Applied Multivariate Analysis:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1988
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intellect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathematicians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the "scientist" rather than the "mathematician" role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions |
Beschreibung: | 1 Online-Ressource (XIX, 508p. 37 illus) |
ISBN: | 9781461387404 9781461387428 |
DOI: | 10.1007/978-1-4613-8740-4 |
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500 | |a Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intellect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathematicians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the "scientist" rather than the "mathematician" role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions | ||
650 | 4 | |a Statistics | |
650 | 4 | |a Economics / Statistics | |
650 | 4 | |a Statistics for Business/Economics/Mathematical Finance/Insurance | |
650 | 4 | |a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | |
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Datensatz im Suchindex
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any_adam_object | |
author | Bernstein, Ira H. |
author_facet | Bernstein, Ira H. |
author_role | aut |
author_sort | Bernstein, Ira H. |
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dewey-ones | 330 - Economics |
dewey-raw | 330.015195 |
dewey-search | 330.015195 |
dewey-sort | 3330.015195 |
dewey-tens | 330 - Economics |
discipline | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-1-4613-8740-4 |
format | Electronic eBook |
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language | English |
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spelling | Bernstein, Ira H. Verfasser aut Applied Multivariate Analysis by Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng New York, NY Springer New York 1988 1 Online-Ressource (XIX, 508p. 37 illus) txt rdacontent c rdamedia cr rdacarrier Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intellect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to "concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. " I find the distinction between individuals who are temperamentally "mathematicians" (whom philosophy students might call "Platonists") and "scientists" ("Aristotelians") useful as long as it is not pushed to the point where one assumes "mathematicians" completely disdain data and "scientists" are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the "scientist" rather than the "mathematician" role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions Statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Multivariate Analyse (DE-588)4040708-1 s 2\p DE-604 Garbin, Calvin P. Sonstige oth Teng, Gary K. Sonstige oth https://doi.org/10.1007/978-1-4613-8740-4 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bernstein, Ira H. Applied Multivariate Analysis Statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd |
subject_GND | (DE-588)4040708-1 (DE-588)4151278-9 |
title | Applied Multivariate Analysis |
title_auth | Applied Multivariate Analysis |
title_exact_search | Applied Multivariate Analysis |
title_full | Applied Multivariate Analysis by Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng |
title_fullStr | Applied Multivariate Analysis by Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng |
title_full_unstemmed | Applied Multivariate Analysis by Ira H. Bernstein, Calvin P. Garbin, Gary K. Teng |
title_short | Applied Multivariate Analysis |
title_sort | applied multivariate analysis |
topic | Statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Multivariate Analyse (DE-588)4040708-1 gnd |
topic_facet | Statistics Economics / Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Statistik Wirtschaft Multivariate Analyse Einführung |
url | https://doi.org/10.1007/978-1-4613-8740-4 |
work_keys_str_mv | AT bernsteinirah appliedmultivariateanalysis AT garbincalvinp appliedmultivariateanalysis AT tenggaryk appliedmultivariateanalysis |