Statistical Analysis of Management Data [electronic resource] /
Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.
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Format: | Texto biblioteca |
Language: | eng |
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Boston, MA : Springer US,
2003
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Subjects: | Business., Marketing., Management., Statistics., Business and Management., Statistics for Business/Economics/Mathematical Finance/Insurance., |
Online Access: | http://dx.doi.org/10.1007/b101868 |
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KOHA-OAI-TEST:2024082018-07-30T23:30:15ZStatistical Analysis of Management Data [electronic resource] / Gatignon, Hubert. author. SpringerLink (Online service) textBoston, MA : Springer US,2003.engStatistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.Multivariate Normal Distribution -- Measurement Theory: Reliability and Factor Analysis -- Multiple Regression with a Single Dependent Variable -- System of Equations -- Categorical Dependent Variables -- Rank Ordered Data -- Error in Variables — Analysis of Covariance Structure -- Analysis of Similarity and Preference Data.Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts.Business.Marketing.Management.Statistics.Business and Management.Management.Marketing.Statistics for Business/Economics/Mathematical Finance/Insurance.Springer eBookshttp://dx.doi.org/10.1007/b101868URN:ISBN:9780306481659 |
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Business. Marketing. Management. Statistics. Business and Management. Management. Marketing. Statistics for Business/Economics/Mathematical Finance/Insurance. Business. Marketing. Management. Statistics. Business and Management. Management. Marketing. Statistics for Business/Economics/Mathematical Finance/Insurance. |
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Business. Marketing. Management. Statistics. Business and Management. Management. Marketing. Statistics for Business/Economics/Mathematical Finance/Insurance. Business. Marketing. Management. Statistics. Business and Management. Management. Marketing. Statistics for Business/Economics/Mathematical Finance/Insurance. Gatignon, Hubert. author. SpringerLink (Online service) Statistical Analysis of Management Data [electronic resource] / |
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Statistical Analysis of Management Data is especially designed to provide doctoral students with a theoretical knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. The content herein addresses both the underlying mathematics and problems of application. As such, a reasonable level of competence in both statistics and mathematics is needed. This book is not intended as a first introduction to statistics and statistical analysis. Instead it assumes that the student is familiar with basic statistical techniques. The techniques are presented in a fundamental way but in a format accessible to students in a doctoral program, to practicing academicians, and to data analysts. |
format |
Texto |
topic_facet |
Business. Marketing. Management. Statistics. Business and Management. Management. Marketing. Statistics for Business/Economics/Mathematical Finance/Insurance. |
author |
Gatignon, Hubert. author. SpringerLink (Online service) |
author_facet |
Gatignon, Hubert. author. SpringerLink (Online service) |
author_sort |
Gatignon, Hubert. author. |
title |
Statistical Analysis of Management Data [electronic resource] / |
title_short |
Statistical Analysis of Management Data [electronic resource] / |
title_full |
Statistical Analysis of Management Data [electronic resource] / |
title_fullStr |
Statistical Analysis of Management Data [electronic resource] / |
title_full_unstemmed |
Statistical Analysis of Management Data [electronic resource] / |
title_sort |
statistical analysis of management data [electronic resource] / |
publisher |
Boston, MA : Springer US, |
publishDate |
2003 |
url |
http://dx.doi.org/10.1007/b101868 |
work_keys_str_mv |
AT gatignonhubertauthor statisticalanalysisofmanagementdataelectronicresource AT springerlinkonlineservice statisticalanalysisofmanagementdataelectronicresource |
_version_ |
1756267696832380928 |