583/.

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In this study, an improved correlational procedure for factor-analyzing dichotomously-scored item response data is described and tested. The procedure involves (a) replacing the dichotomous input values with continuous probability values obtained through Rasch analysis; (b) calculating interitem product-moment correlations among the probabilities; and (c) subjecting the correlations to unweighted least-squares factor analysis. Two simulated data sets and an empirical data set (Kentucky Comprehensive Listening Test responses) were used to compare the new procedure with two more traditional tech

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28

Upadrasta, Bharat. "Boolean factor analysis a review of a novel method of matrix decomposition and neural network Boolean factor analysis /." Diss., Online access via UMI:, 2009.

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Thesis (M.S.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2009.<br>Includes bibliographical references.

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29

Yang, Shanshan. "Improving Seasonal Factor Estimates for Adjustment of Annual Average Daily Traffic." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/709.

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Traffic volume data are input to many transportation analyses including planning, roadway design, pavement design, air quality, roadway maintenance, funding allocation, etc. Annual Average Daily Traffic (AADT) is one of the most often used measures of traffic volume. Acquiring the actual AADT data requires the collection of traffic counts continuously throughout a year, which is expensive, thus, can only be conducted at a very limited number of locations. Typically, AADTs are estimated by applying seasonal factors (SFs) to short-term counts collected at portable traffic monitoring sites (PTMSs

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30

Jangerstad, August. "Transcription factor analysis of longitudinal mRNA expression data." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278693.

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Transcription factors (TFs) are key regulatory proteins that regulate transcriptionthrough precise, but highly variable binding events to cis-regulatory elements.The complexity of their regulatory patterns makes it difficult to determinethe roles of different TFs, a task which the field is still struggling with.Experimental procedures for this purpose, such as knock out experiments, arehowever costly and time consuming, and with the ever-increasing availabilityof sequencing data, computational methods for inferring the activity of TFsfrom such data have become of great interest. Current method

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31

Brockwell, Timothy Graham. "Application of factor analysis to spectroscopic methods." Thesis, University of Greenwich, 1992. http://gala.gre.ac.uk/6117/.

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32

Garrett, Keith. "Vulnerabililty Analysis of Multi-Factor Authentication Protocols." UNF Digital Commons, 2016. http://digitalcommons.unf.edu/etd/715.

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In this thesis, the author hypothesizes that the use of computationally intensive mathematical operations in password authentication protocols can lead to security vulnerabilities in those protocols. In order to test this hypothesis: 1. A generalized algorithm for cryptanalysis was formulated to perform a clogging attack (a formof denial of service) on protocols that use computationally intensive modular exponentiation to guarantee security. 2. This technique was then applied to cryptanalyze four recent password authentication protocols, to determine their susceptibility to the clogging attack

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33

Dinsmore, Kimberly R., and L. Lee Glenn. "Factor Analysis of the Learning Orientation Questionnaire." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etsu-works/7553.

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34

Bussey, Heidi Celeste. "Special Education Teacher Burnout: A Factor Analysis." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9244.

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The poor retention of special education teachers negatively impacts student academic outcomes. Special education teachers commonly cite burnout as a primary reason for leaving the field; however, there is a deficit of literature available to validate claims concerning special educators and their level of burnout. This study analyzed the psychometric properties of the Maslach Burnout Inventory: Educators' Survey using a sample of 349 special education teachers from schools across the nation (201 resource room special education teachers and 148 self-contained special education teachers). The Mas

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35

Xu, Ruoyan. "Analysis of fibroblast growth factor-heparin interactions." Thesis, University of Liverpool, 2012. http://livrepository.liverpool.ac.uk/8833/.

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The functions of a large number (> 435) of extracellular regulatory proteins are controlled by their interactions with heparan sulfate (HS). In the case of fibroblast growth factors (FGFs), HS binding controls their transport between cells and is required for the assembly of a high affinity signaling complex with the cognate FGF receptor. However, the specificity of the interaction of FGFs with HS is still debated. In this thesis, a panel of FGFs (FGF-1, FGF-2, FGF-7, FGF-9, FGF-18 and FGF-21) spanning five FGF sub-families were used to probe their specificities for HS/heparin at different lev

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36

LAPI, MICHELA. "STRUCTURAL ANALYSIS OF TRANSCRIPTION FACTOR/DNA COMPLEXES." Doctoral thesis, Università degli Studi di Milano, 2021. http://hdl.handle.net/2434/834212.

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Binding of transcription factors (TFs) to discrete sequences in gene promoters and enhancers is crucial to the process by which genetic information is transferred to biological functions. TF structural analysis is the key to understanding their DNA-binding mode and for the design of specific inhibitors. In this context, the present PhD project focuses on two TFs: (1) NFIX, a TF with unknown structure that binds to the palindromic motif TTGGC(n5)GCCAA and plays an essential role in skeletal muscle development; and (2) NF-Y, a histone-like TF that binds the CCAAT box in promoters of cell cycle g

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37

Saxena, Vishal. "Interval finite element analysis for load pattern and load combination." Thesis, Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180207/unrestricted/saxena%5Fvishal%5F200312%5Fms.pdf.

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38

"Evolutionary factor analysis." Université catholique de Louvain, 2009. http://edoc.bib.ucl.ac.be:81/ETD-db/collection/available/BelnUcetd-02032009-123244/.

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39

Lai, Shu-Hui, and 賴淑慧. "Generalized Factor Analysis." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/28707984679276199196.

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博士<br>國立臺灣大學<br>流行病學研究所<br>88<br>Factor analysis (FA) has been used widely in various areas of sciences to explore or examine the latent measurement structure from a set of observed indicator variables. Both the observed and the latent variables are usually assumed to be continuous and, at least, symmetrically distributed. In the past 30 years or so, several methods had been proposed to extend the FA method for categorical observed indicator variables and/or latent variables, which include latent structure analysis, latent profile analysis, latent class analysis, latent trait analysis, and f

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40

Chen, Ke-Chin, and 陳可芹. "Factor Analysis II." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/09894515994453335121.

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碩士<br>國立臺灣大學<br>流行病學研究所<br>87<br>In this study we considered the effects of exogenous variables on a factor analysis model first, and then modified the standard factor analysis method (called the "Factor Analysis I") to adjust for the covariates' effects. Factor analysis is one of the most popular statistical methods for discovering or examining the latent measurement structure. It extracts the information from the correlations between the observed indicator variables to identify the latent variables of interest. For example, one may be interested in studying students' intelligence through

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41

Gaucher, Beverly Jane. "Factor Analysis for Skewed Data and Skew-Normal Maximum Likelihood Factor Analysis." Thesis, 2013. http://hdl.handle.net/1969.1/149548.

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This research explores factor analysis applied to data from skewed distributions for the general skew model, the selection-elliptical model, the selection-normal model, the skew-elliptical model and the skew-normal model for finite sample sizes. In terms of asymptotics, or large sample sizes, quasi-maximum likelihood methods are broached numerically. The skewed models are formed using selection distribution theory, which is based on Rao’s weighted distribution theory. The models assume the observed variable of the factor model is from a skewed distribution by defining the distribution of the u

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42

Pietersen, Jacobus Johannes. "Bilevel factor analysis models." Thesis, 2000. http://hdl.handle.net/2263/30460.

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The theory of ordinary factor analysis and its application by means of software packages do not make provision for data sampled from populations with hierarchical structures. Since data are often obtained from such populations - educational data for example ¬the lack of procedures to analyse data of this kind needs to be addressed. A review of the ordinary factor analysis model and maximum likelihood estimation of the parameters in exploratory and confirmatory models is provided, together with practical applications. Subsequently, the concept of hierarchically structured populations and their

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43

Hsieh, Pi Hsia, and 謝碧霞. "Children burns factor analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/70676177249674010176.

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"Estimation of factor scores in a three-level confirmatory factor analysis model." 1998. http://library.cuhk.edu.hk/record=b5889599.

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by Yuen Wai-ying.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1998.<br>Includes bibliographical references (leaves 50-51).<br>Abstract also in Chinese.<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter Chapter 2 --- Estimation of Factor Scores in a Three-level Factor Analysis Model<br>Chapter 2.1 --- The Three-level Factor Analysis Model --- p.5<br>Chapter 2.2 --- Estimation of Factor Scores in Between-group --- p.7<br>Chapter 2.2.1 --- REG Method --- p.9<br>Chapter 2.2.2 --- GLS Method --- p.11<br>Chapter 2.3 --- Estimation of Factor Scores in Second Level Within-group -

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Lin, Hui-Chu, and 林惠珠. "Stratified Data in Factor Analysis." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/39878436022507385287.

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碩士<br>國立陽明大學<br>公共衛生研究所<br>92<br>Abstract Factor Analysis is one method of exploring the data structure. The main point is to classify correlated variables to reduce the dimension of data. Based on covariance matrix, factor analysis extracts common factors and remains most of variance through matrix algebra. In practice, stratified data can reduce the additional variance due to the extra variable. In modeling, Conditional logistic regression model, and Stratified PH model are available for stratified data. Factor analysis for stratified data is somehow complicated and not available in soft

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Kuo, Ching-Yi, and 郭靜宜. "Factor Analysis in Data Mining." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/15758716436758148363.

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碩士<br>國立清華大學<br>工業工程與工程管理學系<br>88<br>In this study, we proposed a method of factor analysis for a huge database so that not only the independence among the factors can be considered, but also the levels of their importance can be measured. To keep the independence between factors, a statistical correlation analysis and the concept of fuzzy set theory are employed, and to measure the importance of factors a neural-based model is developed. A fuzzy set ‘factors are almost dependent’ is used to measure the degree of dependence between factors, and then a hierarchical clustering method is adopted

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47

Chiou, Mu-Lin, and 邱木霖. "Purchasing Factor Analysis on Smartphones." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/84454604889453842395.

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碩士<br>義守大學<br>管理碩博士班<br>102<br>The fast global uptake of smartphones has completely changed the way we communicate and use the internet. The latest research, from the IDC survey company in 2013, showed that the smartphone has become the mainstream products on the mobile phone market. The major mobile phone brand manufacturers will put into the market one and another because of the rise of the low-cost, high -quality mobile phone. How to win the trust of the customer will be an important issue in such a competitive market. What is the demand and consideration when consumers choosing from smartp

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48

Hsieh, Tsung yi, and 謝宗益. "Stock Market Seasonality in Taiwan:Empirical Analysis of Conglomerate Factor,Scale Factor and Industry Factor." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/94388654329381396603.

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Xie, Zong-Yi, and 謝宗益. "Stock Market Seasonality in Taiwan:Empirical Analysis of Conglomerate Factor,Scale Factor and Industry Factor." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/52819123302673400334.

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Wu, Pal-Hsuan, and 吳柏璇. "The skew-t factor analysis model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/a39dwt.

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碩士<br>國立中興大學<br>統計學研究所<br>101<br>Factor analysis(FA) is a classical data reduction technique that seeks a potentially lower number of unobserved variables accounting for most correlation among the observed variables. This thesis presents an extension of the FA model by assuming jointly a restricted version of multivariate skew t distribution for the latent factors and unobservable errors, called the skew-t FA model. The proposed model shows robustness to violations of normality assumptions of the underlying latent factors and provides flexibility in capturing extra skewness as well as heavier

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