Relevant bibliographies by topics / Multivariate analysis of variance MANOVA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multivariate analysis of variance MANOVA'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Multivariate analysis of variance MANOVA.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Multivariate analysis of variance MANOVA"

1

St»hle, Lars, and Svante Wold. "Multivariate analysis of variance (MANOVA)." Chemometrics and Intelligent Laboratory Systems 9, no. 2 (September 1990): 127–41. http://dx.doi.org/10.1016/0169-7439(90)80094-m.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sutrisno, Sutrisno, and Dewi Wulandari. "Multivariate Analysis of Variance (MANOVA) untuk Memperkaya Hasil Penelitian Pendidikan." AKSIOMA : Jurnal Matematika dan Pendidikan Matematika 9, no. 1 (July 30, 2018): 37. http://dx.doi.org/10.26877/aks.v9i1.2472.

Full text
Abstract:
MANOVA merupakan solusi teknik analisis data kuantitatif bagi peneliti di dunia pendidikan yang ingin mengamati hasil belajar peserta didik dalam rangka menerapkan prinsip kebulatan dalam Kurikulum 2013 (prinsip evaluasi hasil belajar meliputi aspek kognitif, afektif, dan psikomotor). MANOVA mampu mengungkapkan perbedaan yang tidak ditampilkan ANOVA secara terpisah, sehingga dapat meningkatkan kesempatan untuk menemukan perubahan sebagai akibat dari perlakuan yang berbeda dan interaksinya. Dengan demikian, temuan hasil penelitian akan semakin kaya dan sangat berguna bagi perkembangan ilmu pengetahuan. Terdapat dua model analisis variansi yaitu model overparameterized dan model rerata sel. Model rerata sel memberikan pendekatan sederhana dan tidak ambigu, yang dapat digunakan pada data seimbang atau data tidak seimbang. Model ini menggunakan kontras untuk menyatakan efek utama dan interaksi. Uji persyaratan MANOVA meliputi uji normalitas multivariat dengan uji Mardia dan uji homogenitas matriks kovariansi dengan uji Box’s M. Terdapat beberapa statistik uji MANOVA yaitu Wilks’ Lambda, Pillai, Lawley-Hotelling, dan Roy’s Largest Root. Ketika hipotesis nol MANOVA ditolak, maka dilanjutkan ANOVA pada setiap variabel terikat. Apabila hipotesis nol ANOVA ditolak dan variabel bebas memiliki lebih dari dua nilai, maka dilakukan uji post hoc dengan metode Scheffe’. Prosedur ini menjaga taraf kesalahan α. Uji komparasi rerata antar sel tidak dapat dilakukan secara langsung menggunakan General Linear Model (GLM) pada SPSS. Prosedur yang dapat dilakukan adalah memanipulasi data dengan merubah kondisi eksperimentasi menjadi nilai-nilai yang dianggap satu variabel bebas, sehingga dapat dianalisis dengan One-Way ANOVA atau GLM. Kesulitan analisis multivariat pada perhitungannya yang terlalu rumit, sudah terpecahkan dengan adanya software statistik yang semakin canggih.Kata kunci: MANOVA, analisis multivariat, memperkaya hasil, penelitian pendidikan
APA, Harvard, Vancouver, ISO, and other styles
3

Grice, James W., and Michiko Iwasaki. "A Truly Multivariate Approach to Manova." Applied Multivariate Research 12, no. 3 (January 13, 2009): 199. http://dx.doi.org/10.22329/amr.v12i3.660.

Full text
Abstract:
All too often researchers perform a Multivariate Analysis of Variance (MANOVA) on their data and then fail to fully recognize the true multivariate nature of their effects. The most common error is to follow the MANOVA with univariate analyses of the dependent variables. One reason for the occurrence of such errors is the lack of clear pedagogical materials for identifying and testing the multivariate effects from the analysis. The current paper consequently reviews the fundamental differences between MANOVA and univariate Analysis of Variance and then presents a coherent set of methods for plumbing the multivariate nature of a given data set. A completely worked example using genuine data is given along with estimates of effect sizes and confidence intervals, and an example results section following the technical writing style of the American Psychological Association is presented. A number of issues regarding the current methods are also discussed.
APA, Harvard, Vancouver, ISO, and other styles
4

Mathew, Thomas. "MANOVA in the multivariate components of variance model." Journal of Multivariate Analysis 29, no. 1 (April 1989): 30–38. http://dx.doi.org/10.1016/0047-259x(89)90074-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

S, Varakumari, Dr PVRD Prasad RaoDr, M. Sirisha, and Dr K.R.R.Mohan Rao. "MANOVA- A Multivariate Statistical Variance Analysis for WSN Using PCA." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 779. http://dx.doi.org/10.14419/ijet.v7i2.7.10976.

Full text
Abstract:
Wireless sensor systems (WSN) have turned into a successful answer for an extensive variety of uses. Most customary WSN models comprise of static hubs that are thickly sent over a discovery region. The total administrations of a characteristic part in the Wireless Sensor Networks (WSN) area since they fundamentally diminish the measure of information transmissions required and increment the vitality proficiency in those systems. All current accumulation strategies have been created in light of scientific models or capacities, the WSN client won't approach the first perceptions. Through this report, we propose a calculation that enables the base station to admittance the discoveries by presenting a dispersed technique for calculating the Principle Components Analysis (PCA). The recommended calculation depends on the transmission workload of the middle hubs. At whatever point you utilize PCA, include approaching arrangement from a downstream customer in a bundle, and accordingly, a middle hub not just sends a parcel as opposed to retransmitting all parcels. Subsequently, we can accomplish a significant lessening in information communication. We have broken down the execution of the planned calculation concluded arithmetical reproductions. The trial comes about demonstrate that our calculation works superior to anything the conglomeration in view of last age PCA calculations, for example, PCAs regarding exactness and proficiency.
APA, Harvard, Vancouver, ISO, and other styles
6

Emerson, Robert Wall. "MANOVA (Multivariate Analysis of Variance): An Expanded Form of the ANOVA (Analysis of Variance)." Journal of Visual Impairment & Blindness 112, no. 1 (January 2018): 125–26. http://dx.doi.org/10.1177/0145482x1811200113.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Rahayu, Siti Aisyah Tri. "MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA) DALAM MOTIVASI WANITA BEKERJA (STUDIKASUS DIKOTA SURAKARTA)." Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan 3, no. 2 (January 1, 2007): 131. http://dx.doi.org/10.23917/jep.v3i2.3926.

Full text
Abstract:
The aims of this paper are: 1) To measures the differences between two dependent variables of woman's motivation on work is caused by economic and education factor; 2) To explain the interaction effect between independent variable age and culture to women's work motivation caused by economic and education factor.The empirical result of this research with MANOVA models are as follows. The impact of self-actualization, culture, husband's income, family's income on women determination of labor force participation has been very significant. Husband' income and culture have a significant negative effect on women determination of labor force participation. While self-actualization and family's income, have a significant positive effect on women determination of labor force participation.Based on the result, there are differences between independent variables (age and culture) vector mean to dependent variables (economic and education motivation)All multivariate tests indicate that the interaction effect is significant. Both Variables culture and education have a significant effect income variable at 0,05 significant level but not significant on education variables.One of the crucial policy implications of this paper is that we must enhance the government policy on that base on that result. Differences between male and female wages in the same working still exist now. Base on that reality, we must enhance the government policy to protection women's right on the economic activity and the equality in the human right both male and female worker.
APA, Harvard, Vancouver, ISO, and other styles
8

Steyn, H. S., and S. M. Ellis. "Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)." Multivariate Behavioral Research 44, no. 1 (February 10, 2009): 106–29. http://dx.doi.org/10.1080/00273170802620238.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Smith, Kendal N., Kristen N. Lamb, and Robin K. Henson. "Making Meaning out of MANOVA: The Need for Multivariate Post Hoc Testing in Gifted Education Research." Gifted Child Quarterly 64, no. 1 (December 16, 2019): 41–55. http://dx.doi.org/10.1177/0016986219890352.

Full text
Abstract:
Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 ( N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its application, including pervasive use of univariate post hoc tests to interpret MANOVA results. Accordingly, this article aims to make MANOVA more accessible to gifted education scholars by clarifying its purpose and introducing descriptive discriminant analysis as a more appropriate post hoc technique. A heuristic data set is used to demonstrate the procedures for running a descriptive discriminant analysis, both in place of a one-way MANOVA and as a post hoc analysis to a factorial design. SPSS and R syntax are provided.
APA, Harvard, Vancouver, ISO, and other styles
10

Everitt, B. S. "Analysis of longitudinal data." British Journal of Psychiatry 172, no. 1 (January 1998): 7–10. http://dx.doi.org/10.1192/bjp.172.1.7.

Full text
Abstract:
BackgroundLongitudinal data arise frequently in psychiatric investigations, and are most often analysed by multivariate analysis of variance (MANOVA) procedures. However, as routinely applied, the method is not satisfactory, particularly when the data are affected by subjects dropping-out of the study. More suitable methods are now available.MethodProblems with the MANOVA approach are discussed and the advantages of alternative procedures stressed.ResultsUsing MANOVA on complete cases to analyse unbalanced longitudinal data can be seriously misleading. More recently developed methods are far more suitable, but only if the missing values are non-informative.ConclusionsRoutine use of MANOVA for the analysis of longitudinal data, particularly when there is a substantial proportion of drop-outs, is ill advised. Statisticians have considerably enriched the available methodologies during the past decade, and psychiatric researchers dealing with such data should be aware of the advantages of the newer methods.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Multivariate analysis of variance MANOVA"

1

Rogers, Catherine Jane. "Power comparisons of four post-MANOVA tests under variance-covariance heterogeneity and non-normality in the two group case." Diss., Virginia Tech, 1994. http://hdl.handle.net/10919/40171.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Sartorio, Simone Daniela. "Aplicações de técnicas de análise multivariada em experimentos agropecuários usando o software R." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-06082008-172655/.

Full text
Abstract:
O uso das técnicas de análise multivariada está reservado aos grandes centros de pesquisa, µas grandes empresas e ao ambiente acad^emico. Essas técnicas s~ao muito interessantes porque utilizam simultaneamente todas as variáveis respostas na interpretação teórica do conjunto de dados, levando em conta as correlações existentes entre elas. Uma das principais barreiras para a utilização dessas técnicas é o seu desconhecimento pelos pesquisadores interessados na pesquisa quantitativa. A outra dificuldade é que a grande maioria de softwares que permitem esse tipo de análise (SAS, MINITAB, BMDP, STATISTICA, S-PLUS, SYSTAT, etc.) não são de domínio público. A disseminação do uso das técnicas multivariadas pode melhorar a qualidade das pesquisas, proporcionar uma economia relativa de tempo e de custo, e facilitar a interpretação das estruturas dos dados, diminuindo a perda de informação. Neste trabalho, foram confirmadas algumas vantagens das técnicas multivariadas sobre as univariadas na análise de dados de expe- rimentos agropecuários. As análises foram realizadas com o auxílio do software R, um software aberto, \"amigável\" e gratuito, com inúmeros recursos disponíveis.
The use of the techniques of multivariate analysis is restricted to large centers of research, the higher companies and the academic environment. These techniques are very inte- resting because of the use of all answers variables simultaneously in theoretical interpretation of the data set, considering the correlations between them. One of the main obstacle to the usage of these techniques is that researchers interested in the quantitative research do not know them. The other di±culty is that most of the software that allow this type of analysis (SAS, MINITAB, BMDP, STATISTICA, S-PLUS, SYSTAT etc.) are not in public domain. Publishing the use of Multivariate techniques can improve the quality of the research, decrease the time spend and the cost, and make easy the interpretation of the structures of the data without cause damage of the information. In this report, were con¯rmed some advantages of the multivariate techniques in a univariate analysis for data of agricultural experiments. The analysis were taken with R software, a open software, \"friendly\" and free, with many statistical resources available.
APA, Harvard, Vancouver, ISO, and other styles
3

Ao, Xiang. "The cross-cultural leader a comparative study of leadership behaviours in China and New Zealand : a thesis submitted to Auckland University of Technology in fulfillment of the requirements for the degree of Master of Philosophy, August 2008." Click here to access this resource online, 2008. http://hdl.handle.net/10292/444.

Full text
Abstract:
National cultures play a critical role in effective leadership and organisational success in international businesses. Contemporary organisations are therefore challenged by cross-cultural leadership needs to address increasing diversity. In the past decades, there has been a growing interest in studies of non-Western leadership. Recent papers have focused particularly on leadership in the Asia-Pacific region. This paper compares leadership in China and New Zealand, based on the data collected by using the GLOBE (Global Leadership and Organisational Behaviour Effectiveness) project leadership questionnaire. In addition, the paper reviews the main findings of previous research in order to investigate the similarities and differences in preferred leadership behaviours/characteristics in both cultures, while attempting to examine the consistency of current findings against the previous GLOBE studies. Significant differences of leadership behaviours between China and New Zealand have been identified. This paper generally supports the findings of previous GLOBE studies that charismatic/value-based leadership is the universally contributing factor towards outstanding leadership and self-protective leadership is the universally negative factor against leadership excellence. Findings in this paper may contribute to further understanding of leadership practice in these two countries. Future research should be undertaken to examine the effects of cultural differences on organisational practice by a more comprehensive research method.
APA, Harvard, Vancouver, ISO, and other styles
4

Basaran, Seren. "An Exploration Of Affective And Demographic Factors That Are Related To Mathematical Thinking And Reasoning Of University Students." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613422/index.pdf.

Full text
Abstract:
There are four major aims of this study: Firstly, factors regarding university students&rsquo
approaches to studying, self-efficacy in mathematics, problem solving strategies, demographic profile, mathematical thinking and reasoning competencies were identified through the adopted survey and the competency test which was designed by the researcher. These scales were administered to 431 undergraduate students of mathematics, elementary and secondary mathematics education in Ankara and in Northern Cyprus and to prospective teachers of classroom teacher and early childhood education of teacher training academy in Northern Cyprus. Secondly, three structural models were proposed to explore the interrelationships among idenitified factors. Thirdly, among three models, the model yielding best fit to data was selected to evaluate the equality of the factor structure across Ankara and Northern Cyprus regions. Lastly, differences regarding pre-identified factors with respect to gender, region and grade level separately and dual, triple interaction effects were investigated through two two-way MANOVA and a three-way ANOVA analyses. Exploratory and confirmatory factor analyses were employed to determine the factors
meaning orientation, mathematics self-efficacy, motivation, disorganized study methods and surface approach for the survey and &lsquo
expressing, extracting and computing mathematically&rsquo
(fundamental skills) and &lsquo
logical inferencing and evaluating conditional statements in real life situations&rsquo
(elaborate skills) for the test. The three models commonly revealed that while mathematics self-efficacy has a significant positive effect on both fundamental and elaborate skills, motivation which is a combination of intrinsic, extrinsic and achievement motivational items was found to have a negative direct impact on fundamental skills and has a negative indirect contribution upon elaborate skills. The results generally support the invariance of the tested factor structure across two regions with some evidence of differences. Ankara region sample yielded similar factor structure to that of the entire sample&rsquo
s results whereas
no significant relationships were observed for Northern Cyprus region sample. Results of gender, grade level and region related differences in the factors of the survey and the test and on the total test indicated that, females are more meaning oriented than males. &lsquo
Fourth and fifth (senior)&rsquo
and third year university students use disorganized study methods more often than second year undergraduate students. In addition, senior students are more competent than second and third year undergraduate students in terms of both skills. Freshmen students outscored sophomore students in the elaborate skills. Students from Ankara region are more competent in terms of both skills than students from Northern Cyprus region. This last inference is also valid on the total test score for both regions. Males performed better on the total test than females. Moreover, there exist region and grade level interaction effect upon both skills. Additionally, significant interaction effects of &lsquo
region and gender&rsquo
, &lsquo
region and grade level&rsquo
, &lsquo
gender and grade level&rsquo
and &lsquo
region and gender and grade level&rsquo
were detected upon the total test score.
APA, Harvard, Vancouver, ISO, and other styles
5

Nisa, Khoirin. "On multivariate dispersion analysis." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2025.

Full text
Abstract:
Cette thèse examine la dispersion multivariée des modelés normales stables Tweedie. Trois estimateurs de fonction variance généralisée sont discutés. Ensuite dans le cadre de la famille exponentielle naturelle deux caractérisations du modèle normal-Poisson, qui est un cas particulier de modèles normales stables Tweedie avec composante discrète, sont indiquées : d'abord par fonction variance et ensuite par fonction variance généralisée. Le dernier fournit la solution à un problème particulier d'équation de Monge-Ampère. Enfin, pour illustrer l'application de la variance généralisée des modèles Tweedie stables normales, des exemples à partir des données réelles sont fournis
This thesis examines the multivariate dispersion of normal stable Tweedie (NST) models. Three generalize variance estimators of some NST models are discussed. Then within the framework of natural exponential family, two characterizations of normal Poisson model, which is a special case of NST models with discrete component, are shown : first by variance function and then by generalized variance function. The latter provides a solution to a particular Monge-Ampere equation problem. Finally, to illustrate the application of generalized variance of normal stable Tweedie models, examples from real data are provided
APA, Harvard, Vancouver, ISO, and other styles
6

Prosser, Robert James. "Robustness of multivariate mixed model ANOVA." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25511.

Full text
Abstract:
In experimental or quasi-experimental studies in which a repeated measures design is used, it is common to obtain scores on several dependent variables on each measurement occasion. Multivariate mixed model (MMM) analysis of variance (Thomas, 1983) is a recently developed alternative to the MANOVA procedure (Bock, 1975; Timm, 1980) for testing multivariate hypotheses concerning effects of a repeated factor (called occasions in this study) and interaction between repeated and non-repeated factors (termed group-by-occasion interaction here). If a condition derived by Thomas (1983), multivariate multi-sample sphericity (MMS), regarding the equality and structure of orthonormalized population covariance matrices is satisfied (given multivariate normality and independence for distributions of subjects' scores), valid likelihood-ratio MMM tests of group-by-occasion interaction and occasions hypotheses are possible. To date, no information has been available concerning actual (empirical) levels of significance of such tests when the MMS condition is violated. This study was conducted to begin to provide such information. Departure from the MMS condition can be classified into three types— termed departures of types A, B, and C respectively: (A) the covariance matrix for population ℊ (ℊ = 1,...G), when orthonormalized, has an equal-diagonal-block form but the resulting matrix for population ℊ is unequal to the resulting matrix for population ℊ' (ℊ ≠ ℊ'); (B) the G populations' orthonormalized covariance matrices are equal, but the matrix common to the populations does not have equal-diagonal-block structure; or (C) one or more populations has an orthonormalized covariance matrix which does not have equal-diagonal-block structure and two or more populations have unequal orthonormalized matrices. In this study, Monte Carlo procedures were used to examine the effect of each type of violation in turn on the Type I error rates of multivariate mixed model tests of group-by-occasion interaction and occasions null hypotheses. For each form of violation, experiments modelling several levels of severity were simulated. In these experiments: (a) the number of measured variables was two; (b) the number of measurement occasions was three; (c) the number of populations sampled was two or three; (d) the ratio of average sample size to number of measured variables was six or 12; and (e) the sample size ratios were 1:1 and 1:2 when G was two, and 1:1:1 and 1:1:2 when G was three. In experiments modelling violations of types A and C, the effects of negative and positive sampling were studied. When type A violations were modelled and samples were equal in size, actual Type I error rates did not differ significantly from nominal levels for tests of either hypothesis except under the most severe level of violation. In type A experiments using unequal groups in which the largest sample was drawn from the population whose orthogonalized covariance matrix has the smallest determinant (negative sampling), actual Type I error rates were significantly higher than nominal rates for tests of both hypotheses and for all levels of violation. In contrast, empirical levels of significance were significantly lower than nominal rates in type A experiments in which the largest sample was drawn from the population whose orthonormalized covariance matrix had the largest determinant (positive sampling). Tests of both hypotheses tended to be liberal in experiments which modelled type B violations. No strong relationships were observed between actual Type I error rates and any of: severity of violation, number of groups, ratio of average sample size to number of variables, and relative sizes of samples. In equal-groups experiments modelling type C violations in which the orthonormalized pooled covariance matrix departed at the more severe level from equal-diagonal-block form, actual Type I error rates for tests of both hypotheses tended to be liberal. Findings were more complex under the less severe level of structural departure. Empirical significance levels did not vary with the degree of interpopulation heterogeneity of orthonormalized covariance matrices. In type C experiments modelling negative sampling, tests of both hypotheses tended to be liberal. Degree of structural departure did not appear to influence actual Type I error rates but degree of interpopulation heterogeneity did. Actual Type I error rates in type C experiments modelling positive sampling were apparently related to the number of groups. When two populations were sampled, both tests tended to be conservative, while for three groups, the results were more complex. In general, under all types of violation the ratio of average group size to number of variables did not greatly affect actual Type I error rates. The report concludes with suggestions for practitioners considering use of the MMM procedure based upon the findings and recommends four avenues for future research on Type I error robustness of MMM analysis of variance. The matrix pool and computer programs used in the simulations are included in appendices.
Education, Faculty of
Educational and Counselling Psychology, and Special Education (ECPS), Department of
Graduate
APA, Harvard, Vancouver, ISO, and other styles
7

Kong, Xiaoli. "High Dimensional Multivariate Inference Under General Conditions." UKnowledge, 2018. https://uknowledge.uky.edu/statistics_etds/33.

Full text
Abstract:
In this dissertation, we investigate four distinct and interrelated problems for high-dimensional inference of mean vectors in multi-groups. The first problem concerned is the profile analysis of high dimensional repeated measures. We introduce new test statistics and derive its asymptotic distribution under normality for equal as well as unequal covariance cases. Our derivations of the asymptotic distributions mimic that of Central Limit Theorem with some important peculiarities addressed with sufficient rigor. We also derive consistent and unbiased estimators of the asymptotic variances for equal and unequal covariance cases respectively. The second problem considered is the accurate inference for high-dimensional repeated measures in factorial designs as well as any comparisons among the cell means. We derive asymptotic expansion for the null distributions and the quantiles of a suitable test statistic under normality. We also derive the estimator of parameters contained in the approximate distribution with second-order consistency. The most important contribution is high accuracy of the methods, in the sense that p-values are accurate up to the second order in sample size as well as in dimension. The third problem pertains to the high-dimensional inference under non-normality. We relax the commonly imposed dependence conditions which has become a standard assumption in high dimensional inference. With the relaxed conditions, the scope of applicability of the results broadens. The fourth problem investigated pertains to a fully nonparametric rank-based comparison of high-dimensional populations. To develop the theory in this context, we prove a novel result for studying the asymptotic behavior of quadratic forms in ranks. The simulation studies provide evidence that our methods perform reasonably well in the high-dimensional situation. Real data from Electroencephalograph (EEG) study of alcoholic and control subjects is analyzed to illustrate the application of the results.
APA, Harvard, Vancouver, ISO, and other styles
8

Yockey, Ron David. "An investigation of the type I error rates and power of standard and alternative multivariate tests on means under homogeneous and heterogeneous covariance matrices and multivariate normality and nonnormality /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p9992945.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nqabeni, Luxolo. "Development of an antiretroviral solid dosage form using multivariate analysis." Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/705.

Full text
Abstract:
The aim of pharmaceutical development is to design a quality product and the manufacturing process to deliver the product in a reproducible manner. The development of a new and generic formulation is based on a large number of experiments. Statistics provides many tools for studying the conditions of formulations and processes and enables us to optimize the same while being able to minimize our experimentation. The purpose of this study was to apply experimental design methodology (DOE) and multivariate analysis to the development and optimization of tablet formulations containing 150 mg lamivudine manufactured by direct compression.
APA, Harvard, Vancouver, ISO, and other styles
10

Wardak, Mohammad Alif. "Survival analysis." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2810.

Full text
Abstract:
Survival analysis pertains to a statistical approach designed to take into account the amount of time an experimental unit contributes to a study. A Mayo Clinic study of 418 Primary Biliary Cirrhosis patients during a ten year period was used. The Kaplan-Meier Estimator, a non-parametric statistic, and the Cox Proportional Hazard methods were the tools applied. Kaplan-Meier results include total values/censored values.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Multivariate analysis of variance MANOVA"

1

Stephen, Olejnik, and Huberty Carl J. 1934-, eds. Applied MANOVA and discriminant analysis. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2006.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

E, Maxwell Scott, ed. Multivariate analysis of variance. Beverly Hills: Sage Publications, 1985.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bray, James, and Scott Maxwell. Multivariate Analysis of Variance. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1985. http://dx.doi.org/10.4135/9781412985222.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Srivastava, M. S. Generalized multivariate analysis of variance models. Toronto: University of Toronto, Dept. of Statistics, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Hand, D. J., and C. C. Taylor. Multivariate Analysis of Variance and Repeated Measures. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3143-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Helmut, Norpoth, ed. Analysis of variance. 2nd ed. Newbury Park: Sage Publications, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bernstein, Ira H. Applied multivariate analysis. New York: Springer-Verlag, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Bernstein, Ira H. Applied multivariate analysis. New York: Springer-Verlag, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Pynnönen, Seppo. Testing for additional information in variables in multivariate normal classification with unequal covariance matrices. Vaasa: Universitas Wasaensis, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

1949-, Dunn G., and Everitt Brian, eds. Applied multivariate data analysis. London: E. Arnold, 1991.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Multivariate analysis of variance MANOVA"

1

Tabachnick, Barbara G., and Linda S. Fidell. "Multivariate Analysis of Variance (MANOVA)." In International Encyclopedia of Statistical Science, 902–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_394.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Malek, Moh H., Jared W. Coburn, and William D. Marelich. "Multivariate analysis of variance (MANOVA)." In Advanced Statistics for Kinesiology and Exercise Science, 119–33. Milton Park, Abingdon : New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315231273-12.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Olive, David J. "MANOVA." In Robust Multivariate Analysis, 291–310. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68253-2_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Fujikoshi, Yasunori, and Vladimir V. Ulyanov. "MANOVA Test Statistics." In Non-Asymptotic Analysis of Approximations for Multivariate Statistics, 23–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-2616-5_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. "Classification Methods—Part 3. Inferential Considerations in the MANOVA." In Applied Multivariate Analysis, 315–44. New York, NY: Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8740-4_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Franzen, Michael. "Multivariate Analysis of Variance." In Encyclopedia of Clinical Neuropsychology, 2304–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1869.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hand, David, and Martin Crowder. "Multivariate analysis of variance." In Practical Longitudinal Data Analysis, 15–38. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-3033-0_2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Pituch, Keenan A., and Wanchen Chang. "Multivariate Analysis of Variance." In The Reviewer’s Guide to Quantitative Methods in the Social Sciences, 348–61. Second Edition. | New York : Routledge, 2019. | Revised edition of The reviewer’s guide to quantitative methods in the social sciences, 2010.: Routledge, 2018. http://dx.doi.org/10.4324/9781315755649-25.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Maroof, David Aaron. "Multivariate Analysis of Variance." In Statistical Methods in Neuropsychology, 77–86. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-3417-7_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Tatsuoka, Maurice M. "Multivariate Analysis of Variance." In Handbook of Multivariate Experimental Psychology, 399–419. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0893-5_12.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Multivariate analysis of variance MANOVA"

1

Esmaeeli, Roja, Haniph Aliniagerdroudbari, Seyed Reza Hashemi, Hammad Al-Shammari, Muapper Alhadri, and Siamak Farhad. "Univariate and Multivariate Gauge Repeatability and Reproducibility Analysis on the High Frequency Dynamic Mechanical Analysis (DMA) Measurement System." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10986.

Full text
Abstract:
Abstract The quality of the collected data from a measurement system affects eventual decision making process. Therefore, the reliability of any measurement system is an important factor to be studied. Gauge repeatability and reproducibility (Gauge R&R) is the standard method to evaluate the measurement system and assess the adequacy of variation in the measurement data. Gauge R&R is a statistical tool which evaluates two main characteristics of the measurement system: repeatability and reproducibility. The Dynamic Mechanical Analysis (DMA) is a common measurement system for studying the dynamic mechanical properties of viscoelastic materials such as polymers. The newly developed High Frequency Dynamic Mechanical Analysis (HFDMA) is able to directly run the simple shear test at high frequencies without changing the specimen temperature. The complex shear modulus and damping factor of the viscoelastic materials are reported by the HFDMA system. In this study the uni-variable Gauge R&R study based on Analysis of Variance (ANOVA) is done on each measured characteristic of the HFDMA measurement system. The source of variations for each characteristic is distinguished. Then the multivariate Gauge R&R based on the Multivariate Analysis of Variance (MANOVA) is done and the percentage of multivariate Gauge R&R for the measurement with the multiple variables is reported. The results indicate that the HFDMA measurements are both repeatable and reproducible. Thus, the new HFDMA can be used as a measurement system to measure the mechanical properties of viscoelastic materials at high frequencies.
APA, Harvard, Vancouver, ISO, and other styles
2

Thakur, Nikita, Andy Keane, and Prasanth B. Nair. "Probabilistic Analysis of Manufacturing Uncertainty in Turbine Blades." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86190.

Full text
Abstract:
An important part in the efficient and robust design of turbine blades is to capture the details of any manufacturing uncertainty. However, the data available detailing the manufacturing uncertainty inevitably contains variability due to inherent errors in any measurement process. The presented work proposes a methodology that employs existing probabilistic data analysis techniques, namely, Principal Component Analysis (PCA), Multivariate Analysis of Variance (MANOVA) and Fast Fourier Transform (FFT) analysis for separation of the measurement error from measurement data to obtain the underlying manufacturing uncertainty. This manufacturing uncertainty is further segregated in terms of the manufacturing uncertainty with time and the blade to blade manufacturing error. A method for dimensionality reduction is employed which utilizes prior information available on the variance of the measurement error for each measurement location. The application of the proposed methodology leads to reconstruction of new datasets that may be used for generating 3-d models of the manufactured blade shapes. These 3-d models may then be used further for Finite Element Analysis (FEA) in standard FEA tools.
APA, Harvard, Vancouver, ISO, and other styles
3

Akelaitis, Arturas. "Development Of Emotional Skills Among 15–16-Year-Old Adolescents In Physical Education Classes." In 12th International Conference on Kinanthropology. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9631-2020-24.

Full text
Abstract:
Background: The aim of this study was to investigate the effectiveness of the 16 weeks educational program of emotional skills in physical education classes on development of emotional skills among 15–16-year-old adolescents in physical education classes. Study hy-pothesis – the application of 16 weeks educational program would allow expecting more de-veloped emotional skills among 15–16-year-old adolescents in physical education classes. Subjects and methods: Participants in the study were 51 pupils of the ninth grade (15.15±0.36). Experimental group consisted of 25 and the control group of 26 adolescents. The measures of emotional skills were evaluated using Emotional Intelligence Questionnaire – Short Form (TEIQue – SF), Social Emotional School Readiness Scale (BUSSESR), and self-confidence methodology, developed by Stolin (Пантилеев, Столин, 1989). Educational experiment was used as a method to verify the eficiency of the educational program. Repeated measures (RM) multivariate analysis of variance (2 × 2 (Group × Time) MANOVA) was used in order to analyze the effects of the educational program. Results: After the 16-weeks educational program (structural physical education classes), a significant improvement was found in emotional skills scores for the experimental group compared with the control group, which had a statistically significant effects: adolescents in the experimental group had more developed self-awareness (F (1,49) = 5.86; p < .05; η 2 = .11), self-confidence (F (1,49) = 5.28; p < .05; η 2 = .10) skills, and the abilities to express emotions (F (1,49) = 5.95; p < .05; η 2 = .11) in physical education classes. These results indi-cated that the structural physical education classes had a positive influence on adolescents’ emotional skills. Conclusions: It was found that during the 16 weeks educational experiment the applied mea-sures of educational impact had a statistically significant effect on the components of exper-imental group 15–16-year-old adolescents’ self-awareness, self-confidence skills, and the abilities to express emotions in physical education classes.
APA, Harvard, Vancouver, ISO, and other styles
4

Lee, Agatha D., Natasha Lepore, Jan de Leeuw, Caroline C. Brun, Marina Barysheva, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, and Paul M. Thompson. "Multivariate variance-components analysis in DTI." In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2010. http://dx.doi.org/10.1109/isbi.2010.5490199.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Elantseva, I. L., and I. A. Poletaeva. "Program complex of multivariate analysis of variance." In 2008 9th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). IEEE, 2008. http://dx.doi.org/10.1109/apeie.2008.4897173.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Fernandez, Víctor, Juan Saborido, Victor Mendez, Ricardo GRACIANI DIAZ, Marcos Seco, and Pena Tomás. "Multivariate Analysis of Variance for High Energy Physics Software in Virtualized Environments." In International Symposium on Grids and Clouds 2015. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.239.0009.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Moitre, Diego, and Fernando Magnago. "Multivariate Analysis of Variance Applied to Competitive Electricity Markets: The Fixed Effects Model." In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.385917.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Abdullah, Nurul Ain Hazirah, Aishah Mohd Noor, Mohd Hafiz Fazalul Rahiman, and Khatijahhusna Abd Rani. "Multivariate analysis of variance followed by descriptive discriminant analysis: An analysis of the acoustic treatments effect on mung beans’ growth." In PROCEEDING OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2018 (ICoMEIA 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5054211.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Tóthová, Dominika. "A multivariate cross-national European regression analysis of Ecological Footprint." In XXIII. mezinárodní kolokvium o regionálních vědách / 23rd International Colloquium on Regional Sciences. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9610-2020-66.

Full text
Abstract:
This empirical study provides evidence of the most critical human´s activities on environmental degradation expressed by the Ecological Footprint indicator. The aim of this paper is to investigate the impacts of the selected data from statistics of economy and finance, land cover and use, population and social condition, tourism, agriculture, international trade, transport and environment and energy on the variance of the Ecological Footprint of consumption per capita in the countries of the European Union. Using the multivariate regression analysis, I examined the significant predictors of differences in the Ecological Footprint of consumption per capita. As the best explanatory regression coefficients of the model were estimated exports of goods and services in % of GDP, participation in tourism for personal purposes per capita and percentage share of renewable energy in gross final energy consumption.
APA, Harvard, Vancouver, ISO, and other styles
10

Azami, Hamed, Javier Escudero, and Alberto Fernandez. "Refined composite multivariate multiscale entropy based on variance for analysis of resting-state magnetoencephalograms in Alzheimer's disease." In 2016 International Conference for Students on Applied Engineering (ICSAE). IEEE, 2016. http://dx.doi.org/10.1109/icsae.2016.7810227.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Multivariate analysis of variance MANOVA"

1

Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dzhangarov, A. I. Multivariate analysis of variance analysis software. Engineering Herald of Don, 2019. http://dx.doi.org/10.18411/0236-8898-1123-2020.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Anderson, T. W., and Michael D. Perlman. Consistency of Invariants for the Multivariate Analysis of Variance. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada591103.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Multivariate analysis of variance MANOVA' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography