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18,875
Discrete Multivariate Analysis: Theory and Practice
, 1975
"... the collaboration of Richard J. Light and Frederick Mosteller. ..."
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Cited by 836 (47 self)
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the collaboration of Richard J. Light and Frederick Mosteller.
A new method for nonparametric multivariate analysis of variance in ecology.
 Austral Ecology,
, 2001
"... Abstract Hypothesistesting methods for multivariate data are needed to make rigorous probability statements about the effects of factors and their interactions in experiments. Analysis of variance is particularly powerful for the analysis of univariate data. The traditional multivariate analogues, ..."
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Cited by 368 (4 self)
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Abstract Hypothesistesting methods for multivariate data are needed to make rigorous probability statements about the effects of factors and their interactions in experiments. Analysis of variance is particularly powerful for the analysis of univariate data. The traditional multivariate analogues
Multivariate Analysis
"... This paper analyzed variables that used to measure job and work attitude of an employee in an organization. Analysis was done using multivariate analysis. Data used was collected from Dodoma and Musoma municipalities as the municipalities were randomly selected. A sample size of the study was 118. C ..."
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This paper analyzed variables that used to measure job and work attitude of an employee in an organization. Analysis was done using multivariate analysis. Data used was collected from Dodoma and Musoma municipalities as the municipalities were randomly selected. A sample size of the study was 118
Multivariable Feedback Control: Analysis
 span (B∗) und Basis B∗ = { ω1
, 2005
"... multiinput, multioutput feedback control design for linear systems using the paradigms, theory, and tools of robust control that have arisen during the past two decades. The book is aimed at graduate students and practicing engineers who have a basic knowledge of classical control design and st ..."
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Cited by 564 (24 self)
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multiinput, multioutput feedback control design for linear systems using the paradigms, theory, and tools of robust control that have arisen during the past two decades. The book is aimed at graduate students and practicing engineers who have a basic knowledge of classical control design and statespace control theory for linear systems. A basic knowledge of matrix theory and linear algebra is required to appreciate and digest the material offered. This edition is a revised and expanded version of the first edition, which was published in 1996. The size of the
Some methods for classification and analysis of multivariate observations
 In 5th Berkeley Symposium on Mathematical Statistics and Probability
, 1967
"... The main purpose of this paper is to describe a process for partitioning an Ndimensional population into k sets on the basis of a sample. The process, which is called 'kmeans, ' appears to give partitions which are reasonably ..."
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Cited by 3055 (3 self)
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The main purpose of this paper is to describe a process for partitioning an Ndimensional population into k sets on the basis of a sample. The process, which is called 'kmeans, ' appears to give partitions which are reasonably
Multivariable Analysis
, 1984
"... Questions investigated in this study deal with relationships between map problem difficulty and students ' acquired level of intellectual development, the effects of sequential mastery of map concepts, and the optimum age to introduce certain map concepts in the geography curriculum. In the mai ..."
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Cited by 7 (4 self)
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Questions investigated in this study deal with relationships between map problem difficulty and students ' acquired level of intellectual development, the effects of sequential mastery of map concepts, and the optimum age to introduce certain map concepts in the geography curriculum. In the main investigation, which covered varied selected, representative schools in the London, Nottingham * and Gloucester areas, boys and girls ages 8 to 15 yeaLs were tested in two groups. Group A were given the shorter test's comprised of six scale questions and six composite questions, and B were given the ufull test0 comprised of composite questions on each of several maps. Among the suggestive results are: 1) eight year olds can understand conventional signs and direction questions; 2) the visualizing of relief from contour lines, the use of grid reference systems, and teaching of the location of individual buildings can be introduced at the age of about nine or ten; 3) more difficult problems such as understanding of scale, require the pupil to be 11 plus. Students need to be fourteen or older to interpret physical features and to discuss settlement problems. mno
Multivariate Analysis.
 In
, 1972
"... This article provides a (nonexhaustive) catalog in order to help decide when to use a given statistical technique for a given type of data or statistical question and gives a brief description of each technique. This paper is organized according to the number of data sets to analyze: one or two (or ..."
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Cited by 2 (0 self)
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This article provides a (nonexhaustive) catalog in order to help decide when to use a given statistical technique for a given type of data or statistical question and gives a brief description of each technique. This paper is organized according to the number of data sets to analyze: one or two (or more). With two data sets we consider two cases: in the first case, one set of data plays the role of predictors (or independent) variables (IV's) and the second set of data corresponds to measurements or dependent variables (DV's); in the second case, the di#erent sets of data correspond to di#erent sets of DV's
Multivariate analysis
, 2014
"... All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately. ..."
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All intext references underlined in blue are linked to publications on ResearchGate, letting you access and read them immediately.
ModelBased Clustering, Discriminant Analysis, and Density Estimation
 JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
, 2000
"... Cluster analysis is the automated search for groups of related observations in a data set. Most clustering done in practice is based largely on heuristic but intuitively reasonable procedures and most clustering methods available in commercial software are also of this type. However, there is little ..."
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Cited by 573 (29 self)
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for modelbased clustering that provides a principled statistical approach to these issues. We also show that this can be useful for other problems in multivariate analysis, such as discriminant analysis and multivariate density estimation. We give examples from medical diagnosis, mineeld detection, cluster
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