Formulas Useful for Linear Regression Analysis and Related Matrix Theory / SpringerBriefs in Statistics (PDF)
It's Only Formulas But We Like Them
(Sprache: Englisch)
This is an unusual book because it contains a great deal of formulas. Hence it is a blend of monograph, textbook, and handbook.
It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model...
It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model...
sofort als Download lieferbar
eBook (pdf)
53.49 €
26 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Formulas Useful for Linear Regression Analysis and Related Matrix Theory / SpringerBriefs in Statistics (PDF)“
This is an unusual book because it contains a great deal of formulas. Hence it is a blend of monograph, textbook, and handbook.
It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model and related matrix theory. This is not a regular textbook - this is supporting material for courses given in linear statistical models. Such courses are extremely common at universities with quantitative statistical analysis programs.
It is intended for students and researchers who need quick access to useful formulas appearing in the linear regression model and related matrix theory. This is not a regular textbook - this is supporting material for courses given in linear statistical models. Such courses are extremely common at universities with quantitative statistical analysis programs.
Autoren-Porträt von Simo Puntanen, George P. H. Styan, Jarkko Isotalo
Simo Puntanen earned his PhD in statistics from the University of Tampere (Tampere, Finland) in 1987, where he is now a Docent and Lecturer of Statistics. He has published over 110 research papers in matrix methods for statistics with particular emphasis on linear statistical models. He is currently the book review editor of the International Statistical Review. Jarkko Isotalo earned his PhD in statistics from the University of Tampere (Tampere, Finland) in 2007, where he is now a Lecturer of Statistics. His main research interests have been linear statistical models, matrix methods for statistics, and computational statistics. He is currently also doing applied research on statistical genetics. Puntanen, Styan, and Isotalo, knowing just what is expected of authors, would like to agree with P. G. Wodehouse and apologize for childhoods that were as normal as rice-pudding and lives that consisted of little more than sitting in front of the laptop and cursing a bit.
George P. H. Styan earned his PhD in mathematical statistics from Columbia University in 1969 and received an Honorary PhD from the University of Tampere in 2000. He is now Professor Emeritus of Mathematics and Statistics at McGill University in Montreal, Canada. He has published over 140 research papers, mostly in matrix methods for statistics, and since 2005, his main interests have focused on magic squares, and mathematical and statistical philately.
Bibliographische Angaben
- Autoren: Simo Puntanen , George P. H. Styan , Jarkko Isotalo
- 2013, 2013, 125 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3642329314
- ISBN-13: 9783642329319
- Erscheinungsdatum: 29.05.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.06 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Pressezitat
(Nicoleta Breaz, zbMATH, Vol. 1276, 2014)
Kommentar zu "Formulas Useful for Linear Regression Analysis and Related Matrix Theory / SpringerBriefs in Statistics"
0 Gebrauchte Artikel zu „Formulas Useful for Linear Regression Analysis and Related Matrix Theory / SpringerBriefs in Statistics“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Formulas Useful for Linear Regression Analysis and Related Matrix Theory / SpringerBriefs in Statistics".
Kommentar verfassen