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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Main Authors: Gatignon, Hubert. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US, 2003
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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spelling 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
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic 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.
spellingShingle 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] /
description 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
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