Statistical Analysis of Management 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 un...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Gatignon, Hubert (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2003.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9780306481659  |9 978-0-306-48165-9 
024 7 |a 10.1007/b101868  |2 doi 
040 |d GrThAP 
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072 7 |a BUS041000  |2 bisacsh 
082 0 4 |a 658  |2 23 
100 1 |a Gatignon, Hubert.  |e author. 
245 1 0 |a Statistical Analysis of Management Data  |h [electronic resource] /  |c by Hubert Gatignon. 
264 1 |a Boston, MA :  |b Springer US,  |c 2003. 
300 |a XIII, 335 p. 4 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Business. 
650 0 |a Marketing. 
650 0 |a Management. 
650 0 |a Statistics. 
650 1 4 |a Business and Management. 
650 2 4 |a Management. 
650 2 4 |a Marketing. 
650 2 4 |a Statistics for Business/Economics/Mathematical Finance/Insurance. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781402073151 
856 4 0 |u http://dx.doi.org/10.1007/b101868  |z Full Text via HEAL-Link 
912 |a ZDB-2-SBE 
912 |a ZDB-2-BAE 
950 |a Business and Economics (Springer-11643)